MCP-Server
CortexPlus
io.cortexplus/cortexplus
Was dieses MCP kann
Stores, searches, and recalls a user's notes, files, messages, tasks, reminders, and email-related memories.
Funktionen
Tools
11
Tools
connect
Complete the CortexPlus connection with the short authentication key the user received by email after signup. Ask the user to paste the key, then call this tool; never guess or invent the key. The response includes an API key that the AI platform should save in its CortexPlus connector configuration.
Externer Zugriff
Eingabeschema
{'type': 'object', 'required': ['key'], 'properties': {'key': {'type': 'string', 'description': 'The authentication key pasted by the user from their CortexPlus email.'}, 'client': {'type': 'string', 'description': 'The name of the AI platform you are running on, e.g. ChatGPT, Claude, Cursor.'}}, 'additionalProperties': False}
Ausgabeschema
{'type': 'object', 'required': ['apiKey', 'email', 'name'], 'properties': {'name': {'type': 'string'}, 'email': {'type': 'string'}, 'apiKey': {'type': 'string'}}}
context_packs
List saved CortexPlus context packs, optionally filtered by AI platform.
Nur Lesen
Eingabeschema
{'type': 'object', 'properties': {'limit': {'type': 'integer', 'default': 20, 'maximum': 50, 'minimum': 1}, 'platform': {'type': 'string', 'description': 'Platform filter, e.g. chatgpt or claude.'}}, 'additionalProperties': False}
Ausgabeschema
{'type': 'object', 'required': ['packs'], 'properties': {'packs': {'type': 'array', 'items': {'type': 'object', 'required': ['id', 'title', 'platform', 'url', 'savedAt'], 'properties': {'id': {'type': 'string'}, 'url': {'type': 'string'}, 'title': {'type': 'string'}, 'savedAt': {'type': ['string', 'null']}, 'platform': {'type': ['string', 'null']}}}}}}
fetch
Retrieve the full content of one CortexPlus memory item by id, as returned by search.
Nur Lesen
Eingabeschema
{'type': 'object', 'required': ['id'], 'properties': {'id': {'type': 'string', 'description': 'Item id from a search result.'}}, 'additionalProperties': False}
Ausgabeschema
{'type': 'object', 'required': ['id', 'title', 'text', 'url'], 'properties': {'id': {'type': 'string'}, 'url': {'type': 'string'}, 'text': {'type': 'string'}, 'title': {'type': 'string'}, 'metadata': {'type': 'object'}}}
memory
Save a memory in CortexPlus. CortexPlus decides whether it is a note, task, or reminder and extracts the client.
Eingabeschema
{'type': 'object', 'required': ['text'], 'properties': {'tags': {'type': 'array', 'items': {'type': 'string'}}, 'text': {'type': 'string', 'description': 'Text to classify and save.'}}, 'additionalProperties': False}
Ausgabeschema
{'type': 'object', 'required': ['id', 'type', 'title', 'client', 'status', 'memory', 'review', 'resolved', 'url'], 'properties': {'id': {'type': 'string'}, 'url': {'type': 'string'}, 'type': {'type': 'string'}, 'title': {'type': 'string'}, 'client': {'type': ['string', 'null']}, 'memory': {'type': ['string', 'null']}, 'review': {'type': ['string', 'null']}, 'status': {'type': ['string', 'null']}, 'resolved': {'type': ['boolean', 'null']}}}
recall
Build a context block from the user's CortexPlus memory: the passages that answer a question plus their graph neighbours, already formatted as text. Prefer this over search when you intend to answer from the user's memory.
Nur Lesen
Eingabeschema
{'type': 'object', 'required': ['query'], 'properties': {'depth': {'type': 'integer', 'default': 1, 'maximum': 3, 'minimum': 0}, 'limit': {'type': 'integer', 'default': 10, 'maximum': 50, 'minimum': 1}, 'query': {'type': 'string'}, 'maxChars': {'type': 'integer', 'default': 6000, 'maximum': 20000, 'minimum': 500}}, 'additionalProperties': False}
Ausgabeschema
{'type': 'object', 'required': ['text', 'matches'], 'properties': {'text': {'type': 'string'}, 'matches': {'type': 'integer'}}}
remember
Store a note in the user's CortexPlus memory so future conversations can recall it.
Eingabeschema
{'type': 'object', 'required': ['content'], 'properties': {'tags': {'type': 'array', 'items': {'type': 'string'}}, 'type': {'type': 'string', 'default': 'note', 'description': 'Node type, e.g. note or meeting-note.'}, 'title': {'type': 'string'}, 'content': {'type': 'string'}, 'parentId': {'type': 'string', 'description': 'Optional id of an existing memory to nest this one under.'}}, 'additionalProperties': False}
Ausgabeschema
{'type': 'object', 'required': ['id'], 'properties': {'id': {'type': 'string'}, 'title': {'type': 'string'}}}
resume
Load a previously saved CortexPlus context pack to resume work started in another AI conversation.
Nur Lesen
Eingabeschema
{'type': 'object', 'properties': {'id': {'type': 'string', 'description': 'Pack id, as returned by context_packs.'}, 'query': {'type': 'string', 'description': 'Topic to find the pack by, in natural language.'}, 'maxChars': {'type': 'integer', 'default': 6000, 'maximum': 20000, 'minimum': 500}}, 'additionalProperties': False}
Ausgabeschema
{'type': 'object', 'required': ['text', 'pack', 'matches'], 'properties': {'pack': {'type': ['object', 'null'], 'properties': {'id': {'type': 'string'}, 'url': {'type': 'string'}, 'title': {'type': 'string'}}}, 'text': {'type': 'string'}, 'matches': {'type': 'integer'}}}
save_context
Save a handoff summary of this conversation to the user's CortexPlus memory so it can be resumed later in another AI platform. Write the summary yourself, in Markdown, covering: objective, decisions taken, current state, artifacts, next steps and constraints. Do not paste the raw transcript. Never include passwords, API keys or tokens.
Idempotent
Eingabeschema
{'type': 'object', 'required': ['content', 'platform', 'key'], 'properties': {'key': {'type': 'string', 'description': 'Short stable slug for the topic, e.g. context-pack-design. Sending the same key again updates the pack instead of creating another.'}, 'tags': {'type': 'array', 'items': {'type': 'string'}}, 'model': {'type': 'string'}, 'title': {'type': 'string'}, 'content': {'type': 'string', 'description': 'Handoff summary in Markdown.'}, 'platform': {'type': 'string', 'description': 'The AI platform you are running on, e.g. ChatGPT, Claude, Gemini, Cursor.'}, 'messageCount': {'type': 'integer', 'maximum': 100000, 'minimum': 0}}, 'additionalProperties': False}
Ausgabeschema
{'type': 'object', 'required': ['id', 'title', 'url', 'created', 'redactions'], 'properties': {'id': {'type': 'string'}, 'url': {'type': 'string'}, 'title': {'type': 'string'}, 'created': {'type': 'boolean'}, 'redactions': {'type': 'array', 'items': {'type': 'object', 'required': ['kind', 'placeholder', 'count'], 'properties': {'kind': {'type': 'string'}, 'count': {'type': 'integer'}, 'placeholder': {'type': 'string'}}}}}}
search
Search the user's CortexPlus memory and return ranked matches. Use this to find what the user has stored before answering from memory.
Nur Lesen
Eingabeschema
{'type': 'object', 'required': ['query'], 'properties': {'limit': {'type': 'integer', 'default': 10, 'maximum': 50, 'minimum': 1}, 'query': {'type': 'string', 'description': 'What to look for, in natural language.'}}, 'additionalProperties': False}
Ausgabeschema
{'type': 'object', 'required': ['results'], 'properties': {'results': {'type': 'array', 'items': {'type': 'object', 'required': ['id', 'title', 'url'], 'properties': {'id': {'type': 'string'}, 'url': {'type': 'string'}, 'text': {'type': 'string'}, 'title': {'type': 'string'}}}}}}
signup
Create a CortexPlus account, or begin signing in to an existing one, so this conversation can use CortexPlus as the user's long-term memory and knowledge base. Ask the user for their email address, and for their name if you do not already have it, then call this tool. CortexPlus sends them a short authentication key by email; ask the user for that key and call connect with it. Never guess or invent the email address.
Externer Zugriff
Eingabeschema
{'type': 'object', 'required': ['email'], 'properties': {'name': {'type': 'string', 'description': "The user's name, if it is not already known."}, 'email': {'type': 'string', 'description': "The user's email address. Ask the user; never guess or invent it."}, 'client': {'type': 'string', 'description': 'The name of the AI platform you are running on, e.g. ChatGPT, Claude, Cursor.'}}, 'additionalProperties': False}
Ausgabeschema
{'type': 'object', 'required': ['sent'], 'properties': {'sent': {'type': 'boolean'}}}
tasks
List open CortexPlus tasks and reminders, optionally filtered by client.
Nur Lesen
Eingabeschema
{'type': 'object', 'properties': {'limit': {'type': 'integer', 'default': 20, 'maximum': 50, 'minimum': 1}, 'client': {'type': 'string'}, 'status': {'type': 'string', 'default': 'open'}}, 'additionalProperties': False}
Ausgabeschema
{'type': 'object', 'required': ['tasks'], 'properties': {'tasks': {'type': 'array', 'items': {'type': 'object', 'required': ['id', 'title', 'client', 'status', 'dueAt', 'url'], 'properties': {'id': {'type': 'string'}, 'url': {'type': 'string'}, 'dueAt': {'type': ['string', 'null']}, 'title': {'type': 'string'}, 'client': {'type': ['string', 'null']}, 'status': {'type': ['string', 'null']}}}}}}
Verlauf
Letzte Tool-Änderungen
Geändert
remember
1. October 2026 02:42
Hinzugefügt
context_packs
29. September 2026 02:50
Hinzugefügt
resume
29. September 2026 02:50
Hinzugefügt
save_context
29. September 2026 02:50
Hinzugefügt
connect
23. September 2026 02:40
Hinzugefügt
signup
23. September 2026 02:40
Hinzugefügt
tasks
23. September 2026 02:40
Hinzugefügt
memory
23. September 2026 02:40
Hinzugefügt
remember
23. September 2026 02:40
Hinzugefügt
recall
23. September 2026 02:40
Hinzugefügt
fetch
23. September 2026 02:40
Hinzugefügt
search
23. September 2026 02:40
Entdecken
Ähnliche MCP-Server
Stable Baseline
io.stablebaseline/sb
Manages company documents, knowledge graphs, whiteboards, projects, plans, tasks, teams, and improvement workflows.
Dayze — Life Context
com.dayze/life-context
Provides authenticated personal life-context data and tools for contacts, memories, events, expenses, trips, assets, places, and …
YouSpot
com.youspot/youspot
Connects personal contacts, companies, notes, files, CRM records, email, Slack, LinkedIn, and calendars, with search, relationshi…
mcp
io.nestr/mcp
Manages Nestr workspaces, roles, circles, tensions, governance proposals, comments, daily plans, graph relationships, agents, and…
personalbrain-mcp
io.github.lonniev/personalbrain-mcp
Provides read and write access to a personal knowledge graph, including thoughts, notes, links, attachments, queries, and change …
Kaiku
tech.kaiku/kaiku
Manages team issues, comments, attachments, projects, wiki pages, and related development workflows.
Dock
ai.trydock/dock
Provides collaborative workspaces with tables, documents, HTML surfaces, files, formulas, comments, activity tracking, agent mess…
ContextLayer
io.github.DotNova/context-layer
Stores and retrieves organizational documents and knowledge-graph context while managing projects, tasks, teams and work sessions.