K

knit-mcp

Knit — second brain for any MCP-speaking AI coding agent (Claude Code, Cursor, Codex CLI, Cline, Continue, GitHub Copilot). Per-project memory, tier-routed wor…

Developer Tools
Install Command
npx -y knit-mcp
Claude Desktop Config
{
  "mcpServers": {
    "knit-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "knit-mcp"
      ]
    }
  }
}

knit-mcp is a community MCP server that connects AI assistants like Claude to knit — second brain for any mcp-speaking ai coding agent (claude code, cursor, codex cli, cline, continue, github copilot). per-project memory, tier-routed wor…. It runs locally on your machine, keeping your data private and giving you full control over the connection. Developers can use it to bring AI assistance directly into their build and coding environment.

About knit-mcp

Overview

Knit — second brain for any MCP-speaking AI coding agent (Claude Code, Cursor, Codex CLI, Cline, Continue, GitHub Copilot). Per-project memory, tier-routed workflow protocol, parallel team worktrees.

Links

Topics

ai, agent, memory, workflow, claude-code, mcp, mcp-server, second-brain, developer-tools, knit

Who Should Use knit-mcp?

  • 1Speed up coding workflows by letting Claude interact with your dev environment
  • 2Run terminal commands, manage processes, and inspect logs via AI
  • 3Integrate AI assistance directly into your build and CI pipelines
  • 4Automate repetitive dev tasks like scaffolding, linting, and testing

How to Install knit-mcp

Before you start

You will need Node.js (v18 or later) installed on your machine — download it from nodejs.org if you haven't already.

  1. 1Open a terminal (Terminal on Mac, Command Prompt or PowerShell on Windows).
  2. 2Paste the install command above and press Enter — Node.js will download and run the server automatically.
  3. 3Add the server to your Claude Desktop config file (see the JSON snippet above) and restart Claude.

The Claude Desktop config snippet above can be copied and pasted directly into your claude_desktop_config.json file — no editing required.

How knit-mcp Compares

It runs entirely on your local machine, so no data leaves your environment — important for teams with privacy or compliance requirements.
It is distributed as an npm package, making version management and updates straightforward with a single `npm update` command.

Tags

aiagentmemoryworkflowclaude-codesecond-braindeveloper-toolsknit

Reviews