Address PR feedback from CodeRabbit AI:
- Add detailed docstring for search_task internal function
- Document top_k parameter in main search function docstring
- Fix default top_k inconsistency (was 10 in client, now 5 everywhere)
- Clarify performance implications of different top_k values
Changes:
- server.py: Add top_k parameter documentation and search_task docstring
- cognee_client.py: Change default top_k from 10 to 5 for consistency
This ensures consistent behavior across the MCP call chain and
provides clear guidance for users on choosing appropriate top_k values.
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Adds cursor developer rules demo and functionality to mcp server
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Added tools to check current cognify and codify status
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Add both sse and stdio support for Cognee MCP
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## Description
Resolve issue with .venv being broken when using docker compose with
Cognee
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Add CHUNKS search handling and better unknown search type return value
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Resolve failing test for RAG_COMPLETION, add RAG_COMPLETION to MCP
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## Description
- Fix Ollama endpoint issue
- Fix COMPLETION and GRAPH COMPLETION MCP use
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