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Genlobe MCP Server

MCP Server for GenLobe SaaS API - Provides AI assistants with comprehensive API documentation for building frontend applications

Node.jsstdio

context tax

pending

security

pending

cold start

pending

freshness

pending

Our reading of Genlobe, from the data

Genlobe is a documentation MCP server.

We haven't measured its tool list yet, so its token cost is unknown.

It runs locally on your machine over stdio.

Install Genlobe MCP server

Install in Claude Code

claude mcp add genlobe -- npx -y @genlobe/mcp-server

Freshness

Not enough public signals yet to judge maintenance.

  1. Last commit (default branch)

    no data · GitHub

  2. Latest release

    no data · GitHub

  3. Package published

    no data · npm/PyPI

  4. Registry entry updated

    no data · official registry

How it compares in Documentation

Against the most-starred documentation servers we index. Token cost is per model turn, measured from each server's live tool list.

ServerStarsToolsTokens / turnFreshnessRuns
Genlobe (this)——not measured—local
Context763,26421,188Activelocal + hosted
Context763,264—not measuredActive—
Docs28,892—not measuredActivelocal
React Spectrum15,963—not measuredActivelocal
Docs12,599—not measuredActivelocal
All documentation MCP servers

FAQ

›How do I install the Genlobe MCP server in Claude Code?

Run: claude mcp add genlobe -- npx -y @genlobe/mcp-server. For Cursor, VS Code, Claude Desktop and Windsurf, use the install tabs above.

›Does Genlobe require an API key?

No required environment variables are declared in its published metadata.

›Can I use Genlobe as a remote (hosted) MCP server?

No hosted endpoint is published; it runs locally over stdio.

›Is Genlobe in the official MCP registry?

No. It was indexed from npm.

Sources and method

Package registry (npm / PyPI)
listed
Last checked against all sources
2026-10-19

The description, packages and links come from the maintainer's own published metadata. Token cost, security signals, freshness and the reading above are MCPSkillHub's own measurements; see the methodology. Spot an error? Request a correction or claim the listing.

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