TokenLens MCP Server
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@TokenLens MCP Serverrecommend plan for coding 3h/day on claude-sonnet"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
TokenLens MCP Server
MCP server that exposes TokenLens pricing data as tools for AI agents (Claude Code, Cursor, Windsurf, Claude Desktop, etc.).
Tools
Tool | Description |
| Rank all plans by effective cost/1M tokens for a given model |
| Calculate API vs subscription cost for a usage pattern |
| Find the daily hours where API cost equals a subscription price |
| Single best-value plan for your usage profile |
Related MCP server: LLM Benchmark MCP Server
Setup
1. Install
git clone https://github.com/flikQ/tokenlens-mcp.git
cd tokenlens-mcp
npm install # or: bun install
npm run build # or: bun run build2. Connect to your editor
Claude Code (one command):
claude mcp add tokenlens -- node /path/to/tokenlens-mcp/dist/index.jsTo always use live pricing data from tokenlens.flikq.dev:
claude mcp add tokenlens -- env TOKENLENS_DATA_URL=https://tokenlens.flikq.dev/api/data node /path/to/tokenlens-mcp/dist/index.jsCursor · Windsurf · Claude Desktop — add to config JSON:
Cursor:
~/.cursor/mcp.jsonWindsurf:
~/.codeium/windsurf/mcp_config.jsonClaude Desktop:
~/Library/Application Support/Claude/claude_desktop_config.json
{
"mcpServers": {
"tokenlens": {
"command": "node",
"args": ["/path/to/tokenlens-mcp/dist/index.js"],
"env": {
"TOKENLENS_DATA_URL": "https://tokenlens.flikq.dev/api/data"
}
}
}
}3. Verify
Restart your editor, then ask your agent:
Use the tokenlens recommend_plan tool. I code 3h/day on claude-sonnet.Data source
By default the server reads bundled data/*.json files from the repo. To always use the latest live pricing data, set:
TOKENLENS_DATA_URL=https://tokenlens.flikq.dev/api/dataThe server fetches all data at startup and caches it in memory. If the URL is unreachable it automatically falls back to the bundled local files.
You can also point at a custom data directory:
TOKENLENS_DATA_DIR=/path/to/custom/dataLicense
MIT
This server cannot be installed
Maintenance
Resources
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If you are the server author, to access and configure the admin panel.
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