"Mix" matching MCP servers:

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.

Enables Claude Code to interact with Jupyter notebooks, perform semantic search over knowledge files, and manage research projects.

A workspace of six MCP servers—grounded-cv (hybrid RAG with citations), repo-intel (GitHub repo intelligence), web-research (safe web search/extraction), ats-jobs (unified ATS job boards), outcome-ledger (durable task ledger), and coding-workflows (code review & planning)—purpose-built for agentic hiring evaluations.

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.

Enables exposing third-party data sources as Model Context Protocol servers with shared HTTP, rate limits, retries, caching, validation, and observability through thin per-source adapters.

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.

Enables AI coding agents to search, read, create, update, and delete notes in a local Obsidian vault through hybrid semantic and lexical retrieval, with all embedding and vector storage running locally.

A Model Context Protocol server that enables coding agents to search for and record software issue fixes with semantic search using natural language queries.