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I affirm that all code in every commit of this pull request conforms to the terms of the Topoteretes Developer Certificate of Origin.

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Please make sure all the checkboxes are checked:

  • I have tested these changes locally.
  • I have reviewed the code changes.
  • I have added end-to-end and unit tests (if applicable).
  • I have updated the documentation and README.md file (if necessary).
  • I have removed unnecessary code and debug statements.
  • PR title is clear and follows the convention.
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coderabbitai bot commented May 27, 2025

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Review failed

The pull request is closed.

Walkthrough

This update adds several asynchronous tools to manage user context and memory in the Cognee MCP server, including retrieving user profiles, saving and retrieving memories, and placeholder methods for updating and removing memories. The search and other existing tools are refactored for improved output and type consistency. A new user profile ontology OWL file is introduced.

Changes

File(s) Change Summary
cognee-mcp/src/server.py Added async MCP tools for user context and memory management (getUserContext, saveMemory, updateMemory, removeMemory, retrieveMemories). Refactored search, cognify, codify, and related tools for improved signatures, outputs, and logging. Enhanced utility functions and added docstrings.
examples/python/ontology_input_example/profile_ontology.owl Added a new OWL ontology file defining user profile entity types, entities, and relationships to support semantic search and user modeling in Cognee.

Sequence Diagram(s)

sequenceDiagram
    participant User
    participant MCP_Server
    participant KnowledgeGraph

    User->>MCP_Server: getUserContext(user_query)
    MCP_Server->>KnowledgeGraph: Query user profile
    KnowledgeGraph-->>MCP_Server: Return profile data
    MCP_Server-->>User: Return formatted profile summary

    User->>MCP_Server: saveMemory(content, type, importance)
    MCP_Server->>KnowledgeGraph: Save memory as background task
    MCP_Server-->>User: Confirm memory save (async)

    User->>MCP_Server: retrieveMemories(query, type, importance)
    MCP_Server->>KnowledgeGraph: Query memories
    KnowledgeGraph-->>MCP_Server: Return memory results
    MCP_Server-->>User: Return formatted memories
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Possibly related PRs

  • Add mcp to cognee #370: Adds the initial MCP server setup and basic tool handling in server.py, which this PR directly extends with advanced user context and memory management features.

Suggested labels

run-checks

Suggested reviewers

  • borisarzentar

Poem

In Cognee’s warren, new tools appear,
To fetch your memories, far and near.
User profiles, smart and bright,
Hopping through the graph at night.
Ontologies bloom, connections grow—
This rabbit’s code is set to flow! 🐇✨


📜 Recent review details

Configuration used: CodeRabbit UI
Review profile: CHILL
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📥 Commits

Reviewing files that changed from the base of the PR and between 822cc55 and 335354e.

⛔ Files ignored due to path filters (2)
  • cognee-mcp/uv.lock is excluded by !**/*.lock, !**/*.lock
  • uv.lock is excluded by !**/*.lock, !**/*.lock
📒 Files selected for processing (2)
  • cognee-mcp/src/server.py (7 hunks)
  • examples/python/ontology_input_example/profile_ontology.owl (1 hunks)
✨ Finishing Touches
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@TYRONEMICHAEL TYRONEMICHAEL deleted the add-profile-mcp-server branch May 27, 2025 01:38
@TYRONEMICHAEL TYRONEMICHAEL restored the add-profile-mcp-server branch May 27, 2025 01:38
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