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Toolport

Every tool. One port. One local gateway for all your MCP servers, shared by every AI client, with far fewer tokens.

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Toolport is a local MCP (Model Context Protocol) gateway. You set up and authenticate each server once, and every AI client (Claude, Cursor, Codex, Toolport Studio, and the rest) points at Toolport and shares them, so you stop configuring the same servers separately in each app.

It also fixes what those servers cost your agent. Every MCP server you connect dumps all of its tools into context on every single request, and it adds up fast: just 3 servers (62 tools) cost ~24,000 tokens of definitions before you've asked anything. Toolport advertises a handful of compact meta-tools the agent searches on demand instead, so it pays ~900 tokens (96% less, measured).

Measured on a frontier model: up to 91% fewer total tokens at the same task success (graded for correct answers, not just completion), plus 96% less tool-definition overhead on every request, rising to 99.5% on a real 415-tool catalog (see BENCHMARK.md). That holds whether you run one AI tool or five, on cloud models (where tokens are your bill) or local ones (where tool defs eat your context window).

Fewer tokens - lazy discovery keeps context flat no matter how many servers you connect	One config, every client - set up a server once, every AI tool shares it	Supply-chain security - rug-pull and tool-poisoning detection on the path

Get started in two minutes

1. Download the installer for Windows, macOS, or Linux (details in Install).
2. Add a server from the built-in catalog, or paste a config snippet from any server's docs, and authenticate once.
3. Open Clients and click Connect to Toolport on each AI client you use.

That's the whole setup. Every client now shares the same servers, and new servers you add propagate to all of them. There's a 60-second demo on the website if you want to watch it first.

Why

Every MCP server you connect dumps its full tool list into your agent's context on every request, and