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    Rust-powered PDF toolkit over MCP: create, read, and analyze PDFs; extract text and entities for RAG; convert to Markdown; split/merge/rotate/reorder pages; manage form fields and annotations; encrypt documents. Runs locally via uvx oxidize-mcp.
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    962 PyPI
    6
    MIT
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    C++26 paper reference MCP with lookup_paper, fuzzy search, and compiler_status tools over a 216-paper ISO/IEC 14882:2026 corpus. Backs a Claude Code plugin that biases the model toward final-form C++26 idioms (reflection, contracts, std::execution senders, expansion statements, #embed).
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    MIT
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    A Model Context Protocol server for querying and reading articles from a how-to documentation portal, with search and retrieval tools scoped to the token's user permissions.
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    7 npm
    Apache 2.0
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    MCP server that exposes tools to route natural language queries to typed IDs, describe catalog entries, and list repository verification commands for the m-dev-tools organization.
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    AGPL 3.0
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    Enables AI agents to search and browse a curated catalog of 330+ third-party APIs and MCP servers using tools like search_apis, get_api, get_reviews, and list_categories, with no API key required.
    4
    102 npm
    32
    MIT
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    Enables PDF processing and analysis including text extraction, metadata retrieval, search, page manipulation, splitting/merging, conversion to images, and form handling.
    10
    MIT
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    Enables MCP clients to read local PDFs as markdown, plain text, tables, or positioned blocks; inspect metadata; search documents; list and fill form fields into new files; and identify pages needing vision, while keeping documents on-machine and limiting access to allowed directories.
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    24 PyPI
    AGPL 3.0
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    Serves citable mechanical-engineering reference data — ISO 286 limits and fits, ISO 2768 general tolerances, typical material properties, and published process feasibility limits — as queryable tools for an MCP host. It reports only what the standards specify, refusing out-of-scope or unverifiable values with a stated reason instead of approximating.
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    MIT
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    Enables AI agents to discover and read Typeship API documentation and execute API operations through schema-validated MCP tools, with optional read-only mode and configurable result limits.
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    125 npm
    MIT
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    An MCP server that provides indexed, searchable access to Anthropic Claude and Google Gemini documentation, with full-text search, page fetching, and section listing capabilities.
    4
    MIT
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    A smart documentation system that helps AI assistants understand and follow your project's conventions by automatically discovering, routing, and managing AI_README.md guide files.
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    14 npm
    3
    MIT
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    Enables AI assistants to check whether a quote from the EU AI Act matches the right version on a given date, compare provisions across the 2024 and 2026 texts, and emit evidence records that anyone can recompute in a browser against signed corpus releases.
    6
    1
    Apache 2.0
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    Provides a compressed knowledge graph of the NVIDIA AI developer stack for deterministic traversal, enabling agents to answer questions about dependencies and prerequisites with minimal tokens.
    8
    MIT
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    Provides AI assistants with specialized tools to interact with NIST's Open Security Controls Assessment Language (OSCAL) framework. It enables agents to retrieve schemas, explore models, and generate valid OSCAL documentation for security compliance automation.
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    52
    Apache 2.0