Tiktoken MCP Server

MCP server for counting tokens using tiktoken

Local serverstdioPython

What is the Tiktoken MCP MCP server?

Tiktoken MCP MCP server exists for a simple reason — assistants are far more useful when they can act on Tiktoken MCP directly instead of describing what you should do. MCP server for counting tokens using tiktoken.

What you get

An MCP (Model Context Protocol) server that provides token counting functionality using OpenAI's tiktoken library.

  • 🔢 Token Counting: Count tokens for any text using various tiktoken encodings
  • 💰 Cost Estimation: Estimate token costs for popular AI models (GPT-4, Claude, etc.)
  • 🚀 Easy to Use: Run directly with npx - no installation required
  • 🔧 Claude Desktop Integration: Seamlessly integrates with Claude Desktop app

What the assistant can call

Once Tiktoken MCP is connected, these are the calls the assistant has available:

  • count_tokens — The count_tokens tool exposed by this server
  • estimate_cost — The estimate_cost tool exposed by this server
  • macOS — Location: ~/Library/Application Support/Claude/claude_desktop_config.json
  • Windows — The Windows tool exposed by this server
  • Configuration — After adding this configuration, restart Claude Desktop. You should then be able to use the token counting tools in your conversations

Configuration and credentials

  • Node.js 16 or higher - Python 3.6 or higher - pip (Python package manager) The tiktoken Python library will be automatically installed when you first run the package.

Setting it up

Installation goes through your MCP client rather than a global install: point it at tiktoken-mcp on npm and it is fetched when the client starts. The copy-paste blocks for Claude Desktop, Claude Code and Cursor are further down this page.

Choosing this one

Among the developer tooling options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. Tiktoken MCP's toolset — count_tokens, estimate_cost, macOS and 2 more — is a fair guide to whether it matches your workflow. It is maintained by adbertram; worth a glance at recent repository activity before you build anything load-bearing on it.

SyncDev reviews every entry in this directory against the project's own documentation before publishing, and revisits them as servers change.

Before you rely on it

  • 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.
  • MCP clients confirm each tool call by default. Leave that on until you have watched what the tiktoken mcp mcp server does with a few real requests.

Available tools

ToolWhat it does
count_tokensThe count_tokens tool exposed by this server.
estimate_costThe estimate_cost tool exposed by this server.
macOSLocation: ~/Library/Application Support/Claude/claude_desktop_config.json
WindowsThe Windows tool exposed by this server.
ConfigurationAfter adding this configuration, restart Claude Desktop. You should then be able to use the token counting tools in your conversations.

How to install the Tiktoken MCP MCP server

{
  "mcpServers": {
    "tiktoken": {
      "command": "npx",
      "args": ["tiktoken-mcp"]
    }
  }
}

Configuration as documented by the project. Restart the client after saving.

Configuration

  • Node.js 16 or higher - Python 3.6 or higher - pip (Python package manager) The tiktoken Python library will be automatically installed when you first run the package.

Example prompts to try

  • Use Tiktoken MCP to count tokens.
  • Use Tiktoken MCP to estimate cost.
  • Use Tiktoken MCP to macOS.

Frequently asked questions

It connects Tiktoken MCP to MCP-compatible AI assistants such as Claude and Cursor, exposing 5 tools (count_tokens, estimate_cost, macOS, and more) that the assistant can call on your behalf. Instead of copying data back and forth by hand, the assistant works with Tiktoken MCP directly.