mcp-forge

Generate production-ready MCP servers from any source: OpenAPI/Swagger specs, GraphQL APIs, codebases, CLI tools and websites.

Community: Submitted by a user or imported; check the owner before granting accessDegradedAPI key requiredGlobalFreeRead-only

What it can do

  • Get Health: Check the health status of the mcp-forge API.
  • Validate License: Check whether the license key is valid and retrieve plan identity (valid, reason, plan, tenant_id, valid_until). Always returns 200 — use reason when valid=false. For usage numbers,
  • Get Quota: Check quota usage: plan, sources used, slots remaining and expiry date. Call this before any generate_from_* tool to warn the user if the quota is near the limit.

What data it sees

Do you need an account

An API key from the service settings is required

Generate production-ready MCP servers from any source: OpenAPI/Swagger specs, GraphQL APIs, codebases, CLI tools and websites. Powered by LLM enrichment. Requires a mcp-forge license key.

How to connect

How to connect mcp-forge to Claude

The server address to paste into Claude settings:

https://mcp-forge--alexis-platon1307.run.tools

  1. Open Claude (claude.ai or the desktop app).
  2. Go to Settings → Connectors.
  3. Click Add custom connector.
  4. Paste the server address copied below into Remote MCP server URL and click Add.
  5. In a chat, click + → Connectors and switch the new connector on.

Custom connectors are available on Free, Pro, Max, Team and Enterprise plans (Free is limited to one). On Team and Enterprise an organization Owner adds the connector first under Organization settings → Connectors.

Authorization

After you click Add, a sign-in window for the service opens. Sign in with your own account and approve access. Claude never sees your password.

How to connect mcp-forge to ChatGPT

The server address to paste into ChatGPT settings:

https://mcp-forge--alexis-platon1307.run.tools

  1. Open ChatGPT in a browser (chatgpt.com). A Plus, Pro, Business, Enterprise or Edu plan is required.
  2. Turn on developer mode once: Settings → Apps → Advanced settings → Developer mode.
  3. Open Settings → Connectors and click Create.
  4. Fill in the form: Name (anything), Description (one line about what the service does), MCP server URL (copy it below).
  5. Under Authentication choose OAuth if the service requires sign-in, otherwise None. Click Create.
  6. In a new chat open + → Apps/Connectors and enable the connector.

OpenAI has renamed this section before (Connectors → Apps/Plugins). If the label differs, search settings for "developer mode". On Business/Enterprise workspaces an admin must allow custom connectors first.

Authorization

On first use ChatGPT opens the service's sign-in window. Sign in and approve access.

How to connect mcp-forge to Cursor

The server address to paste into Cursor settings:

https://mcp-forge--alexis-platon1307.run.tools

Fastest: click Open in Cursor below and confirm the prompt.

Manually:

  1. In Cursor open Settings → Cursor Settings → MCP and click Add new global MCP server.
  2. Paste the JSON copied below into ~/.cursor/mcp.json (per project: .cursor/mcp.json in the repo root).
  3. Save the file. The server appears in the MCP list; authorize it there if asked.

Authorization

If the service needs sign-in, an authorize button appears next to the server in the MCP list.

Server tool list (8)

Raw names from tools/list. Only developers need these.

get_healthCheck the health status of the mcp-forge API.
validate_licenseCheck whether the license key is valid and retrieve plan identity (valid, reason, plan, tenant_id, valid_until). Always returns 200 — use reason when valid=false. For usage numbers, call get_quota instead.
get_quotaCheck quota usage: plan, sources used, slots remaining and expiry date. Call this before any generate_from_* tool to warn the user if the quota is near the limit.
generate_from_openapiGenerate a production-ready MCP server from an OpenAPI/Swagger spec URL. Server-side parsing — provide only the spec URL.
generate_from_graphqlGenerate an MCP server from a GraphQL endpoint via server-side introspection. Works on dev/staging APIs with introspection enabled.
generate_from_websiteGenerate an MCP server by analyzing API patterns on a website (HTML + JavaScript). Best for server-rendered pages; SPAs may yield partial results.
generate_asyncAdvanced: submit a generation job with a pre-parsed DiscoveryPayload (source_type + base_url). Use generate_from_openapi / generate_from_graphql / generate_from_website for automatic server-side parsing instead.
get_job_statusCheck the status of an async generation job. Call this after generate_from_* or generate_async returns a job_id (generation was still running after ~37s).