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TokenLab MCP Server

de hedging8563versión 0.6.44i★ –iSe ejecuta en tu computadora
Nombre en el registroio.github.hedging8563/tokenlab

Instalar

Resumen

Descripción del creador (original en inglés)

TokenLab MCP server: generate images and video, call models. 32 default and 89 full-profile tools.

Los tres pilares de PopNx MCP

Estos tres nunca se combinan en una sola puntuación: las opiniones, las mediciones y la popularidad son cosas distintas.

Qué puedes hacer con él

Todavía no escribimos un resumen sencillo para este. Abajo están los datos que leímos del registro.

  • Conexión: Se ejecuta en tu computadora
  • Transporte: stdio
  • Categoría: Diseño, imágenes y audio
  • Debes completar: TOKENLAB_API_KEY, TOKENLAB_MANAGEMENT_TOKEN

Instalación

Elige la app de IA que usas y copia la configuración.

Antes de instalar

  • Revisiones básicas: 1 de 1 superadas
  • Se ejecuta en tu computadora con los permisos de tu usuario (archivos, red, apps).
  • Debes completar tú: TOKENLAB_API_BASE, TOKENLAB_API_KEY, TOKENLAB_REQUEST_TIMEOUT_MS, TOKENLAB_MCP_TOOL_PROFILE, TOKENLAB_MCP_SCHEMA_MODE, TOKENLAB_MCP_MAX_FILE_BYTES, TOKENLAB_MCP_INLINE_BYTES, TOKENLAB_ARTIFACT_DIR, TOKENLAB_MANAGEMENT_TOKEN

Los valores marcados como secretos son llaves de tu cuenta. Nunca los compartas ni los pegues en un chat.

Necesitas

  • npmNode.js instalado (para el comando npx)

¿Qué app usas?

Elige tu app arriba. La recordamos, así que la próxima vez el botón dirá “Instalar en …”.

Abre Claude Desktop → Settings → Developer → Edit Config y pega esto en claude_desktop_config.json

{
  "mcpServers": {
    "tokenlab": {
      "command": "npx",
      "args": [
        "-y",
        "@tokenlabai/mcp-server"
      ],
      "env": {
        "TOKENLAB_API_BASE": "your-value",
        "TOKENLAB_API_KEY": "your-value",
        "TOKENLAB_REQUEST_TIMEOUT_MS": "your-value",
        "TOKENLAB_MCP_TOOL_PROFILE": "your-value",
        "TOKENLAB_MCP_SCHEMA_MODE": "your-value",
        "TOKENLAB_MCP_MAX_FILE_BYTES": "your-value",
        "TOKENLAB_MCP_INLINE_BYTES": "your-value",
        "TOKENLAB_ARTIFACT_DIR": "your-value",
        "TOKENLAB_MANAGEMENT_TOKEN": "your-value"
      }
    }
  }
}

Ejecuta esto en tu terminal

claude mcp add tokenlab --env TOKENLAB_API_BASE=your-value --env TOKENLAB_API_KEY=your-value --env TOKENLAB_REQUEST_TIMEOUT_MS=your-value --env TOKENLAB_MCP_TOOL_PROFILE=your-value --env TOKENLAB_MCP_SCHEMA_MODE=your-value --env TOKENLAB_MCP_MAX_FILE_BYTES=your-value --env TOKENLAB_MCP_INLINE_BYTES=your-value --env TOKENLAB_ARTIFACT_DIR=your-value --env TOKENLAB_MANAGEMENT_TOKEN=your-value -- npx -y @tokenlabai/mcp-server

Completa los valores vacíos antes de ejecutarlo.

Abrir en Cursor

O copia la configuración tú

Pégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json

{
  "mcpServers": {
    "tokenlab": {
      "command": "npx",
      "args": [
        "-y",
        "@tokenlabai/mcp-server"
      ],
      "env": {
        "TOKENLAB_API_BASE": "your-value",
        "TOKENLAB_API_KEY": "your-value",
        "TOKENLAB_REQUEST_TIMEOUT_MS": "your-value",
        "TOKENLAB_MCP_TOOL_PROFILE": "your-value",
        "TOKENLAB_MCP_SCHEMA_MODE": "your-value",
        "TOKENLAB_MCP_MAX_FILE_BYTES": "your-value",
        "TOKENLAB_MCP_INLINE_BYTES": "your-value",
        "TOKENLAB_ARTIFACT_DIR": "your-value",
        "TOKENLAB_MANAGEMENT_TOKEN": "your-value"
      }
    }
  }
}

Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.

Abrir en VS Code

O copia la configuración tú

Pégalo en .vscode/mcp.json de tu proyecto

{
  "servers": {
    "tokenlab": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@tokenlabai/mcp-server"
      ],
      "env": {
        "TOKENLAB_API_BASE": "your-value",
        "TOKENLAB_API_KEY": "your-value",
        "TOKENLAB_REQUEST_TIMEOUT_MS": "your-value",
        "TOKENLAB_MCP_TOOL_PROFILE": "your-value",
        "TOKENLAB_MCP_SCHEMA_MODE": "your-value",
        "TOKENLAB_MCP_MAX_FILE_BYTES": "your-value",
        "TOKENLAB_MCP_INLINE_BYTES": "your-value",
        "TOKENLAB_ARTIFACT_DIR": "your-value",
        "TOKENLAB_MANAGEMENT_TOKEN": "your-value"
      }
    }
  }
}

Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.

Este se ejecuta en tu computadora, y ChatGPT solo puede conectarse a servidores en internet. Elige otra app.

Tu elección se guarda en una cookie en este dispositivo; no necesitas cuenta.

Valores que debes completar

  • TOKENLAB_API_BASE env
    Optional TokenLab API base URL. Defaults to https://api.tokenlab.sh.
  • TOKENLAB_API_KEY secreto env
    Optional TokenLab API key. Required for LLM inference, multimodal generation, async task, embedding, rerank, and translation tools.
  • TOKENLAB_REQUEST_TIMEOUT_MS env
    Optional request timeout in milliseconds. Defaults to 120000.
  • TOKENLAB_MCP_TOOL_PROFILE env
    Optional generated tool profile: catalog, core (default), or full.
  • TOKENLAB_MCP_SCHEMA_MODE env
    Optional tool schema mode: portable, exact, or strict. Defaults to the selected profile's tested mode.
  • TOKENLAB_MCP_MAX_FILE_BYTES env
    Optional maximum local upload size per file. Defaults to 104857600 bytes.
  • TOKENLAB_MCP_INLINE_BYTES env
    Optional maximum response size returned inline. Defaults to 2097152 bytes.
  • TOKENLAB_ARTIFACT_DIR env
    Optional local directory for response artifacts that are not returned inline.
  • TOKENLAB_MANAGEMENT_TOKEN secreto env
    Optional workspace Management Token (mt-...) for webhook tools in the full profile. Separate from inference API keys; never put it in tool arguments.

Esta configuración se genera a partir de la ficha del creador en el registro. Si el README dice otra cosa, sigue el README.

Qué puede hacer

Se ejecuta en tu computadora; la lista de herramientas aparece en tu app de IA después de instalarlo.

Revisiones básicasi

Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 6 nov 2026

  • ✓ Superada

    El creador coincide con el repo

    El nombre en el registro se verificó con la cuenta de GitHub hedging8563, dueña del repo

  • … Aún sin revisar

    Sigue en mantenimiento

    Todavía no hemos leído este repo en GitHub

  • … Aún sin revisar

    Tiene licencia

    Todavía no hemos leído este repo en GitHub

  • – No aplica

    El endpoint responde

    Este se ejecuta en tu computadora; no hay endpoint en internet

  • – No aplica

    Inicio de sesión con OAuth

    Se ejecuta en tu computadora y usa ajustes locales en su lugar

  • … Aún sin revisar

    Sin instrucciones ocultas en las descripciones de herramientas

    Se ejecuta en tu computadora; solo podemos leer listas de herramientas de endpoints en internet

Comparado con otros en Diseño, imágenes y audioi

  • Más estrellas que el 0% de los otros 2169 servidores de esta categoría
  • Publicado en el registro más recientemente que el 96% de los otros 2169 servidores de esta categoría
  • Revisiones básicas iguales o mejores que el 100% de los otros 2169 servidores de esta categoría

Comparado con todos los servidores activos de esta categoría en el registro. Las estrellas solo cuentan cuando quien lo publica es dueño del repo.

Preguntas frecuentes

¿Es seguro TokenLab MCP Server?

Superó 1 de 1 revisiones básicas aplicables. No hemos leído el código. Antes de agregar una clave o un token, revisa qué acceso pide el servidor y usa una clave que tenga solo los permisos que necesitas.

¿Qué claves o códigos necesita?

Debes completar: TOKENLAB_API_KEY, TOKENLAB_MANAGEMENT_TOKEN

¿Se ejecuta en mi computadora o en la nube?

Se ejecuta en tu computadora. Tu app de IA lo inicia cuando hace falta, y los datos no pasan por los servidores del creador (a menos que el propio servidor llame a un servicio en línea).

¿Sigue en mantenimiento?

El repo de GitHub cambió por última vez –, y la última versión (0.6.44) llegó al registro ayer.

¿Qué apps pueden usarlo?

Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas Node.js en tu computadora.

¿Qué puedo usar en su lugar?

En la misma categoría: Figma Context MCP, Claude Real Video, Figma MCP Server

Alternativas

Servidores de la misma categoría hechos por otros creadores, ordenados por estrellas.

Cómo leer una tarjeta:★ Estrellas de GitHubiTres pilares: reseñas · revisiones · usoiActualizado = fecha en que se publicó la última versión en el registroi

Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.

Se ejecuta en tu computadora★ 16.165MITActualizado hace 5 meses
Instalar

Claude Real Video

de HUANGCHIHHUNGLeo

Let any LLM watch a video locally — and search everything it has ever watched.

Se ejecuta en tu computadora★ 2284MITActualizado hace 2 meses
Instalar

The Figma MCP server brings Figma design context directly into your AI workflow.

Se ejecuta en la nube★ 2152Actualizado hace 13 meses
Instalar

README del creador

Abrir el README

Copiado tal cual del repo del creador. PopNx MCP no lo ha revisado ni lo respalda. Se quitaron HTML, imágenes y scripts. Los enlaces llevan fuera de este sitio.

TokenLab MCP Server

OpenAPI-generated Model Context Protocol server for TokenLab public model discovery, pricing, native LLM endpoints, typed decisions, multimodal generation, async tasks, files, embeddings, rerank, translation, resources, prompts, and the broader developer API.

It exposes public catalog tools for agents that need to choose models, inspect supported request formats, or compare pricing before calling TokenLab APIs. Credentialed tools cover text inference, image generation and editing, video, music, 3D, async task polling, embeddings, rerank, typed decisions, and text translation.

Generated Tool Profiles

The checked-in generated/tools.json manifest is generated from TokenLab's public OpenAPI document plus the small MCP-only overlay in contract/mcp-overlay.json. Version 0.6.44 generates 87 endpoint tools; with the two MCP-only composite discovery tools, the full profile returns 89 tools from tools/list.

ProfileEndpoint toolsTotal registered toolsModel-facing schemaCoverage
catalog46ExactPublic model discovery and pricing only; no API key required
core (default)3032PortableCatalog and pricing; Chat Completions, Responses, Anthropic Messages, Gemini generateContent; System One typed decisions; images, video, music, 3D, speech and transcription; async tasks; files; embeddings, rerank, and translation
full8789PortableEvery allowlisted developer API operation in the checked-in OpenAPI snapshot, including core plus response lifecycle, batches, worlds, and native model discovery

The total registered count is the number returned by tools/list. All profiles include compare_models and get_api_overview, producing totals of 6, 32, and 89 tools. Realtime and streaming-only operations are excluded because stdio MCP tool calls return one final result. API operations that accept stream fix it internally to false without exposing a boolean const to provider adapters, and the Gemini query-string API key is intentionally hidden from tool arguments. create_gemini_content exposes the camelCase Gemini fields (systemInstruction, generationConfig, safetySettings, toolConfig, cachedContent) and hides their snake_case proto spellings, which the API accepts as aliases.

The portable projection keeps every top-level argument but bounds deeply nested model-facing shapes. The server still validates calls against the complete generated OpenAPI schema before issuing an API request. Compatibility budgets keep core at no more than 60 KB and depth 8, and full at no more than 115 KB and depth 8 for the complete tools/list response. Tests also run the full profile through the Google AI SDK version used by the observed OpenCode/Gemini failure and keep its function declarations within 90 KB.

Set TOKENLAB_MCP_TOOL_PROFILE=catalog for the smallest public-only tool list or TOKENLAB_MCP_TOOL_PROFILE=full for the broad developer API. Set TOKENLAB_MCP_SCHEMA_MODE=exact only when a client needs the complete nested JSON Schema and can accept its larger/deeper tool payload. Use strict for providers that require every property to be listed in required and every object to set additionalProperties: false; complex top-level arguments are represented as JSON-encoded strings and decoded before canonical validation. Canonical tool names, descriptions, input JSON Schemas, HTTP bindings, content types, auth requirements, and task behavior can be inspected in generated/tools.json.

The smaller generated/public-contract.json is the machine-readable projection used by TokenLab's website and other public consumers. It contains package identity, profile counts, core tool layers, resources, prompts, and source hashes without copying all endpoint schemas.

Native MCP Features

  • JSON tool responses include structuredContent while retaining serialized text for older clients.
  • HTTP errors retain the original response text (up to 4,000 characters), including public correction hints, alongside structured status, request ID and retry timing. Only the request ID and retry headers are exposed; failed generation requests are never submitted again automatically.
  • Generated tools expose human-readable titles, standard read-only/destructive/idempotent/open-world annotations, and response request IDs when available.
  • Tool schemas are published and validated directly as JSON Schema. The runtime does not round-trip generated tool schemas through Zod; exact mode is byte-shape equivalent to the generated canonical schema.
  • Three resources expose the live API overview, the package's OpenAPI snapshot, and the compact MCP public contract.
  • choose_tokenlab_model and build_tokenlab_request prompts guide agents to use live model truth and preserve native endpoint shapes.
  • Server instructions tell clients to confirm billable or destructive operations and treat external model/API output as untrusted content.

Run

npm install

npm start

Install from npm:

npx -y @tokenlabai/mcp-server

Agent-assisted installers can follow llms-install.md for a 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 credentialed API 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 public catalog and pricing operations. Set TOKENLAB_API_KEY when credentialed tools should call TokenLab APIs. Generated tools preserve the OpenAPI request shape for OpenAI-compatible and native endpoints instead of flattening them into a shared prompt format.

Multipart operations accept local file paths. Small image and audio responses are returned as native MCP content; larger or other binary responses are written to TOKENLAB_ARTIFACT_DIR and returned as a path with MIME type and byte count.

Sync and Async Media Results

Video, music, and 3D creation tools always return an async task. Image generation and editing may return a completed result or an async task depending on the selected model and request.

Media tools preserve the complete TokenLab API response under response and add a normalized delivery summary:

{

"delivery": { "mode": "async", "task_id": "ldtask_...", "status": "pending", "poll_url": "/v1/tasks/ldtask_...", "terminal": false, "next_tool": "get_task_status" }, "response": {} }

Use delivery.mode instead of assuming all image requests are synchronous. For async tasks, call get_task_status with { "id": delivery.task_id } until delivery.terminal is true. Completion is determined from status, not from an optional progress field.

Environment

  • TOKENLAB_API_BASE: optional, defaults to https://api.tokenlab.sh
  • TOKENLAB_API_KEY: optional; required for text inference, multimodal generation, async task, embedding, rerank, decision, and translation tools
  • TOKENLAB_MCP_TOOL_PROFILE: optional, catalog, core (default), or full
  • TOKENLAB_MCP_SCHEMA_MODE: optional, portable, exact, or strict; defaults to the selected profile's tested mode
  • TOKENLAB_REQUEST_TIMEOUT_MS: optional request timeout in milliseconds, defaults to 120000
  • TOKENLAB_MCP_MAX_FILE_BYTES: optional maximum local upload size per file, defaults to 104857600 (100 MiB)
  • TOKENLAB_MCP_INLINE_BYTES: optional maximum binary/JSON response size returned inline, defaults to 2097152 (2 MiB)
  • TOKENLAB_ARTIFACT_DIR: optional output directory for non-inline response artifacts, defaults to the OS temp directory under tokenlab-mcp

For Chat Completions image inputs, prefer byte-accurate data URLs such as data:image/png;base64,.... If an MCP caller labels a recognized PNG, JPEG, WebP, or GIF payload as application/octet-stream, the server corrects that generic MIME before forwarding. An unrecognized generic binary payload is rejected locally with a precise input error.

Contract Sync

The public OpenAPI document is the API contract source. The overlay contains only MCP-specific choices: profile exposure, stable tool aliases, secret omission, non-streaming constraints, content-type variants, async task semantics, and the compact public projection consumed by the website and docs gates.

npm run contract:source-check # compare the snapshot with the live canonical OpenAPI (read-only)

npm run contract:check # check generated output against the checked-in snapshot (offline) npm run contract:sync # fetch OpenAPI and regenerate; refuses dirty outputs or a stale branch npm test # compile profiles and test exact/portable/strict schemas, provider conversion, routing, tasks, files, and binary output

Always run git pull --ff-only before a manual contract sync. contract:check proves internal consistency only; contract:source-check proves freshness against the canonical source. The scheduled Sync TokenLab OpenAPI contract workflow runs the full write sequence and commits only the verified OpenAPI snapshot and generated manifest to main. A failed fetch, stale local branch, dirty generated output, generation error, schema compilation error, or test leaves the tracked contract unchanged.

MCP Registry Metadata

This repository includes server.json for the official MCP Registry.

Release metadata:

  • npm package: @tokenlabai/mcp-server@0.6.44
  • MCP registry name: io.github.hedging8563/tokenlab
  • package.json.mcpName: io.github.hedging8563/tokenlab

For a new release:

  1. Bump the matching versions in package.json, package-lock.json, and server.json.
  2. Push a matching tag such as v0.6.0.
  3. 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.

Security

Use the catalog profile when no credentialed tools are needed. Keep TOKENLAB_API_KEY in the local MCP client's secret environment, enable human confirmation for billable and destructive calls, and review tool annotations before granting persistent approval. Do not send a TokenLab API key to an untrusted hosted MCP server.

Each API request sends X-TokenLab-Client-Source: mcp- (for example mcp-create_image) so TokenLab can count which tools are used. Reading the tokenlab://api/overview resource sends mcp-resource-api_overview. The header holds only the lowercased tool name, cut to 64 characters, and no tool arguments.

Links

  • Website: https://tokenlab.sh/mcp
  • Docs: https://tokenlab.sh/docs
  • OpenAPI: https://tokenlab.sh/docs/openapi.json
  • Model catalog: https://api.tokenlab.sh/v1/models
  • Skills: https://github.com/hedging8563/tokenlab-skills

Webhook management

Use the full profile to configure workspace webhooks with list_webhooks, create_webhook, get_webhook, update_webhook, delete_webhook, rotate_webhook_secret, test_webhook and list_webhook_deliveries.

Set `TOKENLAB_MANAGEMENT

Solo se muestra el principio; lee el resto en el repo

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