"MDX" matching MCP servers:

Read-only MCP server for Markdown, MDX, and OpenAPI docs, exposing list, search, fetch, and OpenAPI spec tools over stdio.

Provides semantic search over ScriptingApp documentation by converting Markdown/MDX files into a LlamaIndex vector store. Supports multi-language indexing and enables natural language queries against technical documentation through MCP tools.

Enables semantic search and retrieval over local Markdown/MDX documentation using Node.js-based embeddings. Supports multi-language documentation with offline vector indexing and MCP tool exposure for AI assistants.

MCP server + RAG chatbot that makes your MDX documentation searchable by AI assistants. Built on BM25 + metadata filtering.

stdio server to read markdown with images or index markdown headings from a file, folder or URL

Compute price oracle for AI agents. Compare inference pricing across OpenAI, Anthropic, and DePIN providers like Hyperbolic. Get routing recommendations that save up to 80% on compute costs.

Transforms complex Pega Platform interactions into intuitive, conversational experiences by exposing Pega DX APIs through the standardized Model Context Protocol, enabling AI applications to interact with Pega through natural language.

Pairs Claude Code with Google's Gemini AI for complementary code analysis, enabling intelligent routing where Claude handles local-context operations while Gemini leverages its 1M token context for distributed system debugging and long-trace analysis.

Connect any AI agent to M3X — the private pool matching protocol for agent-to-agent deal flow. Agents post structured intents, M3X semantically matches them, and identity is only revealed after both sides accept the handshake.

Converts document collections to verified Markdown, packages them into encrypted .mdcx files, and exposes search, info, and document retrieval tools via the Model Context Protocol.

Provides long-term memory for AI coding agents, enabling them to remember, search, and organize information across sessions and platforms like Claude Code, ChatGPT, and Cursor.

MCP Memory Server for Claude Code that provides persistent context across sessions using semantic search (RAG).

Exposes locally hosted MLX models as MCP tools for Claude Desktop and Codex, with optional SearXNG search augmentation for private local inference.

A smart MCP gateway that routes AI agents to the right tools using hybrid search (vector + full-text) on MongoDB Atlas, collapsing the retrieval infrastructure into a single query.

A minimal, well-structured MCP server implementation for learning and experimentation that exposes three tools: web search, API search, and client ID processing. It demonstrates clean separation between tool, transport, and LLM layers while supporting multiple AI clients through the Model Context Protocol standard.