MCP servers that ship as code — a repository or a package you install and run locally (usually over stdio). They have no hosted endpoint, so we cannot probe or grade them: instead each one shows its repository, install command, license, stars and when it was last updated.
Collected from GitHub repositories and npm, PyPI, Cargo, Go, Maven, NuGet and RubyGems packages tagged as MCP servers, the official MCP Registry, Docker's MCP catalog, ModelScope, Baidu MCP World, Cline and other public directories; one entry per repository. A server that also offers a hosted endpoint is listed under Remote instead. These entries are not counted in our reachability, verification or readiness statistics.
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@agenson-horrowitz/document-parser-mcpgithub.com/agenson-tools/document-parser-mcpupdated this year
Multi-format document parser MCP server - extract text, tables, and metadata from PDFs, images, HTML, and office documents for AI agents
npm MIT -
GroupDocs.Parser for .NET MCP server — extract text, tables, images, barcodes, and metadata from PDF, Word, Excel, PowerPoint, and image documents via AI agents.
MIT -
acikpozgithub.com/gulmezeren2-byte/acikpozupdated this year
Turkish public construction unit-price (birim fiyat) catalog parser — PDFs into structured pozes. Deterministic, no ML, honest, MCP-native.
MIT ★ 1 -
Self-hosted web scraper, crawler and document parser for AI agents: URLs, PDFs with OCR and Office files to clean Markdown/JSON. Firecrawl- and Jina-compatible API, MCP server, agent endpoint, Python/Node SDKs. Single Rust binary.
npm Apache-2.0 ★ 274 -
Resilient streaming PDF table extraction, high-res page rasterization, AcroForm flattening, and OCR bbox dewarp repair.
MIT -
Universal MCP server for extracting text from various document formats and converts to .md file
MIT ★ 3 -
doc-indexer-mcpgithub.com/eztakesin/doc-indexer-mcpupdated this year
Local document indexer MCP server for semantic search over PDF, Excel, SQL, Markdown, and HTML files using Qdrant and Voyage AI embeddings.
MIT ★ 2 -
Fast, deterministic document parser and chunker for RAG and agent pipelines. Ships an MCP server for agents navigating long documents with precision.
AGPL-3.0 ★ 36 -
Extract tables from PDFs into CSV. Free local CLI and MCP server. No API key.
MIT -
A PDF reader, CLI and MCP server that run on your computer: tables, charts, headings and scans to Markdown, HTML or JSON.
npm Apache-2.0 -
superPDF AI on your computer: PDF tools for Terminal, scripts and AI agents (command-line tool, MCP server and local API)
npm Apache-2.0 -
Chomper - Chomp through any document. MCP server for parsing 36+ file formats with semantic chunking & TOON token optimization for Claude and AI systems.
MIT ★ 1 -
A lightweight Model Context Protocol (MCP) server that converts PDF files to text for seamless integration with Cursor IDE and other MCP-compatible applications. Built with TypeScript for reliability and performance.
MIT -
Universal Document Knowledge Graph MCP Server for AI Agents
MIT -
Local-first personal finance engine for statement parsing, safe agent workflows, and monthly PDF summaries.
MIT ★ 2 -
A Java-based server leveraging Apache Tika to extract content and metadata from files (PDF, DOCX, TXT, etc.) in a local files-to-extract directory. Supports HTML (with CSS styling) and text extraction, file listing, and metadata retrieval via MCP-compliant tools and REST APIs. Built with Spring Boot, Jetty, and MCP SDK.
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한국 문서를 읽고·고치고·새로 쓰는 AI 문서 도구 — HWP·HWPX·PDF·오피스·스캔(OCR)을 Markdown으로, 신구대조·서식 보존 편집·Markdown→HWPX 작성·HWP→HWPX 변환·양식 채우기·공문서 검수까지. 라이브러리·CLI·MCP | Read, diff, edit, write and convert Korean documents (HWP, HWPX, PDF, Office, scans) — library, CLI and MCP server
npm MIT ★ 2,994 -
MCP server (HTTP/SSE) that turns PDFs into structured Markdown with MinerU — tables, LaTeX, reading order. Python + FastMCP. Self-hosted, MIT.
MIT ★ 1 -
mcp-parsekitgithub.com/cosmic-api/mcp-parsekitupdated this year
MCP server for ParseKit — document intelligence API for AI agents. Submit any PDF, image, or spreadsheet and get back clean, structured JSON.
npm MIT -
antiquarIOgithub.com/JCarrascoF/antiquarIOupdated this year
A privacy first (local) document parsing tool and MCP server — convert PDFs and images to structured Markdown using multiple selectable OCR engines. Includes Streamlit GUI and hierarchical chunking for RAG workflows.
MIT -
Ts RAG system. ingest documents, creates embeddings, stores in pgvector and query through cli or mcp server. fully local with node-llama-cpp
★ 1 -
High-performance, pure Rust multi-format eBook engine (EPUB2/3, MOBI, AZW3, KFX, FB2, LIT,MD,TXT,PDF, CBZ) with native Model Context Protocol (MCP) server, Okapi BM25 AI/RAG chunking, Readium CFI locators, zero-copy search, Python wheels & WASM.
pypi MIT ★ 15 -
ParseRail is an MCP server that gives Claude, Cursor, and any MCP client native tools to parse documents, extract fields, redact PII, analyze contracts, fight chargebacks, and enrich companies.
npm MIT -
Free self-hosted OCR & document data extraction API. Turn PDFs, scans, invoices, receipts & bank statements into JSON, CSV or Excel. No API keys, no cloud. Web UI, CLI, folder autopilot, MCP server.
MIT ★ 2 -
study-Tools-mcp-servergithub.com/francis-rf/study-Tools-mcp-serverupdated this year
AI-powered study assistant built with Model Context Protocol (MCP) - Generate quizzes, flashcards, summaries, and concept explanations from your study materials. Integrates with Claude Desktop and provides a FastAPI web interface.
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Convert documentation websites, GitHub repositories, and PDFs into Claude AI skills with automatic conflict detection
MIT ★ 15,309 -
Ingesting the messy world, spitting out clean context. Fast, zero-runtime CLI & MCP server converting PDFs, Office docs, images, audio, and websites into clean Markdown for LLMs.
npm MIT ★ 1 -
Convert PDF, Word, Excel, PowerPoint and HTML to Markdown for LLMs and RAG. Rust CLI, Python API and MCP server, with published compatibility tests and benchmarks.
MIT ★ 4 -
GroupDocs.Total for .NET MCP server — single endpoint exposing the combined toolset of all GroupDocs Product - Conversion, Viewer, Markdown, Parser, Comparison, Watermark, Merger, Metadata, Editor, Redaction, Assembly, Search, Signature and Annotation via AI agents.
MIT