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Enterprise Layer Intelligence
Categories/AI Orchestration & MLOps/MCP
MCP

MCP

Founded by David Soria Parra in 2024

Connect language models and AI assistants to external databases, tools, and workflows

Pricing model

Free

Rating

★ People love it

Time to value

Quick Setup (< 1 hour)

You can use Model Context Protocol to connect artificial intelligence assistants to your local files, databases, and custom tools. It functions as an open standard that allows models like Claude or ChatGPT to access real-time information and take action directly within external systems. Developers can build servers that expose data and functions, or build client applications that communicate with those servers. This setup removes the need to write custom integration code for every separate model, letting your agents retrieve context and execute tasks across diverse software environments reliably.

What MCP does

Expose local files and documentation to AI clientsConfigure custom database connectors for chat interfacesBuild custom MCP servers in Python or TypeScriptConnect developer IDEs to internal company APIsDefine security boundaries for tool executionRegister prompts and actions for autonomous agentsOpen-source standardized protocol for AI tool integrationClient-server architecture separating applications from data sourcesLocal and remote server connection supportPrebuilt interfaces for exposing database queries and file accessMulti-client compatibility across IDEs and chat interfacesStandardized security boundaries and user permission promptsSupport for dynamic resource discovery and prompt templates

Pricing breakdown

Pricing model: Free

Tutorials & Demos

Frequently asked

ClaudeClaudeChatGPTChatGPTVisual Studio CodeVisual Studio CodeCursorCursorGoogle calendarGoogle calendarNotionNotionFigmaFigmaBlenderBlender

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