Token MCP Server

Save up to 80% tokens when AI reads code via AST-aware structural reading

Local serverstdioPython

What is the Token MCP server?

Save up to 80% tokens when AI reads code via AST-aware structural reading. That is what the token mcp server brings to an AI assistant: the same capability, reachable through the Model Context Protocol rather than a separate app or dashboard.

The short version

  1. MCP tools — structural reads (smart_read, read_symbol, read_for_edit, …). Ask for an outline or load one function by name instead of the whole file. 2. PreToolUse hooks — intercept heavy native tool calls (Read on large files, recursive Grep, unbounded git diff) and redirect to token-efficient alternatives. 3. tp-* subagents — Claude Code delegates with MCP-first behaviour and tight response budgets.

The tools it exposes

The server publishes 1 tool. What each one is for:

  • Benchmarks — The Benchmarks tool exposed by this server

What it needs from you

Configuration is passed through the environment: TOKEN_PILOT_WORKFLOW_ID. Treat anything key-shaped as a real credential — scope it to the minimum the server needs, and rotate it if it ever lands in a shared config.

Getting it running

tsx on npm is all you need. Most clients run it directly, so configuration is a few lines and a restart.

How it compares

This sits in the developer tooling group, where several servers overlap in what they claim to do but differ sharply once you actually set them up. Token's toolset — Benchmarks — is a fair guide to whether it matches your workflow. It is maintained by Digital-Threads; worth a glance at recent repository activity before you build anything load-bearing on it.

We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.

Things to watch

  • It runs with your machine's permissions. That is convenient and also the reason to think about what you point it at before you approve a tool call.
  • Missing credentials fail quietly in some clients — if no tools show up, check the environment block first.
  • Keep per-call confirmation enabled while you learn its behaviour; it is the cheapest safeguard you have.

Available tools

ToolWhat it does
BenchmarksThe Benchmarks tool exposed by this server.

How to install the Token MCP server

{
  "mcpServers": {
    "token-pilot": {
      "command": "npx",
      "args": ["-y", "tsx"],
      "env": {
        "TOKEN_PILOT_WORKFLOW_ID": "your-value"
      }
    }
  }
}

Add to claude_desktop_config.json, then restart Claude Desktop.

Configuration

VariableDescriptionRequired
TOKEN_PILOT_WORKFLOW_IDCredential the server authenticates with.Yes

Example prompts to try

  • Use Token to Benchmarks.

Frequently asked questions

It connects Token to MCP-compatible AI assistants such as Claude and Cursor, exposing 1 tool (Benchmarks) that the assistant can call on your behalf. Instead of copying data back and forth by hand, the assistant works with Token directly.