"A remote MCP server with meaningful contributions and no spam" matching MCP servers:

Enables users to resolve library identifiers and retrieve Context7-compatible documentation through tools that forward requests to the hosted Context7 remote MCP endpoint.

Implements the Model Context Protocol (MCP) over HTTP to provide remote access to BluestoneApps coding standards and React Native code examples.

Enables querying documents through a Langflow backend using natural language questions, providing an interface to interact with Langflow document Q\&A flows.

A Python-based MCP server that enables document-based question answering by processing PDF, TXT, and Markdown files through OpenAI's API. It provides hallucination-free responses based strictly on document content using semantic search and includes a web interface for management.

Enables document-based question answering using OpenAI's GPT-4 with semantic search and embeddings. Upload PDF, TXT, or Markdown files and get answers strictly based on document content with source attribution and confidence scores.

Dynamically exposes skill files from remote HTTP services as MCP tools, resources, and prompts, enabling clients to lazily load and read remote skill documentation via stdio.

A zero-database MCP knowledgebase template for Vercel that exposes static Markdown content to AI agents through clean MCP surfaces.

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 AI assistants to search and retrieve documentation, component specs, theme guides, and CLI commands for the Meta Astryx Design System, providing structured tools and guidelines for coding agents.

Provides accessibility acceptance criteria for 51 web and 42 native components from the MagentaA11y project. Enables searching, retrieving component specs, and generating accessibility documentation in multiple formats including Gherkin syntax and developer notes.

Enables interactive AI chat through the Anthropic API, with document retrieval, slash commands, and extensible MCP tool integrations.

Provides access to developer roadmap content from roadmap.sh, allowing users to list available roadmaps and fetch detailed Markdown content for specific career paths.

Provides AI assistants with access to OpenAPI specifications, enabling API discovery, schema retrieval, and direct API execution with support for OAuth 2.0 and other authentication methods.

MCP server that enables AI assistants to drive systematic literature review workflows, including screening, downloading, converting, and reviewing papers through natural language conversation.

An HTTP MCP server that indexes large documents into exact-line-numbered sections, enabling AI models to locate, read, summarize, and edit parts of a document without ingesting the whole file.

Enables AI assistants to interact with OpenAPI documents for analysis, validation, and management through structured interfaces.

MCP server that enables introspection of any MCP server's registered tools by exposing mcpreg/list, mcpreg/get, and mcpreg/query tools, making tool registry accessible even when the underlying SDK lacks list_tools().

An MCP (Model Context Protocol) server that turns the book Deep Learning with Python (François Chollet) into a searchable knowledge base, so Claude can act as a deep-learning/ML expert grounded in the book's content.

A read-only MCP server for browsing public files from the 3GPP FTP service, providing search and fetch tools to explore directories and download files.

A collection of MCP servers for Slack, Jira, Confluence, and release coordination to automate QA workflows and daily release status reporting.

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.

Convert PDF, DOCX, HTML, and URLs into clean, LLM-ready markdown with tables preserved and boilerplate stripped, through three MCP tools (URL, local file, or raw bytes). Hosted API with no local dependencies; 50 free conversions with a self-serve key, then $0.002 per call.

Explains known developer errors offline and deterministically (CORS, ESM/CommonJS, npm ERESOLVE, Next.js builds, Postgres connection and DATABASE_URL errors). One tool, explain_error; no LLM, no network.

Provides AI assistants with instant access to Mapbox documentation and reference materials through tools and resources, with no Mapbox access token required.

Version-accurate library docs for coding agents, with a supply-chain check of every dependency they add: known advisories, malware records, lookalike names and versions that do not exist. Runs locally over stdio with npx -y pinright; no account or API key.

Enables natural-language search, page reading, deployment configuration, and build-log diagnosis over Liara cloud documentation, with a bundled corpus and no database or API key required.

Gives an AI agent a database's tables, columns, value lists, null shares and joins from a dbprint snapshot committed to your repo, with no database connection or credentials. Tools list and search tables and columns, render prompt-ready context for a table, resolve a filter value to its stored spelling, and report what changed since the last snapshot.

Converts documents to clean Markdown for AI agents from a URL or base64 — no API key, built for remote hosting. Supports PDF (tables preserved as Markdown/CSV/JSON), DOCX, PPTX, XLSX, EPUB, HTML and CSV; scanned PDFs and images go through offline OCR. Includes full-text search, page-range reading, metadata inspection, PDF split/merge and image export, with SSRF-protected fetching, 30 MB limits and

Enables AI coding agents to list, search, and read the official TypeSafe Jev documentation through MCP tools, with in-memory caching and no API key required.

MCP server for the StitchAPI docs: search_docs (hybrid BM25+vector) + get_doc. Local/offline npm package (@stitchapi/docs-mcp, docs bundled, no per-query network) and a hosted Streamable-HTTP server (stitchapi.dev/api/mcp).