MCP server · Coding

Claude Code MCP bridge

Lets your AI assistant ask Claude Code questions, run web searches, and get tidy structured answers.

Coding For it and development Coding Agents

This is a small helper that connects your AI assistant to Claude Code, the command-line version of Claude. Once it is set up, your assistant can hand tasks to Claude Code and bring the answers back into your chat. It is handy if you use tools like Cursor, Windsurf, or VS Code and want a second opinion from Claude without leaving your editor.

What is an MCP server? The 30-second version

On its own, your AI can only chat with you. An MCP server is a small helper program that gives your AI a new skill or a connection to another app. This one connects your AI to Claude Code, so when you ask a question, your AI can pass it along to Claude Code and bring the reply back. You do not need to learn any commands. Your AI does the talking for you.

What this MCP server does

You type a request in your AI assistant, like asking Claude to look at a file or search the web. Your assistant passes that request to this bridge. The bridge runs Claude Code behind the scenes, with limits you set, like how long it can run or how much it can spend. Claude Code does the work, and the bridge sends the answer back to your assistant. You see the result in your normal chat window.

Flow diagram: you ask your AI “Ask Claude to review src/utils/parse.ts for edge cases”, on your own computer the Claude Code MCP bridge works with claude Code, and you get back answer in your chat.

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What you can do with it

Ask Claude Code questions about files in a folder you choose
Run a web search and get a written answer with source links
Get answers in a strict format, like a filled-in form or a small table
Continue a previous Claude Code conversation by reusing its session
Check that Claude Code is installed and logged in
See a list of active sessions with cost and turn counts
Set a spending cap so a single request cannot run up a big bill

Try asking your AI

“Ask Claude to review src/utils/parse.ts for edge cases”
“Search the web for the latest Node.js release notes and summarize them”
“Give me a JSON object with the fields title, author, and year for this book description”
“Continue the previous session and explain the retry logic in this file”

What it gives back to you

You get back plain text answers, lists, or tidy JSON, depending on what you asked for. Search results come with source links. Every reply also carries small details like how long it took, which model was used, and how much it cost. You see all of this in your normal chat, no extra windows.

Before you start

What you need

Claude Code CLI installed and available on your computer
A Claude login (claude login) using your Pro or Max plan, or an Anthropic API key if you prefer to pay per use
An MCP client that supports adding servers, like Cursor, Windsurf, VS Code, Codex CLI, or Gemini CLI
Node.js installed so npx can run the bridge

Good to know

Claude Code can read files in folders you point it at, and if you widen its tool list it can also write or run commands, so only give it folders you are comfortable sharing.

Install it with your AI

Add Claude Code MCP bridge to your AI, no technical skills needed

You don't install anything by hand. You copy one prompt, paste it into an AI that can work on your computer, and it checks, installs and connects the server for you, asking you when it needs something.

Sign in to get the install prompt

Members get a ready-made prompt that lets the Claude desktop app check Claude Code MCP bridge, install it and connect it for them, step by step. You don't need any technical skills: you copy, paste and answer a few questions. Your connected AI can also find and install any of the 4,066 MCP servers here for you.