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Toolport

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Toolport is a free, open-source local MCP gateway that lets AI clients share MCP servers through one setup. It reduces tool-list token bloat, keeps secrets in the OS keychain, and gives developers a cleaner way to use Claude, Cursor, Codex, VS Code, and other agent clients.

Added on July 2, 2026

Toolport Screenshot

Product Information

What is Toolport?

Toolport is a local gateway for Model Context Protocol servers. Instead of pasting the same MCP server configuration and API keys into every AI client, developers set each server up once and expose a much smaller tool interface to Claude, Cursor, Codex, VS Code, Windsurf, and other tools. The product focuses on reducing tool-definition tokens, centralizing MCP setup, and keeping secrets on the user's machine. It is useful for developers and agent-heavy teams that rely on multiple AI coding clients but want less configuration drift and context overhead.

How to use Toolport?

  1. Download and install Toolport for Windows, macOS, or Linux.
  2. Add MCP servers and store the required credentials locally through Toolport.
  3. Connect supported AI clients to the single local Toolport gateway.
  4. Toggle which servers or tools each client can access from the Toolport app.
  5. Review calls and token savings while agents use a smaller shared tool surface.

Core Features

  • Local MCP gateway — Shares configured MCP servers across multiple AI clients from one local app.
  • Token reduction — Lets agents load a much smaller tool interface instead of hundreds of raw tool definitions.
  • Multi-client support — Works with Claude, Cursor, VS Code, Windsurf, Codex, and other agent clients.
  • Secrets in keychain — Keeps API keys and credentials in the operating system keychain rather than copying them into every client.
  • Server toggles — Allows users to enable, disable, and route MCP servers without repeatedly editing config files.
  • Open-source app — Provides a free and inspectable local workflow with no required cloud account.

Use Cases

  • AI coding setup — Configure MCP servers once and reuse them across daily coding assistants.
  • Context cleanup — Reduce the tool-definition tokens that slow down or confuse AI agents.
  • Team standardization — Give a team a consistent local MCP gateway pattern across supported clients.
  • Credential hygiene — Avoid scattering the same server keys across many separate app configs.

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