tools-and-strategies-for-managing-company-knowledge MCP servers

"tools-and-strategies-for-managing-company-knowledge" matching MCP servers:

• Think Strategies

  aaronsb

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  security

  F

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  quality

  Provides 10 structured reasoning strategies (Chain of Thought, ReAct, Tree of Thoughts, etc.) for complex problem-solving with session persistence, branching, and tool integration capabilities.

  Last updated 6 months ago

  3

  34

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• Oblique Strategies MCP Server

  lmorchard

  -

  security

  F

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  quality

  Provides access to Brian Eno and Peter Schmidt's Oblique Strategies card deck to help users overcome creative blocks through lateral thinking. It enables searching and retrieving random prompts from various editions, including collections adapted specifically for programmers.

  Last updated 7 months ago

  1

• Company MCP Server

  keythpiece

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  security

  A

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  Enables AI to interact with internal company systems through API integration, supporting data search, information updates, report generation, and system connectivity.

  Last updated 4 months ago

  MIT

• Company MCP Server - Google

  Michibiku

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  security

  A

  license

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  quality

  Enables Claude to interact with Google Workspace services including Gmail, Drive, Sheets, Docs, and Calendar. Provides comprehensive tools for reading, creating, and managing emails, files, spreadsheets, documents, and calendar events with built-in safety controls and audit logging.

  Last updated 2 months ago

  MIT

• knowledge-mcp

  olafgeibig

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  security

  A

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  An MCP server that enables AI agents to query specialized, domain-specific knowledge bases built using the LightRAG framework for enhanced retrieval-augmented generation. It allows for managing and searching knowledge graphs and vector embeddings to provide accurate, context-aware information during an AI assistant's reasoning process.

  Last updated 17 days ago

  38

  MIT

• Elasticsearch Knowledge Graph

  j3k0

  A

  security

  F

  license

  A

  quality

  Provides a scalable knowledge graph implementation for Model Context Protocol using Elasticsearch, enabling AI models to store and query information with advanced search capabilities, memory-like behavior, and multi-zone architecture.

  Last updated 4 months ago

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