MCP-Server
Stonewake
ai.stonewake/stonewake
Was dieses MCP kann
Provides cited company, country, portfolio and credit-risk intelligence for bank and export-finance workflows.
Funktionen
Tools
20
Tools
company_events
Company events
The register event feed of one company: filings, status changes, and other register happenings, grouped into display rows and ordered by significance tier, each row citing its evidencing record where one exists. Takes node_id, the graph node id from search_companies hits. Related events arrive folded into one rollup row with a member_count and a group_key; pass that group_key as group to expand one rollup into its member events. A citation whose notice is set carries a text to show with the record; keep that notice with the record wherever it is quoted onward. For a company with a German register entry, insolvency_lookup states when its German insolvency notices were last looked up (the portal allows single company lookups only, so they are complete as of that lookup alone); show its note beside the feed.
Nur Lesen
Idempotent
Eingabeschema
{'type': 'object', 'required': ['node_id'], 'properties': {'group': {'type': 'string', 'maxLength': 200, 'minLength': 1, 'description': 'A group_key from a previous response; expands that one rollup into its member events.'}, 'node_id': {'type': 'integer', 'minimum': 1, 'description': 'The graph node id, as returned by search_companies hits. Not the entity_id of company_profile.'}}, 'additionalProperties': False}
company_financials
Company financials
Every financial figure for one company, newest reporting period first, each figure citing the source record it came from (a public register, a public filing repository, or the annual financial report the issuer published on its own website). Takes node_id, the graph node id carried by search_companies hits (not the entity_id of company_profile). Figures are served as filed at the source, except a figure with derived true, which the filing does not state and which was calculated from two figures the same filing states; its derivation says how in plain words. A missing period means nothing was filed, not zero.
Nur Lesen
Idempotent
Eingabeschema
{'type': 'object', 'required': ['node_id'], 'properties': {'node_id': {'type': 'integer', 'minimum': 1, 'description': 'The graph node id, as returned by search_companies hits. Not the entity_id of company_profile.'}}, 'additionalProperties': False}
company_financing
Company financing
The debt surface of one company: registered charges with status lines and bound lenders, listed debt instruments, filed debt position facts, derived aggregates, a maturity wall, and per section coverage states saying how complete each section is. Takes node_id, the graph node id from search_companies hits. Long instrument books fold into the maturity wall; pass bucket (within_12m, 1_to_2y, 2_to_5y, beyond_5y, or no_maturity) to expand one maturity slice, and include_matured true to also list matured instruments.
Nur Lesen
Idempotent
Eingabeschema
{'type': 'object', 'required': ['node_id'], 'properties': {'bucket': {'enum': ['within_12m', '1_to_2y', '2_to_5y', 'beyond_5y', 'no_maturity'], 'type': 'string', 'description': 'Expand one maturity-wall slice into its instruments.'}, 'node_id': {'type': 'integer', 'minimum': 1, 'description': 'The graph node id, as returned by search_companies hits. Not the entity_id of company_profile.'}, 'include_matured': {'type': 'boolean', 'description': 'Also list matured instruments, default false.'}}, 'additionalProperties': False}
company_profile
Company profile
One registry row's identity from the closed Stonewake registry of named market participants (export credit agencies, multilaterals, development finance institutions, development banks, government agencies and banks, plus the trade publications deals cite): slug, display name, full name, kind and its label, country and location, aliases, and group memberships. Takes entity_id from the registry's own id space. This is NOT the node_id that search_companies returns and entity_risk_profile takes; the two id spaces are different, and an id from the wrong space answers not_found.
Nur Lesen
Idempotent
Eingabeschema
{'type': 'object', 'required': ['entity_id'], 'properties': {'entity_id': {'type': 'integer', 'minimum': 1, 'description': 'The registry entity id. Not a graph node_id from search_companies.'}}, 'additionalProperties': False}
company_records
Company register records
The register records behind one company, a page at a time. Each row is a citation (register, record type, identifier, source URL, retrieval date), newest first. Takes node_id, the graph node id from search_companies hits. Every page states records_total, the company's whole count, and registers, each register's connector_id, name and count; pass one connector_id to page that register alone. A company listed in a securities register can hold over 100,000 records, so page with limit (default and maximum 25) and offset, and read registers first to decide what to page. A row whose notice is set carries a text to show with the record; keep that notice with the record wherever it is quoted onward.
Nur Lesen
Idempotent
Eingabeschema
{'type': 'object', 'required': ['node_id'], 'properties': {'limit': {'type': 'integer', 'maximum': 25, 'minimum': 1, 'description': 'Page size, default and maximum 25.'}, 'offset': {'type': 'integer', 'maximum': 9223372036854775807, 'minimum': 0, 'description': 'Rows to skip, default 0.'}, 'node_id': {'type': 'integer', 'minimum': 1, 'description': 'The graph node id, as returned by search_companies hits. Not the entity_id of company_profile.'}, 'connector_id': {'type': 'string', 'maxLength': 64, 'minLength': 1, 'description': 'One register to page, as a registers row names it; omit it to page every register newest first.'}}, 'additionalProperties': False}
country_profile
Country profile
Country intelligence for export finance. Without iso3 this returns the index of covered countries with each one's risk score and the caller team's live deal rollup. With iso3 (a three letter ISO 3166-1 alpha-3 code such as TUR) it returns one country in depth: the risk score with its cited component breakdown, indicator values, membership lists with legal citations, reference events, and the team's deals there. Indicator and dataset entries carry attribution fields such as attribution_text stating the data licence terms; preserve that attribution whenever values are quoted onward.
Nur Lesen
Idempotent
Eingabeschema
{'type': 'object', 'properties': {'iso3': {'type': 'string', 'maxLength': 3, 'minLength': 3, 'description': 'ISO 3166-1 alpha-3 country code; omit to list every covered country.'}}, 'additionalProperties': False}
deal_book
Deal book
The deal book of the one team the caller's key reads; every row names that team (team_id, team_name). Without deal_id this lists deals ordered by their ranking window first (financing open, early stage, not confirmed, financing closed, cancelled) and the score inside it unless sort names one column, filterable by stage, window, country_code (ISO country codes), sector, status, eca, eca_named (only deals naming an export credit agency), minimum contract value (min_value_usd), and free text (q); sort is priority (the default, the window order above) or one column that orders the whole filtered book, score, value (the USD value), last_activity, stage (the pipeline order), name or first_seen, with direction desc (the default) or asc and rows without a value last, or latest_update, which ignores the window and orders by the newest dated event, rows without one last, desc only; paged with limit (default 50, maximum 100) and offset, with the exact total. Dismissed deals are excluded unless status asks for them, and the portfolio rows a desk holds back by default (closed, cancelled, older than the stale window of 12 months by default, own bank, domestic; score_hidden true) are off the page unless include_hidden is true, and score_own_bank marks the rows where your own bank is a lender. A row carrying merged_into was found to be a duplicate and folded into the deal that field names: read that deal instead, and expect this one to be dismissed. Each row carries its window (score_window and its label), the band word and reason count behind its score (score_band, score_reason_count), the confirmed state over its linked findings (state, state_label), the newest quote backed event date (event_date, null when no source stated one), the lender names on the deal (lenders), and the two derived sentences a desk reads first: angle (why the row is on the list) and ask (what is still to be financed, read from the confirmed state, the window, the agencies and the lenders; a row whose state no source confirmed reads State not confirmed by a source yet), latest_update (the newest event a source dated and confirmed, with its date, a short label naming the confirmed state and the amount only where a quote states it, the state and the finding_id it rests on, null when there is none) and has_unseen_update (true when that event reached the deal after your last open of it in the dashboard, null for an API key, which records no opens). With deal_id (the deal_id field of list rows) it returns one deal in full: score_reasons, one plain sentence per scoring component saying which fact it matched, alongside parties carrying entity_id and node_id where bound, the cited timeline with press quotes (each entry also carrying the state its quote confirmed, the confirming passage and the event date), lifecycle events, sources each carrying source_tier (1 a primary source, 2 trade press, 3 an aggregator, which is also where an unclassified publisher lands) and its tier_label, the deal summary (summary_lines: three lines generated from the cited findings by fixed rules, not by a model, each with the finding and quote behind every field it states), the briefing (null, or text, drafted_at, drafted_by, which reads model, and sources, a quick summary an AI model drafts from the text of the deal's cited sources with those sources listed by source_id, url, publisher and published_at, only its numbers written in digits checked against that text, null until it is drafted and whenever no sentence passes its check), the analyst's own next_action, and economics.
Nur Lesen
Idempotent
Eingabeschema
{'type': 'object', 'properties': {'q': {'type': 'string', 'maxLength': 128, 'minLength': 1, 'description': 'Free-text filter over deal names and summaries.'}, 'eca': {'type': 'string', 'maxLength': 128, 'minLength': 1, 'description': 'Keep only deals naming this export credit agency.'}, 'sort': {'enum': ['priority', 'score', 'value', 'last_activity', 'stage', 'name', 'first_seen', 'latest_update'], 'type': 'string', 'description': 'The order, default priority (the ranking window first). latest_update orders by the newest dated event, whatever the window. Any other value orders the whole filtered book by that one column.'}, 'limit': {'type': 'integer', 'maximum': 100, 'minimum': 1, 'description': 'Page size, default 50, maximum 100.'}, 'stage': {'type': 'array', 'items': {'type': 'string'}, 'description': 'Keep only these lifecycle stages.'}, 'offset': {'type': 'integer', 'minimum': 0, 'description': 'Rows to skip, default 0.'}, 'sector': {'type': 'array', 'items': {'type': 'string'}, 'description': 'Keep only these sectors.'}, 'status': {'type': 'array', 'items': {'type': 'string'}, 'description': 'Keep only these statuses; dismissed deals appear only when asked for here.'}, 'window': {'type': 'array', 'items': {'type': 'string'}, 'description': 'Keep only these ranking windows: financing_open, early_stage, not_confirmed, financing_closed, cancelled.'}, 'deal_id': {'type': 'string', 'maxLength': 128, 'minLength': 1, 'description': 'A deal_id from the list; when present the other arguments are not used.'}, 'direction': {'enum': ['desc', 'asc'], 'type': 'string', 'description': 'desc (the default) or asc. The priority and latest_update orders read desc only.'}, 'eca_named': {'type': 'boolean', 'description': 'Keep only deals naming an export credit agency.'}, 'country_code': {'type': 'array', 'items': {'type': 'string'}, 'description': 'Keep only deals in these ISO country codes.'}, 'min_value_usd': {'type': 'number', 'minimum': 0, 'description': 'Keep only deals at or above this contract value in USD.'}, 'include_hidden': {'type': 'boolean', 'description': 'Also serve the rows a desk holds back by default (closed, cancelled, older than the stale window, own bank, domestic); off by default.'}}, 'additionalProperties': False}
developments
Developments
Dated, cited developments surfaced by your team's research runs, the runs of the one team the caller's key reads: grounded findings with a headline, category, verification state, and corroborating source count. Without run_id this is a feed paged with limit (default 25, maximum 100) and offset, with the exact total; sort is recent (default) or score. Each row names the run_id it came from and its team (team_id, team_name); pass run_id to load that whole research run with its grounded findings, press quotes, and cited sources. Another team's run_id answers not found, like an unknown one.
Nur Lesen
Idempotent
Eingabeschema
{'type': 'object', 'properties': {'sort': {'enum': ['recent', 'score'], 'type': 'string', 'description': 'Feed order: recent (default) or score.'}, 'limit': {'type': 'integer', 'maximum': 100, 'minimum': 1, 'description': 'Page size, default 25, maximum 100.'}, 'offset': {'type': 'integer', 'minimum': 0, 'description': 'Rows to skip, default 0.'}, 'run_id': {'type': 'string', 'maxLength': 128, 'minLength': 1, 'description': 'A run_id from a development row; when present the other arguments are not used.'}}, 'additionalProperties': False}
entity_risk_profile
Entity risk profile
The caller team's credit-risk view of one company, by its graph node_id (the id search_companies hits carry). Answers one of three honest shapes: not in the portfolio (in_portfolio false), held but not yet assessed (assessment null), or the full current assessment with its status band, score, seen_share, explained_share and reachable_share (the figure the insufficient floor reads), a coverage_line of one to three sentences counting covered signals and gaps with their reasons, and every signal with its state (evidenced, register_quiet, gap, awaiting_bank_input, not_applicable), gap_reason, evidence grade (A to D), evidence value, note, and citation ids. A signal no connected source reaches for the company's jurisdiction is a gap, never not_applicable. A held company also carries entity_class: the class its checks route on (a bank is never scored on corporate distress models) and its source, either your team's analyst override or the register rule that derived it. Company nodes only; person lookups answer not_found.
Nur Lesen
Idempotent
Eingabeschema
{'type': 'object', 'required': ['node_id'], 'properties': {'node_id': {'type': 'integer', 'minimum': 1, 'description': 'The graph node id, as returned by search_companies. Not the entity_id of company_profile.'}}, 'additionalProperties': False}
exposure_review_history
Exposure review history
One exposure's credit review history, newest first, so the first item is the standing review and each later one the review it superseded. Each review carries its disposition (no_action, watch_list, intensified_care or escalated), note, next review date and when it was recorded. The history is append only, and a correction is a newer review. Takes exposure_id, the id of a portfolio_book row (not a node_id). An exposure outside the caller team's book answers not_found. Owners and reviewers are member identities and are not served. Paged with limit and offset; the response carries the exact total.
Nur Lesen
Idempotent
Eingabeschema
{'type': 'object', 'required': ['exposure_id'], 'properties': {'limit': {'type': 'integer', 'maximum': 100, 'minimum': 1, 'description': 'Page size, default 50, maximum 100.'}, 'offset': {'type': 'integer', 'minimum': 0, 'description': 'Rows to skip, default 0.'}, 'exposure_id': {'type': 'integer', 'minimum': 1, 'description': 'The exposure id, as portfolio_book rows carry it in id. Not a graph node_id.'}}, 'additionalProperties': False}
ownership_chain
Ownership chain
The upward ownership chains of one company, composed across registers and cited hop by hop, with per register coverage notes. Takes node_id, the graph node id from search_companies hits. threshold is the minimum ownership percentage a chain must keep to be followed, default 25; max_depth caps the number of hops, default and maximum 8. Served owners are organizations; a chain reaching an individual terminates there with a stated terminal reason. Hop values are served verbatim from the registers, never synthesized.
Nur Lesen
Idempotent
Eingabeschema
{'type': 'object', 'required': ['node_id'], 'properties': {'node_id': {'type': 'integer', 'minimum': 1, 'description': 'The graph node id, as returned by search_companies hits. Not the entity_id of company_profile.'}, 'max_depth': {'type': 'integer', 'maximum': 8, 'minimum': 1, 'description': 'Maximum hops to walk, default and maximum 8.'}, 'threshold': {'type': 'number', 'maximum': 100, 'description': 'Minimum ownership percentage a chain must keep, default 25.', 'exclusiveMinimum': 0}}, 'additionalProperties': False}
portfolio_book
Portfolio book
The monitored book itself: one row per exposure with the team whose book holds it (team_id, team_name), its label, register identifier, entity class (corporate, sovereign_or_public_body, bank, spv or fund, derived from register-stated facts and null when none has been derived yet), desk, current status band, score, completeness, seen_share (the weight share of applicable signals actually observed), explained_share and reachable_share (the observed share of what a connected source can serve, the figure the insufficient floor reads), the top contributing signals with their citation ids, the most recent status change, and the standing credit review (disposition, note, next review date, and whether that date has passed). Ordered most severe first (red, amber, insufficient, not_assessed, green). Paged with limit and offset; the response carries the exact total. Set include_inactive true to include exposures no longer actively monitored.
Nur Lesen
Idempotent
Eingabeschema
{'type': 'object', 'properties': {'limit': {'type': 'integer', 'maximum': 100, 'minimum': 1, 'description': 'Page size, default 50, maximum 100.'}, 'offset': {'type': 'integer', 'minimum': 0, 'description': 'Rows to skip, default 0.'}, 'include_inactive': {'type': 'boolean', 'description': 'Include exposures no longer actively monitored.'}}, 'additionalProperties': False}
portfolio_import_preview
Portfolio import preview
Preview adding a book of companies to the caller team's monitored portfolio. Pass the book as CSV text whose header is identifier_type,identifier plus, optionally, name, currency, limit_amount and drawn_amount; at most 2,000 rows. Every row is matched by its registry identifier alone, where identifier_type is lei, uk_crn, de_register (register type, number and court, for example HRB 275806 München), us_cik or another national register scheme. The name column is echoed back and never used to match. Each row answers its outcome (add, reactivate, in_book, duplicate, ambiguous, unresolved, invalid), a reason, and the matched node_id and register name. Rows are paged with limit and offset in file order; counts and total always cover the whole file, so page on until offset reaches total. Nothing is written, and applying an import happens in the Stonewake dashboard.
Nur Lesen
Idempotent
Eingabeschema
{'type': 'object', 'required': ['csv'], 'properties': {'csv': {'type': 'string', 'maxLength': 1000000, 'minLength': 1, 'description': 'The book as CSV text, header row first.'}, 'limit': {'type': 'integer', 'maximum': 100, 'minimum': 1, 'description': 'Page size, default 100, maximum 100.'}, 'offset': {'type': 'integer', 'minimum': 0, 'description': 'Rows to skip, default 0.'}}, 'additionalProperties': False}
portfolio_overview
Portfolio overview
Current health of the monitored portfolio: how many exposures sit in each status band (green, amber, red, insufficient, not_assessed), the active exposure count, the number of transitions in the last 30 days and how many of them are status changes (an exposure's first assessment is an addition to the book, a transition but not a change), and how many exposures have an overdue credit review. Optionally pass transitions_since (an ISO 8601 date-time) to also list the individual status transitions since that moment, newest first, each with its cause: the signals whose change moved the status, their citation ids, and the register record behind the lead one. Start here for questions like how the book is doing or what changed since a date and why.
Nur Lesen
Idempotent
Eingabeschema
{'type': 'object', 'properties': {'transitions_since': {'type': 'string', 'format': 'date-time', 'description': 'Also return status transitions at or after this ISO 8601 date-time, newest first.'}}, 'additionalProperties': False}
portfolio_reviews_due
Portfolio reviews due
The credit reviews of the monitored book that need attention today (UTC), the overdue ones, whose standing next review date has passed, and those falling due within window_days (14), today included, each group soonest first. Every row names its exposure, team, company label and node_id, current status band, disposition and next review date. Each group lists at most 50 rows, while overdue_total and due_soon_total count every one; never_reviewed counts the active exposures with no review yet. Exposures no longer actively monitored are never listed. Owners are member identities and are not served.
Nur Lesen
Idempotent
Eingabeschema
{'type': 'object', 'properties': {}, 'additionalProperties': False}
sanctions_person_candidates
Sanctions person candidates
Review candidates for the natural persons that public registers link to the companies on the caller's team's book (officers, shareholders, beneficial owners), matched by name and by the list's own aliases against the person designations on the four official sanctions lists (EU Financial Sanctions Files, UK Sanctions List, OFAC SDN and OFAC non SDN). A date of birth or nationality both sides state that contradicts removes a candidate. A candidate is review material, never a match, and sets no portfolio status or score; each row names the list, the designation reference, the listed names, the fields that matched (matched_on) and those that narrowed (narrowed_on), a link to the official file, and status open or confirmed (an analyst confirmed it on the dashboard, where decisions are made). The result also carries lists, one entry per list with its reading, Checked or Not checked, the reason where it is not checked, its edition and the time of its last check, lists_not_checked, their count, and persons_compared, the count of register persons that were compared. A list that is switched off or was not checked within the last 48 hours reads Not checked, so an empty page says only that no open or confirmed candidate exists among the register persons compared, and it says nothing while lists_not_checked is above 0. Rejected candidates are not served, and a person whom no connected register links to the book is not compared. Paged with limit (default 50, maximum 100) and offset, with the exact total. Available only in workspaces where sanctions person matching is switched on; elsewhere it answers not found.
Nur Lesen
Idempotent
Eingabeschema
{'type': 'object', 'properties': {'limit': {'type': 'integer', 'maximum': 100, 'minimum': 1, 'description': 'Page size, default 50, maximum 100.'}, 'offset': {'type': 'integer', 'minimum': 0, 'description': 'Rows to skip, default 0.'}}, 'additionalProperties': False}
scoring_rubric
Scoring rubric
How scores are produced for the caller's team: the live scoring configuration (signal weights, status thresholds, evidence-coverage floor; version null means the built-in desk default is active) together with the team's stored rubric versions, newest first. Use this to interpret the status bands and scores that the portfolio and risk tools return.
Nur Lesen
Idempotent
Eingabeschema
{'type': 'object', 'properties': {}, 'additionalProperties': False}
screening_lookup
Screening lookup
Screenings run for the caller's team, covering organizations and countries; each row names its team (team_id, team_name; both null on a workspace wide screening every team reads). Without screening_id this lists screening runs newest first, filterable by subject_type (entity or country), by the subject's ids (node_id for a company from search_companies, entity_id for a registry institution from company_profile, iso3 for a country), or by subject name; paged with limit (default 20, maximum 100) and offset, and the response carries the exact total. With screening_id it returns that one run in full. First comes official_lists, a deterministic comparison of the subject with each official sanctions list it names, made when the run is read and not on the screening day, one status per list (listed only on an identifier the list itself states, name match awaiting review, name match reviewed, no entry found, or not checked with the reason; a name match is never a hit, names match exactly so other spellings are not found, and a list that was not checked never reads as clear). Then the adverse media verdicts per category with rationale and review state, the drafted summary, grounded findings with their press quotes, and the sources behind them. Findings quote reported coverage, not established fact.
Nur Lesen
Idempotent
Eingabeschema
{'type': 'object', 'properties': {'iso3': {'type': 'string', 'maxLength': 3, 'minLength': 3, 'description': "Filter by the screened country's ISO alpha-3 code."}, 'limit': {'type': 'integer', 'maximum': 100, 'minimum': 1, 'description': 'Page size, default 20, maximum 100.'}, 'offset': {'type': 'integer', 'minimum': 0, 'description': 'Rows to skip, default 0.'}, 'node_id': {'type': 'integer', 'minimum': 1, 'description': "Filter by the subject's graph node id."}, 'subject': {'type': 'string', 'maxLength': 256, 'minLength': 1, 'description': 'Filter by subject name, matched on its normalized form.'}, 'entity_id': {'type': 'integer', 'minimum': 1, 'description': "Filter by the subject's registry entity id."}, 'screening_id': {'type': 'integer', 'minimum': 1, 'description': 'A screening id from the list; when present the other arguments are not used.'}, 'subject_type': {'enum': ['entity', 'country'], 'type': 'string', 'description': 'Filter the list by subject kind.'}}, 'additionalProperties': False}
search_companies
Search companies
Find a company by name or identifier. The query can be a scheme-prefixed identifier such as lei:5493001KJTIIGC8Y1R12, a bare registration number (CRN, CIK, LEI and similar shapes), or a company name (matched exact, then prefix, then token, then fuzzy). Hits carry the graph node_id that entity_risk_profile takes, plus jurisdiction, status fields, and register identifiers. connected_sources names the registers an empty result was searched against. Companies only; persons are never returned.
Nur Lesen
Idempotent
Eingabeschema
{'type': 'object', 'required': ['query'], 'properties': {'limit': {'type': 'integer', 'maximum': 25, 'minimum': 1, 'description': 'Maximum hits, default 10, maximum 25.'}, 'query': {'type': 'string', 'maxLength': 256, 'minLength': 2, 'description': 'Company name, scheme:value identifier, or bare number.'}}, 'additionalProperties': False}
search_stonewake_docs
Search Stonewake docs
Search the Stonewake API documentation at docs.stonewake.ai: authentication and the swk_live_ key format, quickstart, key management, error bodies, status codes, and rate limits. Deterministic text search over the official pages; returns the best matching excerpts with each page's URL. This tool needs no Stonewake API key.
Nur Lesen
Idempotent
Eingabeschema
{'type': 'object', 'required': ['query'], 'properties': {'query': {'type': 'string', 'minLength': 2, 'description': 'What to look up, for example: rate limits.'}}, 'additionalProperties': False}
Verlauf
Letzte Tool-Änderungen
Hinzugefügt
sanctions_person_candidates
2. October 2026 02:41
Geändert
company_events
2. October 2026 02:41
Geändert
deal_book
2. October 2026 02:41
Geändert
screening_lookup
2. October 2026 02:41
Geändert
company_profile
2. October 2026 02:41
Geändert
company_records
30. September 2026 02:40
Geändert
company_events
30. September 2026 02:40
Hinzugefügt
exposure_review_history
30. September 2026 02:40
Hinzugefügt
portfolio_reviews_due
30. September 2026 02:40
Geändert
company_financials
28. September 2026 02:40
Hinzugefügt
developments
26. September 2026 02:40
Hinzugefügt
company_records
26. September 2026 02:40
Hinzugefügt
ownership_chain
26. September 2026 02:40
Hinzugefügt
company_financing
26. September 2026 02:40
Hinzugefügt
company_events
26. September 2026 02:40
Hinzugefügt
company_financials
26. September 2026 02:40
Hinzugefügt
country_profile
26. September 2026 02:40
Hinzugefügt
deal_book
26. September 2026 02:40
Hinzugefügt
screening_lookup
26. September 2026 02:40
Hinzugefügt
search_stonewake_docs
26. September 2026 02:40
Hinzugefügt
scoring_rubric
26. September 2026 02:40
Hinzugefügt
company_profile
26. September 2026 02:40
Hinzugefügt
search_companies
26. September 2026 02:40
Hinzugefügt
entity_risk_profile
26. September 2026 02:40
Hinzugefügt
portfolio_import_preview
26. September 2026 02:40
Hinzugefügt
portfolio_book
26. September 2026 02:40
Hinzugefügt
portfolio_overview
26. September 2026 02:40
Entdecken
Ähnliche MCP-Server
Stratalize Finance
com.stratalize/finance
Provides financial, macroeconomic, banking, credit, commodities, M&A, ESG, labor, and regulatory benchmarks for analysis and plan…
AI Arena Agent Tools
ca.ai-arena/agent-tools
Provides read-only SEC corporate filing and XBRL searches, federal award and recipient lookups, and deterministic screening of US…
Ferc Eqr
io.github.pipeworx-io/ferc-eqr
Searches FERC Electric Quarterly Reports for wholesale power sellers, counterparties, contracts, products, rates, delivery points…
HelloBooks AI Agents MCP Server
io.github.HelloBooksAIAgents/hellobooks-mcp
Analyzes bookkeeping exports, accounting anomalies, financial statements, tax compliance information, payment methods, and accoun…
CIGAM
io.github.mcp-dir/cigam-mcp
Connects to CIGAM ERP data for retail and industrial operations, including sales, purchases, inventory, cash flow, payables, rece…
codat
io.usefulapi/codat
Connects company accounting sources through Codat and retrieves financial statements, invoices, bills, transactions, customers, s…
agentstack-mcp
io.github.inity13/agentstack-mcp
Provides deterministic calculators, scenario simulations, weighted decision analysis, sensitivity testing, and business and finan…
edgrapi-skills
io.github.paperandbeyond23-gif/edgrapi-skills
Provides normalized SEC company and market data, financial statements, filings, insider and institutional holdings, federal procu…