MCP Servers for agents
by Serendipity-AI
Agents speak Markdown. Humans prefer PDF. We bridge the gap for the final stage of your agentic workflow. No sign-ups, no credit cards, just sats for bytes.
by coingecko
Official CoinGecko API MCP Server for Crypto Price & Market Data, across 200+ blokchain networks and 8M+ tokens.
by fulcradynamics
Access your personal health data, sleep stats, location, calendar, and more securely through Context by Fulcra!
by alpacahq
Alpaca MCP Servers deliver Alpaca’s Trading API best practices straight into your development and trading workflows.
by debugg-ai
About Zero-Config, Fully AI-Managed End-to-End Testing for all code gen platforms
by masumi-network
Enables ai agent payment, digital id, decision logging and discoverability (i.e. via Sokosumi makretplace). Auto generates a Cardano blockchain wallet for agent-to-agent payments and transactions. No blockchain coding required.
by baruchiro
Paperless-NGX Document Management Server
by prisma
Next-generation ORM for Node.js & TypeScript | PostgreSQL, MySQL, MariaDB, SQL Server, SQLite, MongoDB and CockroachDB
by Last9
Seamlessly bring real-time production context—logs, metrics, and traces—into your local environment to auto-fix code faster.
by get-convex
Convex’s MCP server lets you introspect tables, call functions, and read/write data seamlessly. Agents can generate one-off queries safely—thanks to Convex’s sandboxed queries, ensuring data integrity. Perfect for AI automation, real-time apps, and dynamic data access.
by seuros
A minimal Rails API template for creating MCP (Model Context Protocol) servers with robust tool execution capabilities and examples.
by cyanheads
A Model Context Protocol (MCP) server for ATLAS, a Neo4j-powered task management system for LLM Agents - implementing a three-tier architecture (Projects, Tasks, Knowledge) to manage complex workflows. Now with Deep Research.
by v3g42
A minimalistic async Rust implementation of the Model Context Protocol (MCP).
by cyanheads
A Model Context Protocol (MCP) server for ATLAS, a Neo4j-powered task management system for LLM Agents - implementing a three-tier architecture (Projects, Tasks, Knowledge) to manage complex workflows. Now with Deep Research.