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"Using Logseq data as context for chat applications" matching MCP servers:

  • @git-fabric/chat by git-fabric

    @git-fabric/chatofficial

    git-fabric
    F
    license
    A
    quality
    -
    maintenance
    An AI conversation management layer that enables creating chat sessions, persisting message history to GitHub, and performing semantic searches over past interactions. It supports multi-turn threading and context injection to integrate external memory sources into Claude conversations.
    12

  • GitHub Chat MCP

    AsyncFuncAI
    A
    license
    A
    quality
    D
    maintenance
    An MCP server that enables analyzing and querying GitHub repositories through the GitHub Chat API, allowing users to index repositories and ask questions about their code, architecture and tech stack.
    2
    86
    MIT

  • mem-context

    turbyho
    A
    license
    A
    quality
    A
    maintenance
    Multi-modal RAG engine for AI assistants. Stores conversation history, conclusions, diffs, error traces, and other development artifacts in LanceDB with vector search, multi-factor scoring, and an LLM-driven consolidation pipeline.
    10
    MIT

  • Context Mode

    Everflow-Utilities
    A
    license
    A
    quality
    B
    maintenance
    Context Mode is an MCP server that reduces context window waste by sandboxing data-heavy tools, tracking session state in SQLite, and promoting code-based analysis over raw data reads, achieving up to 98% context savings.
    11
    19,534
    Elastic 2.0

  • code-context

    nachogeinfor-ops
    A
    license
    A
    quality
    A
    maintenance
    An MCP server that provides dynamic codebase context to Claude Code through tools like hybrid search, recent changes, and symbol definitions, enhancing AI-assisted coding with local RAG.
    8
    MIT

  • pdf-context

    mematcha
    A
    license
    A
    quality
    B
    maintenance
    A local-first MCP server that ingests PDFs, extracts structure, and provides semantic search and sequential navigation tools for AI clients to query and learn from documents.
    10
    MIT

  • context-awesome

    bh-rat
    A
    license
    A
    quality
    B
    maintenance
    Give your AI agents access to 8,500+ community curated awesome lists with over 1 million curated resources.
    2
    65
    57
    MIT

  • Massive Context MCP

    egoughnour
    A
    license
    A
    quality
    C
    maintenance
    An MCP server that enables processing of massive datasets up to 10M+ tokens using a recursive language model pattern for strategic chunking and analysis. It automates sub-queries and result aggregation using free local inference via Ollama or the Claude API to handle context beyond standard prompt limits.
    17
    1
    MIT

  • Context MCP

    Raunak-dev-18
    A
    license
    A
    quality
    D
    maintenance
    Provides persistent context management for AI agents by storing and querying semantic information using Upstash Vector DB and Google AI embeddings. It enables semantic search, batch operations, and metadata filtering to help agents retrieve relevant stored knowledge.
    6
    3
    MIT

  • Context Forge

    Radics
    A
    license
    A
    quality
    B
    maintenance
    Context Forge is a vendor-neutral continuity layer for AI tools. It stores project context in Markdown and JSON, retrieves task-scoped context, and leaves structured handoffs so another model can continue without being taught the project again.
    7
    Apache 2.0

  • Context Bridge

    Codinglone
    A
    license
    -
    quality
    C
    maintenance
    A unified context layer that connects your local data — repositories, documents, remote machines, and notes — to LLM interfaces through the Model Context Protocol (MCP).
    3
    MIT

  • Context Engine

    melonelish
    A
    license
    -
    quality
    A
    maintenance
    A task-aware context compression layer for Agent workflows, RAG pipelines, and AI Coding assistants, reducing noisy logs, retrieval chunks, and code context into high-signal LLM inputs via CLI, Python SDK, and MCP.
    363
    MIT

  • mysql-context-mcp

    velinussage
    A
    license
    -
    quality
    C
    maintenance
    Enables agents to pull compact MySQL row diffs into their context, supporting before/after changes via triggers or watermark-based updates, with tools to fetch and acknowledge changes.
    MIT