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    Self-hosted Go MCP server that crawls documentation sites into local Markdown/JSONL corpora and lets agents read pages, run crawls, check freshness, and diff changes with zero network access at read time. Single static binary, no CGO, Apache-2.0.
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    104
    Apache 2.0
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    Provides access to the GDELT DOC 2.0 API for searching global news articles and images across 65 languages with customizable timespans and query options.
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    12 npm
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    MIT
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    Enables local-first document versioning with content-addressable storage, word-level AST diffs, and AI-compliance auditing for LLM agents.
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    MIT
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    MCP server for searching and retrieving full-text pages from the Library of Congress, including newspapers, books, and manuscripts, via the loc.gov API.
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    Apache 2.0
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    Legal document redlining engine that applies AI-generated JSON changes as professional tracked changes with comments in .docx files, producing Word-indistinguishable output.
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    MIT
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    Provides comprehensive Pine Script v6 documentation and tools to help AI assistants look up functions, validate syntax, and generate accurate code. It enables linting, version conversion from v5 to v6, and deep conceptual analysis to prevent code hallucinations.
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    35 PyPI
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    MIT
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    Serves multiple MCP servers from a single PyPI package using subcommands for server selection and optional extras for on-demand dependencies. Demonstrates alpha and beta server variants with different tool sets.
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    Apache 2.0
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    Enables searching and retrieving documentation content from SaaSus Platform through MCP-compatible clients like Claude Desktop and Cursor. Provides tools to search for relevant articles, get full content from specific URLs, and access the complete sitemap of SaaSus documentation.
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    MCP server providing access to n8n documentation and workflow templates, enabling LLM agents to search, read, and retrieve workflow examples for automated workflow creation.
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    It enables AI engineers to retrieve real-time official documentation for 45+ libraries, search across frameworks, and extract code examples directly inside MCP-compatible assistants, eliminating stale training data and outdated API usage.
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    MIT
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    Enables local-first natural language querying of JMP 19.1 documentation, returning menu paths, step-by-step instructions, citations, and relevant figures. Runs fully offline via Ollama and exposes tools for searching, browsing, fetching pages, and locating examples.
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    MIT
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    Searches local markdown files using TF-IDF retrieval and serves full documents as resources.
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