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

  • mcp-logseq

    Johnsonxd4
    A
    license
    C
    quality
    C
    maintenance
    Python stdio MCP server that interfaces with the Logseq local HTTP API, enabling tools to manage pages, blocks, queries, and graph configurations in Logseq.
    64
    2
    MIT

  • deepseek-as-subagent

    PsChina
    A
    license
    A
    quality
    D
    maintenance
    Run DeepSeek as a real sub-agent inside Claude Code / Codex CLI — not just a single LLM call. DeepSeek gets its own 7-tool agent loop (Read/Write/Edit/Bash/Glob/Grep/NotebookEdit) inside a sandboxed workspace.
    2
    23
    MIT

  • mcp-pkm-logseq

    ruliana
    A
    license
    A
    quality
    C
    maintenance
    Enables interaction with your Logseq personal knowledge management system via MCP, allowing retrieval of tagged notes and todo lists through Logseq's HTTP API.
    3
    9
    MIT

  • rules-as-code-mcp

    adamselzer
    F
    license
    A
    quality
    B
    maintenance
    Deterministic SNAP eligibility logic, exposed as auditable Model Context Protocol tools. An AI agent can read, reason, and orchestrate, but the eligibility determination itself is made by versioned, tested, cited code that a caseworker, an auditor, or a court can inspect.
    5

  • codex-as-mcp

    kky42
    F
    license
    A
    quality
    A
    maintenance
    Delegates work from MCP clients (like Claude Code) to the Codex CLI, allowing spawning of autonomous Codex subagents for tasks.
    2
    169

  • Context Mode

    mksglu
    A
    license
    A
    quality
    A
    maintenance
    An MCP server that preserves LLM context by intercepting large data outputs and returning only concise summaries or relevant sections. It enables efficient sandboxed code execution, file processing, and documentation indexing across multiple programming languages and authenticated CLIs.
    11
    19,534
    19,824
    Elastic 2.0

  • 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

  • mrc-data

    meacheal-ai
    A
    license
    A
    quality
    D
    maintenance
    The only MCP server providing structured Chinese fashion supply chain intelligence for AI platforms. No equivalent data source exists in the MCP ecosystem. Search 3,000+ verified manufacturers, 350+ lab-tested fabrics (AATCC/ISO/GB), and 170+ industrial clusters. Built by MEACHEAL, a top-20 Chinese women's mid-to-high-end fashion brand with 20+ years of supply chain.
    19
    6
    2
    Inno Setup

  • 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

  • eph-context

    matias-denatale
    F
    license
    A
    quality
    C
    maintenance
    Provides official INDEC register designs and methodological rules to AI models, enabling accurate EPH data analysis code (R/Python) without hallucinations.
    6
    1

  • 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

  • personal-context

    amr05008
    F
    license
    A
    quality
    B
    maintenance
    Enables LLMs to access a user's personal writing context—voice, style, opinions, expertise, projects, and communication patterns—via curated markdown files, helping the LLM match the user's voice when generating written content.
    2
    3

  • Context-first

    XJTLUmedia
    A
    license
    A
    quality
    D
    maintenance
    Long AI conversations fail in predictable ways. Context-First fixes all four: Failure Mode What Goes Wrong Context-First Solution Context Drift AI forgets earlier decisions and intent as the conversation grows context_loop + detect_drift continuously re-anchor every turn Silent Contradiction New inputs silently overrule established facts — the AI doesn't notice detect_conflicts compares every inp
    8
    1
    MIT

  • Context-MCP

    vshavlidze
    A
    license
    A
    quality
    D
    maintenance
    Intelligent context manager for AI coding assistants that uses a three-level memory system (core, active, archive) to remember project context across conversations.
    9
    MIT

  • open-context

    incu6us
    A
    license
    A
    quality
    C
    maintenance
    A high-performance MCP server providing up-to-date documentation for Go, npm, Python, Rust, Docker, Kubernetes, Terraform, and more — fetched from official sources, not training data.
    18
    3
    MIT