MCP Server
outris-identity-mcp
io.github.outris-dev-user/outris-identity-mcp
What this MCP does
Performs identity, KYC, fraud, business, phone, email, bank-account, PAN, GST, vehicle, and due-diligence lookups, including digital footprint and sanctions-related checks.
Capabilities
Tools
19
tools
assess_fraud_risk
Assess the fraud risk of an Indian mobile number. Returns a composite risk profile: SIM age / age-on-network, number revocation status, SIM-swap / port signals, and digital & financial exposure. Set detailed=true for the full signal breakdown. Best for: onboarding risk checks, is-this-number-risky.
Cost: 3 credits
Input schema
{'type': 'object', 'required': ['phone'], 'properties': {'phone': {'type': 'string', 'description': 'Indian mobile number (10-digit, with or without +91).'}, 'detailed': {'type': 'boolean', 'description': 'Include the full raw signal breakdown. Default false.'}}}
check_digital_commerce_activity
**What it does:** Checks if a phone number has been used for any digital commerce activity (ecommerce, travel, quick-commerce).
**Input:** Phone number (Indian numbers only, add ISD code infront).
**Returns:** Boolean flags for overall commerce types, activity timeline, and demographics if available.
**Best for:** Assessing if a phone number belongs to a real, active consumer vs. a throwaway number.
Cost: 1 credit
Input schema
{'type': 'object', 'required': ['phone'], 'properties': {'phone': {'type': 'string', 'description': 'Phone number (with or without country code)'}, 'include_demographics': {'type': 'boolean', 'description': 'Include age/gender estimation (default: true)'}}}
check_job
Check the status/result of an async job by job_id (e.g. from due_diligence_person_start). Free to poll — wait ~10s between polls.
Cost: 0 credits
Input schema
{'type': 'object', 'required': ['job_id'], 'properties': {'job_id': {'type': 'string', 'description': 'The job_id returned by an async tool.'}}}
check_online_platforms
**What it does:** Checks if a phone number is registered on major global platforms (Amazon, Instagram, Snapchat).
**Input:** Phone number (with or without country code).
**Returns:** Registration status (true/false) for each specific platform.
**Best for:** Digital footprint analysis, verifying if a number is "real" and active on social/shopping apps.
Cost: 1 credit
Input schema
{'type': 'object', 'required': ['phone'], 'properties': {'phone': {'type': 'string', 'description': 'Phone number (with or without country code)'}}}
due_diligence_person_start
Start a full due-diligence / background check on a PERSON, anchored on their mobile number (optionally add name, PAN, DOB, email, city). Covers PEP, sanctions, enforcement, cybercrime, breaches, directorships, and adverse media. PREMIUM and ASYNC (~40-70s): it returns a job_id — poll check_job until status is 'complete'. Requires consent: ask the user to open the consent link in portal.outris.com/mcp and pass the consent_token.
Cost: 5 credits
Input schema
{'type': 'object', 'required': ['phone'], 'properties': {'dob': {'type': 'string', 'description': 'Optional date of birth (disambiguates common names).'}, 'pan': {'type': 'string', 'description': 'Optional PAN — strongest key for PEP/enforcement.'}, 'city': {'type': 'string', 'description': 'Optional city (adverse-media disambiguation).'}, 'name': {'type': 'string', 'description': 'Optional subject full name.'}, 'email': {'type': 'string', 'description': 'Optional subject email.'}, 'phone': {'type': 'string', 'description': 'Indian mobile number (10-digit, with or without +91).'}, 'consent': {'type': 'string', 'description': "Deprecated legacy consent flag ('Y'); migration only."}, 'consent_token': {'type': 'string', 'description': 'Server-issued consent token (preferred).'}}}
find_contacts
Skip-trace an Indian mobile number for the person's ALTERNATE phone numbers and current, geocoded addresses. Requires the end user's consent: ask the user to open the consent link in portal.outris.com/mcp and pass the consent_token they receive. Best for: debt collection, locating a person. Never fabricate consent.
Cost: 3 credits
Input schema
{'type': 'object', 'required': ['phone'], 'properties': {'phone': {'type': 'string', 'description': 'Indian mobile number (10-digit, with or without +91).'}, 'consent': {'type': 'string', 'description': "Deprecated legacy consent flag ('Y'); accepted only during migration."}, 'consent_token': {'type': 'string', 'description': 'Server-issued consent token from portal.outris.com/mcp (preferred).'}}}
get_address
**What it does:** Finds physical addresses associated with a phone number.
**Input:** Phone number.
**Returns:** List of addresses with metadata (e.g., "shipping", "billing", "home") and dates.
**Best for:** Fraud investigation, delivery verification, and location analysis.
Cost: 2 credits
Input schema
{'type': 'object', 'required': ['phone'], 'properties': {'phone': {'type': 'string', 'description': 'Phone number'}}}
get_alternate_phones
Get other phone numbers belonging to the same person.
Returns: List of alternate phone numbers linked through shared identities
(same name, email, or address).
Use when: User wants to find all phones associated with a person.
Example queries:
- "What other phones does this person have?"
- "Find alternate numbers for 9876543210"
- "Are there other phones linked to this one?"
Cost: 2 credits
Input schema
{'type': 'object', 'required': ['phone'], 'properties': {'phone': {'type': 'string', 'description': 'Phone number'}}}
get_email
**What it does:** Finds email addresses linked to a phone number.
**Input:** Phone number.
**Returns:** List of email addresses with confidence scores.
**Best for:** Digital footprint analysis, finding contact details, or cross-referencing identities.
Cost: 2 credits
Input schema
{'type': 'object', 'required': ['phone'], 'properties': {'phone': {'type': 'string', 'description': 'Phone number'}}}
get_identity_profile
**What it does:** Comprehensive identity report. Fetches names, emails, addresses, metadata, and risk scores in one go .
**Input:** Phone number.
**Returns:** Complete JSON profile containing all linked entities.
**Best for:** Deep investigations where you need the "full picture" immediately. Understand if similar names, addresses appear, then that gives more confidence
Cost: 3 credits
Input schema
{'type': 'object', 'required': ['phone'], 'properties': {'phone': {'type': 'string', 'description': 'Phone number'}}}
get_name
**What it does:** identifying the owner name of a phone number.
**Input:** Phone number (with or without country code).
**Returns:** List of full names linked to this phone with confidence scores.
**Best for:** KYC verification, caller ID, finding out "who called me".
Cost: 2 credits
Input schema
{'type': 'object', 'required': ['phone'], 'properties': {'phone': {'type': 'string', 'description': 'Phone number'}}}
investigate_email
Trace the person behind an email address — linked names, phone numbers, addresses, and known data breaches. Best for: reverse email lookup, digital footprint, cross-referencing an identity.
Cost: 2 credits
Input schema
{'type': 'object', 'required': ['email'], 'properties': {'email': {'type': 'string', 'description': 'Email address to investigate.'}}}
investigate_phone
Investigate an Indian mobile number and return who is behind it — name(s), addresses, alternate phone numbers, and social/digital footprint. Use depth='basic' for a fast identity bundle (default) or depth='full' for a comprehensive multi-source investigation (slower). Best for: 'who owns this number', caller ID, KYC, skip-tracing.
Cost: 3 credits
Input schema
{'type': 'object', 'required': ['phone'], 'properties': {'depth': {'enum': ['basic', 'full'], 'type': 'string', 'description': 'basic = fast identity bundle (default); full = comprehensive investigation (slower).'}, 'phone': {'type': 'string', 'description': 'Indian mobile number (10-digit, with or without +91).'}}}
lookup_gst
Look up GST registration details for a business by its GSTIN (15-character GST number). Returns legal/trade name, status, registration type, and address. Best for: GST verification, vendor onboarding.
Cost: 2 credits
Input schema
{'type': 'object', 'required': ['gstin'], 'properties': {'gstin': {'type': 'string', 'description': '15-character GSTIN.'}}}
lookup_vehicle
Look up an Indian vehicle by its RC (registration) number — returns make/model, registration details, and the registered owner. Best for: vehicle verification, RC checks.
Cost: 2 credits
Input schema
{'type': 'object', 'required': ['rc_number'], 'properties': {'rc_number': {'type': 'string', 'description': 'Vehicle registration number (e.g. MH12AB1234).'}}}
resolve_company
Resolve an Indian company from its NAME and return its CIN (Corporate Identification Number) plus any GSTIN / MSME registrations discovered along the way. Best for: 'is this a real company', KYB entry point, finding a CIN from a company name.
Cost: 3 credits
Input schema
{'type': 'object', 'required': ['company_name'], 'properties': {'company_name': {'type': 'string', 'description': 'Company name to resolve.'}}}
smart_lookup
Answer any other identity / KYC / business question when no specific tool fits. Provide a natural-language `question` plus the `identifiers` you already have (phone, email, PAN, GSTIN, CIN, DIN, UAN, IFSC, vehicle RC, UPI VPA, UDIN, or a company name). It figures out the right lookup — or a short sequence — and returns the answer. Only pass identifiers the user actually gave you; never invent one. For consent-required lookups, ask the user to open the consent link in portal.outris.com/mcp and pass the consent_token they receive.
Cost: 3 credits
Input schema
{'type': 'object', 'required': ['question', 'identifiers'], 'properties': {'consent': {'type': 'string', 'description': "Deprecated legacy consent flag ('Y'); accepted only during migration. Prefer consent_token."}, 'question': {'type': 'string', 'description': "The user's question in plain language."}, 'identifiers': {'type': 'object', 'description': 'Identifiers you have, as {type: value} — e.g. {"pan": "ABCDE1234F"} or {"phone": "9876543210"}. Only include values the user provided.'}, 'consent_token': {'type': 'string', 'description': 'Server-issued consent token from portal.outris.com/mcp (preferred for consent-required lookups).'}}}
verify_bank_account
Validate an Indian bank account WITHOUT moving any money (no-debit NPCI validation) and return whether it is valid plus the account holder's name for matching. Best for: payout/beneficiary verification. This does NOT transfer funds.
Cost: 2 credits
Input schema
{'type': 'object', 'required': ['account_number', 'ifsc'], 'properties': {'ifsc': {'type': 'string', 'description': "IFSC code of the account's branch."}, 'account_number': {'type': 'string', 'description': 'Bank account number to validate.'}}}
verify_pan
Verify an Indian PAN (Permanent Account Number) and return the holder's name, status, and PAN type (individual / company / etc.). Best for: KYC, PAN validity checks.
Cost: 2 credits
Input schema
{'type': 'object', 'required': ['pan'], 'properties': {'pan': {'type': 'string', 'description': '10-character PAN (e.g. ABCDE1234F).'}}}
History
Recent tool changes
Added
check_digital_commerce_activity
Sept. 17, 2026, 12:45 p.m.
Added
get_alternate_phones
Sept. 17, 2026, 12:45 p.m.
Added
get_address
Sept. 17, 2026, 12:45 p.m.
Added
get_email
Sept. 17, 2026, 12:45 p.m.
Added
get_name
Sept. 17, 2026, 12:45 p.m.
Added
get_identity_profile
Sept. 17, 2026, 12:45 p.m.
Added
check_online_platforms
Sept. 17, 2026, 12:45 p.m.
Added
smart_lookup
Sept. 17, 2026, 12:45 p.m.
Added
verify_bank_account
Sept. 17, 2026, 12:45 p.m.
Added
lookup_vehicle
Sept. 17, 2026, 12:45 p.m.
Added
verify_pan
Sept. 17, 2026, 12:45 p.m.
Added
lookup_gst
Sept. 17, 2026, 12:45 p.m.
Added
resolve_company
Sept. 17, 2026, 12:45 p.m.
Added
investigate_email
Sept. 17, 2026, 12:45 p.m.
Added
check_job
Sept. 17, 2026, 12:45 p.m.
Added
due_diligence_person_start
Sept. 17, 2026, 12:45 p.m.
Added
find_contacts
Sept. 17, 2026, 12:45 p.m.
Added
assess_fraud_risk
Sept. 17, 2026, 12:45 p.m.
Added
investigate_phone
Sept. 17, 2026, 12:45 p.m.
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