A thoughtful AI collaborator for writing, analysis, coding, and long-form work.
Full evaluationGlossary · Updated Sep 2, 2026
Model Context Protocol (MCP)
An open standard for connecting AI assistants and agents to tools and data sources through a common interface.
Definition
MCP defines how a client such as a coding assistant or chat app discovers and calls tools exposed by servers, which can wrap databases, SaaS APIs, file systems, or internal services. Because it is a shared protocol, one integration can serve many assistants. Adoption spans coding tools, desktop assistants, and automation platforms.
Why it matters when choosing a tool
Choosing tools that speak MCP reduces lock-in and lets you reuse integrations across assistants and agents.
Where you will meet it
AI Coding & Development, AI Agent & Chatbot Builders, AI Automation & Workflows
Related terms
Tools where this matters
Reviewed products in the related categories
An AI-native code editor for repository-aware agents, edits, review, and automation.
Full evaluationAnthropic's agentic coding tool that works in the terminal, IDE, desktop app, and browser to plan and execute multi-step changes.
Full evaluationUnified TypeScript library for streaming, structured outputs, and agent loops across AI providers
Full evaluationPrototyping environment and developer API platform for Google's Gemini models
Full evaluationA source-available workflow automation platform with native AI agent nodes, self-hostable or cloud.
Full evaluation