Tokenlab MCP Server vs MCPHub

A side-by-side look at the Tokenlab MCP Server and MCPHub MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.

Tokenlab MCP Server logoTokenlab MCP ServerAggregators · Local subprocess (stdio)TokenLab AI gateway MCP server for model and pricing discovery, OpenAI-compatible Chat Completions, and native Responses, Anthropic Messages, and Gemini inference. Catalog tools require no API key; inference tools use an optional TokenLab key.64GoodAuth: api key requiredMCPHub logoMCPHubAggregators · Local subprocess (stdio)Self-hosted MCP gateway that aggregates, routes and manages multiple MCP servers behind one endpoint.43FairAuth: not declared

Verdict: choose Tokenlab MCP Server for aggregators work as a local process; choose MCPHub for aggregators as a local process. You can also run both side by side in one mcpServers block.

Which MCP server should you choose?

Tokenlab MCP Server logoChoose Tokenlab MCP Server when

  • You need dedicated capabilities in the Aggregators domain.
  • You prefer a local stdio subprocess transport.
  • Its auth model fits you: API key required.
  • You have the keys it needs: TOKENLAB_API_BASE, TOKENLAB_API_KEY, TOKENLAB_MCP_TOOL_PROFILE, TOKENLAB_MCP_SCHEMA_MODE, TOKENLAB_REQUEST_TIMEOUT_MS, TOKENLAB_MCP_MAX_FILE_BYTES, TOKENLAB_MCP_INLINE_BYTES, TOKENLAB_ARTIFACT_DIR.
  • You want tools like cancel_task, create_3d_model, create_anthropic_message.
Explore Tokenlab MCP Server

MCPHub logoChoose MCPHub when

  • You need dedicated capabilities in the Aggregators domain.
  • You prefer a local stdio subprocess transport.
Explore MCPHub

Feature & specification comparison

Rows where the two servers differ are marked.

SpecTokenlab MCP Server logoTokenlab MCP ServerMCPHub logoMCPHub
CategoryAggregatorsAggregators
Quality signal64/100 · Good43/100 · Fair
Install commandConfirmedConfirmed
TransportLocal subprocess (stdio)Local subprocess (stdio)
AuthAPI key requiredNot declared
PricingFreeFree
Required env varsTOKENLAB_API_BASETOKENLAB_API_KEYTOKENLAB_MCP_TOOL_PROFILETOKENLAB_MCP_SCHEMA_MODETOKENLAB_REQUEST_TIMEOUT_MSTOKENLAB_MCP_MAX_FILE_BYTESTOKENLAB_MCP_INLINE_BYTESTOKENLAB_ARTIFACT_DIRNone listed
Verified ownerCommunity listingCommunity listing
GitHub stars12,572
Directory activity 3 views 0 installs 0 upvotes 1 views 0 installs 0 upvotes
Tools31Not listed

Tools & capabilities

Tokenlab MCP Server tools 31

  • cancel_taskCancel async task Cancels a queued asynchronous task when cancellation is supported for the selected task. Cancellation currently supports queued Seedance video tasks (`seedance-1.5-pro`, `seedance-2.0`, and `seedance-2.0-fast`) while they are still waiting to run. Tasks that are already processing, completed, failed, expired, or unsupported are not cancelled.
  • create_3d_modelCreate 3D model generation task Creates a 3D model generation task using Tripo3D. Returns a task ID for polling.
  • create_anthropic_messageCreate message (Anthropic-compatible) Creates a model response using Anthropic's native request format. Supports Claude models with vision and streaming. **Authentication:** Use `x-api-key` header or `Authorization: Bearer` header.
  • create_chat_completionCreate an OpenAI-compatible chat completion. For inline image_url data URLs, declare the byte-accurate image MIME type. The MCP boundary corrects recognized PNG, JPEG, WebP, and GIF payloads declared as application/octet-stream and rejects unrecognized generic binary image payloads before sending a billable request.
  • create_embeddingCreate embeddings Creates an embedding vector representing the input text.
  • create_gemini_contentGenerate content (Gemini-compatible) Generates content using the native Gemini GenerateContent shape. This route is exposed only when the model details advertise Gemini requests and a same-protocol route is currently available. ProtoJSON lowerCamelCase and original proto snake_case field names are preserved. Unknown fields are forwarded best-effort and support is determined by the selected provider. **Authentication:** Use `?key=` query parameter, `x-goog-api-key` header, or `Authorization: Bearer` header.
  • create_imageCreate image Creates an image given a prompt.
  • create_image_fileCreate image Creates an image given a prompt.
  • create_multimodal_embeddingCreate multimodal embeddings Creates embeddings for multimodal input items. Text input is generally available; image input may require feature enablement.
  • create_musicCreate music generation task Creates a music generation task using Suno. Returns a task ID for polling.
  • create_responseCreate response (OpenAI Responses API) Creates a response using the native OpenAI Responses API shape. The model details must advertise the Responses request format and a same-protocol route must be currently available; model names and providers do not imply availability. Unknown request fields are forwarded on a best-effort basis and remain subject to the selected provider's support.
  • create_speechCreate speech Generates audio from the input text (Text-to-Speech).
  • +19 more on the listing page

MCPHub tools

No tool names declared yet. Check the project README from the listing page.

Ready-to-paste client configs

Paste either block (or both) into your client config, e.g. claude_desktop_config.json or ~/.cursor/mcp.json. We only show a config when the install command is confirmed.

Tokenlab MCP Server

mcpServers (Claude Desktop / Cursor)
{
  "mcpServers": {
    "hedging8563-tokenlab-mcp-server": {
      "command": "npx",
      "args": [
        "-y",
        "@tokenlabai/mcp-server"
      ],
      "env": {
        "TOKENLAB_API_BASE": "YOUR_TOKENLAB_API_BASE_HERE",
        "TOKENLAB_API_KEY": "YOUR_TOKENLAB_API_KEY_HERE",
        "TOKENLAB_MCP_TOOL_PROFILE": "YOUR_TOKENLAB_MCP_TOOL_PROFILE_HERE",
        "TOKENLAB_MCP_SCHEMA_MODE": "YOUR_TOKENLAB_MCP_SCHEMA_MODE_HERE",
        "TOKENLAB_REQUEST_TIMEOUT_MS": "YOUR_TOKENLAB_REQUEST_TIMEOUT_MS_HERE",
        "TOKENLAB_MCP_MAX_FILE_BYTES": "YOUR_TOKENLAB_MCP_MAX_FILE_BYTES_HERE",
        "TOKENLAB_MCP_INLINE_BYTES": "YOUR_TOKENLAB_MCP_INLINE_BYTES_HERE",
        "TOKENLAB_ARTIFACT_DIR": "YOUR_TOKENLAB_ARTIFACT_DIR_HERE"
      }
    }
  }
}

MCPHub

mcpServers (Claude Desktop / Cursor)
{
  "mcpServers": {
    "mcphub-2": {
      "command": "npx",
      "args": [
        "-y",
        "time-mcp"
      ]
    }
  }
}

Frequently asked questions

Tokenlab MCP Server is categorized under Aggregators and uses a local stdio subprocess. MCPHub belongs to Aggregators and uses a local stdio subprocess. Pick Tokenlab MCP Server for aggregators work and MCPHub for aggregators.

Copy the mcpServers block from the config section on this page into your client's config (for example claude_desktop_config.json or ~/.cursor/mcp.json), then fully restart the client.

Tokenlab MCP Server is listed as free. Auth: api key required. MCPHub is listed as free. If a server needs environment variables such as API keys, define them under the env key in your client's MCP config.

Yes. MCP clients support multiple servers: add hedging8563-tokenlab-mcp-server and mcphub-2 as separate keys in the same mcpServers object, and your assistant will call tools from either one.

On AllMCPs, Tokenlab MCP Server has a quality signal of 64/100 (Good) with 3 views, 0 installs and 1 GitHub stars. MCPHub has 43/100 (Fair) with 1 views, 0 installs and 2,572 GitHub stars.