"Server compatibility with ChatGPT or DeepSeek" matching MCP servers:

MCP server for comprehensive PDF processing including text extraction with OCR, keyword search with regex, table extraction, and page preview as Base64 PNG images.

A read-only MCP server that converts documents and URLs to Markdown, augmenting ChatGPT's file handling with semantic extraction for formats like PDF, DOCX, and PPTX.

Enables users to read, create, and edit Feishu Docx/Wiki pages and browse knowledge spaces through user-authorized Feishu credentials.

Exposes canonical knowledge about DeepSeek FR (models, pricing, FAQ, official links) to MCP-compatible AI clients, enabling querying of site information without API keys.

Provides evidence-grounded paper reading, citation verification, and reproducible experiment planning through DeepSeek Harness via a deterministic Python stdio server.

Enables hybrid search (BM25 + semantic with RRF) over documentation, with Thai language support. It exposes MCP tools for adding documents and searching via Qdrant and Ollama/OpenAI, using a stateless Streamable HTTP transport.

Enables Claude to read and analyze PDF documents with automatic OCR processing for scanned files. Features intelligent text extraction, caching for performance, and secure file access with search capabilities.

Enables AI agents to access a markdown wiki or knowledge base through per-topic tools that expose available domains and retrieve tables of contents, matching lines, or full pages on demand.

A Model Context Protocol server that enables Large Language Models to search and access IETF RFC documents with pagination support.

An MCP server that enables users to fetch Python documentation using the Brave Search API through natural language queries.

Enables AI agents to search cited home water treatment pages, retrieve quotable quick answers with verified dates and sources, diagnose water problems from symptoms or lab results, find replacement parts and product picks, and run water hardness and softener sizing calculators. Every response includes the URL to cite and the date its facts were verified.

A Model Context Protocol server that provides EigenLayer documentation to AI assistants like Claude, enabling natural language interaction with EigenLayer concepts and functionality.

This MCP server provides access to resources and prompts from GitHub repositories or the local filesystem, enabling teams to share coding standards, documentation, and reusable prompts with AI tools like Claude.

Enables CSS analysis with 150+ metrics, MDN documentation retrieval, and browser compatibility checks for CSS properties.

Converts documents, webpages, and media files into markdown for AI assistants using Microsoft's MarkItDown and Crawl4AI. It enables tools to read PDFs, Office files, and JavaScript-rendered websites with support for OCR and image extraction.

Enables AI tools to search and explore API documentation from Apidog projects or OpenAPI/Swagger specifications, providing endpoint details, schemas, and project statistics through natural language queries.

The Metaplex MCP Server facilitates access to Metaplex documentation and repository details, enabling users to search and interact with various Metaplex resources through the MCP protocol.

An MCP server implementation that provides tools for retrieving and processing documentation through vector search, enabling AI assistants to augment their responses with relevant documentation context. Uses Ollama or OpenAI to generate embeddings. Docker files included

Enables interaction with the NEI platform to query project resources such as interfaces and business groups. It provides tools for searching by URI or name and supports manual synchronization to ensure local data is up to date.

A secure Model Context Protocol server that enables Claude AI to list, search, and read local documents in formats such as PDF, DOCX, and XLSX. It features read-only access with path traversal protection and supports deployment via Docker with SSE or STDIO transport options.