TokenLab MCP Server
Read-only MCP server that exposes public TokenLab model catalog tools for agents to discover models, inspect request contracts, and compare pricing.
README
TokenLab MCP Server
Model Context Protocol server for TokenLab public model discovery, pricing, OpenAI-compatible Chat Completions, and native Responses, Anthropic Messages, and Gemini inference.
It exposes public catalog tools for agents that need to choose models, inspect supported request formats, or compare pricing before calling TokenLab APIs. Optional inference tools require TOKENLAB_API_KEY.
Tools
list_models- List public TokenLab models, optionally filtered byrecommended_for.get_model- Fetch public model details for one model ID.get_model_pricing- Fetch pricing details for one model ID.compare_models- Compare details and pricing for several model IDs.get_api_overview- Fetch the agent-readablellms.txtoverview.create_chat_completion- Call TokenLab's OpenAI-compatible non-streaming Chat Completions API. RequiresTOKENLAB_API_KEY.create_response- Call TokenLab Responses API. RequiresTOKENLAB_API_KEY.create_anthropic_message- Call TokenLab Anthropic Messages API. RequiresTOKENLAB_API_KEY.create_gemini_content- Call TokenLab Gemini generateContent API. RequiresTOKENLAB_API_KEY.
Run
npm install
npm start
Install from npm:
npx -y @tokenlabai/mcp-server
Agent-assisted installers can follow llms-install.md for a minimal, credential-safe setup and verification flow.
Run in Docker:
docker build -t tokenlab-mcp-server .
docker run --rm -i tokenlab-mcp-server
Add -e TOKENLAB_API_KEY when using inference tools. Public catalog tools do not require a key.
Claude Desktop style config:
{
"mcpServers": {
"tokenlab-model-catalog": {
"command": "npx",
"args": ["-y", "@tokenlabai/mcp-server"],
"env": {
"TOKENLAB_API_BASE": "https://api.tokenlab.sh"
}
}
}
}
No TokenLab API key is required for the public catalog tools. Set TOKENLAB_API_KEY only when you want the inference tools to call paid TokenLab APIs. create_chat_completion supports OpenAI-compatible messages, multimodal content parts, function calling, and common generation controls. The native tools preserve structured Responses input, Anthropic message blocks and tools, and Gemini contents, multimodal parts, tools, and generation config. The prompt shortcuts remain available for simple Anthropic and Gemini calls. MCP tools return a normal JSON result, so streaming is intentionally disabled.
Environment
TOKENLAB_API_BASE: optional, defaults tohttps://api.tokenlab.shTOKENLAB_API_KEY: optional; required only forcreate_chat_completion,create_response,create_anthropic_message, andcreate_gemini_contentTOKENLAB_REQUEST_TIMEOUT_MS: optional request timeout in milliseconds, defaults to30000
MCP Registry Metadata
This repository includes server.json for the official MCP Registry.
Current publication:
- npm package:
@tokenlabai/mcp-server@0.3.0 - MCP registry name:
io.github.hedging8563/tokenlab - Official MCP Registry status: active
package.json.mcpName:io.github.hedging8563/tokenlab
For a new release:
- Bump the matching versions in
package.json,package-lock.json, andserver.json. - Push a matching tag such as
v0.3.0. - The publish workflow tests and publishes npm through trusted publishing, then publishes the MCP Registry entry through GitHub Actions OIDC.
The same workflow can be run manually from main to republish only the current MCP Registry metadata. No npm or MCP Registry token is stored in GitHub.
Links
- Docs: https://docs.tokenlab.sh
- OpenAPI: https://docs.tokenlab.sh/openapi.json
- Model catalog: https://api.tokenlab.sh/v1/models
- Skills: https://github.com/hedging8563/tokenlab-skills
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