In short
MCP, the Model Context Protocol, is an open standard from Anthropic that lets AI agents connect to tools and data through one common protocol instead of a separate integration for each.
The problem MCP solves
Before MCP, every AI platform had its own way of calling external tools. You'd write a Gmail plugin for ChatGPT, then rewrite it for Claude, then rewrite it again for Cursor. Three different codebases, three different update cycles, three times the maintenance.
MCP (Model Context Protocol) was announced by Anthropic in late 2024 as an open standard. A Gmail MCP server is written once and works with any MCP-compatible agent: AskMojo, Claude Code, Cursor, Zed, and more.
How MCP works
The flow is simple. An MCP server exposes a list of tools (actions it can perform). An MCP client (your agent) discovers those tools and calls them as needed during its reasoning loop. Results come back in a standardized format the agent understands.
- MCP serverA process that exposes tools, e.g. "send email", "list files", "create issue". Built by the service provider or by the community.
- MCP clientYour AI agent (AskMojo, Claude Code, Cursor…). It connects to one or more MCP servers and calls their tools.
- Tool callThe agent decides to call a tool (e.g. gmail.send_message). The MCP server executes it and returns the result.
- Context loopThe result is added to the agent's context. It can then call another tool, ask a clarifying question, or produce a final output.
MCP vs traditional integrations
Traditional integrations are one-to-one: each AI + each service = a custom connector. MCP is many-to-many: any MCP-compatible agent can use any MCP server.
This matters for portability. If you build a workflow in AskMojo today using Gmail via MCP, that same workflow can move to Claude Code or any future agent that speaks MCP, without rebuilding the integration.
MCP in AskMojo
AskMojo connects to external services through MCP. When Mojo needs to read your Gmail, check Notion, or push a GitHub commit, it calls the corresponding MCP server. You authorize the connection once; Mojo uses it whenever your magik needs it.
The list of connected services appears in "Your Stack" on your workspace. You add or remove them without touching any code.
Frequently asked questions
- What does MCP mean in AI?
- MCP stands for Model Context Protocol. It is an open standard that lets AI agents connect to external tools and data through one common protocol, instead of a separate custom integration for every service. In short, MCP is the shared language agents use to call real-world tools.
- What is an MCP server?
- An MCP server is a small program that exposes a set of tools to an AI agent, for example "send email", "list files", or "create issue". The agent (the MCP client) connects to the server, discovers its tools, and calls them during its reasoning loop. A Gmail MCP server is written once and works with any MCP-compatible agent.
- Who created MCP?
- Anthropic announced MCP in November 2024 as an open standard. It has since been adopted by many AI tools including Claude Code, Cursor, Zed, and others.
- Is MCP only for developers?
- No. In AskMojo, you connect services via a UI (click "Connect Gmail", authorize, done). The MCP protocol runs in the background. You never write code.
- What is the difference between MCP and a regular API?
- A regular API requires you to write code to call it. MCP is a protocol layer above the API that lets AI agents discover and call the API automatically, without you writing any integration code.
- Can I build my own MCP server?
- Yes. MCP servers can be built in Python, TypeScript, or any language with an MCP SDK. The spec is open at modelcontextprotocol.io. AskMojo supports both hosted MCP servers and custom local ones.