What is MCP?
Last updated Mar 30, 2026
MCP (Model Context Protocol) is an open standard that lets AI agents connect to external tools, APIs, and data sources. When an agent uses MCP, it can read files, query databases, or call third-party services — not just have conversations. You do not need to understand the protocol itself; MultiClaw handles the connection for you.
How MCP works in MultiClaw
An MCP server is a program that exposes a set of tools an agent can call. MultiClaw connects to these servers through the desktop app and your OpenClaw configuration. Once a server is connected, agents automatically discover its tools and can use them during any task.
Servers can run locally on your machine or be hosted remotely as a service. A local server might give agents access to your file system or a local database. A remote server might connect agents to a third-party API like a project management tool or a data provider.
When your agent calls tools on a remote MCP server, your task context is sent to that server's operator. This is subject to the operator's own privacy policy and terms of service. Only connect remote MCP servers from providers you trust.
What agents can do with MCP
Without MCP, an agent is limited to conversation — reading and writing text. With MCP servers connected, agents gain real capabilities. For example, an agent could read a spreadsheet, look up a customer record, or submit a form on your behalf.
Each server advertises the specific tools it supports. The agent chooses which tools to call based on the task you give it. You stay in control by choosing which servers to connect — the agent can only use tools that connected servers make available. Be aware that remote servers may expose tools beyond what you initially expect; only connect servers from providers you trust.
When you would use this
You need MCP when an agent's task requires information or actions outside the conversation itself. If you want an agent to pull data from a database, write to a file, or interact with an external service, you need a server that provides those capabilities.
MCP is not specific to MultiClaw — it is an open protocol supported across multiple AI platforms. Servers built for other platforms work in MultiClaw too, as long as they follow the standard.
You only need to add a server once. After that, all agents can use its tools automatically — no extra configuration per task.