MCP

Founded by David Soria Parra in 2024

Connect AI applications to external data sources and tools using a standard protocol

Cost

Free

Rating

★ People love it

Time to value

Quick Setup (< 1 hour)

You can use MCP to build a standard connection layer between AI applications (like Claude or ChatGPT) and external systems such as databases, files, APIs, and workflows. Developers can create MCP servers to expose data and tools, and build client applications that consume those servers. It removes the need to build custom integrations for every AI app, letting you write one integration that works across any MCP-compatible AI application or agent.

What MCP does

Build an MCP server to expose your data or tools to AI applicationsCreate an MCP client application that connects to external MCP serversConnect an AI agent to a live database to answer user questionsRegister custom tools (like search or calculators) that AI models can callDefine prompt workflows that AI applications can discover and useTest AI integrations across multiple MCP-compatible clients at onceExpose local files or APIs to AI assistants through a standard interfaceBuild reusable integrations once and deploy across multiple AI appsOpen-source and free to use with no vendor lock-inSingle integration works across all MCP-compatible AI clientsSupports connecting to local files, databases, APIs, and workflowsLets developers expose custom tools and data as MCP serversBroad ecosystem support including Claude, ChatGPT, VS Code, and CursorStandardized protocol similar to USB-C for AI application connectivitySupports building both MCP servers and clientsEnables AI agents to take actions on behalf of users across apps