MCPHero Meta-MCP Generator

MCPHero Meta-MCP Let your agent build its own tools.

CommunityOnlineNo sign-inGlobalFreeCan modify data

What it can do

  • Wizard Create Session: Create a new wizard session to start gathering requirements. Creates an MCP server in gathering_requirements status with an empty chat history. Use wizard_chat to iterate on req
  • Wizard Chat: Send a message in the wizard requirements-gathering chat. Iterate on server requirements with the AI until it indicates readiness (is_ready=True). Then call wizard_start with the server_i
  • Wizard Start: Transition from requirements gathering to tool suggestion. The server must be in gathering_requirements state and the AI must have indicated readiness (wizard_chat returned is_ready=True

What data it sees

Do you need an account

No: the server works without sign-in

MCPHero Meta-MCP

Let your agent build its own tools. MCPHero Meta-MCP exposes an AI-powered wizard pipeline as MCP tools — describe what you need in plain English, and the agent generates, deploys, and hosts a production MCP server with the exact tools required. Once built, the agent calls those tools on every future run instead of re-generating context from scratch.

Why it matters: Every time an agent calls an API, parses a database, or runs a calculation, it burns tokens on schemas, error handling, and output parsing. MCPHero flips this — a 50,000-token integration becomes a 50-token tool call on every subsequent run. Your agent doesn't just use tools, it creates them and keeps them forever.

What you get

  • 15 MCP tools covering the full lifecycle: create sessions, describe requirements in natural language, review AI-suggested tools, configure env vars, set auth, generate code, and deploy — all from inside your agent
  • Self-hosted MCP servers with bearer token auth, ready to connect to any MCP client
  • No CLI required — works entirely through the MCP protocol (OAuth 2.1 handled by your client)

Quick start

Add to your MCP client config:

{
  "mcpServers": {
    "mcphero": {
      "url": "https://api.mcphero.app/mcp/meta/mcp"
    }
  }
}

Then ask your agent: "Build me an MCP server for my PostgreSQL database"

Tools

Tool What it does
wizard_create_session Start a new server build session
wizard_chat Describe requirements in natural language
wizard_start Begin AI tool suggestion
wizard_list_tools Review suggested tools
wizard_refine_tools Iterate on tool definitions
wizard_submit_tools Confirm tool selection
wizard_suggest_env_vars Get env var suggestions
wizard_list_env_vars Review suggested env vars
wizard_refine_env_vars Iterate on env vars
wizard_submit_env_vars Submit env var values
wizard_set_auth Generate bearer token
wizard_generate_code Generate server code
wizard_regenerate_tool_code Regenerate a single tool
wizard_deploy Deploy and get server URL
wizard_state Poll async operation status

Learn more

How to connect

How to connect MCPHero Meta-MCP Generator to Claude

The server address to paste into Claude settings:

https://meta--mcphero.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 MCPHero Meta-MCP Generator to ChatGPT

The server address to paste into ChatGPT settings:

https://meta--mcphero.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 MCPHero Meta-MCP Generator to Cursor

The server address to paste into Cursor settings:

https://meta--mcphero.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 (15)

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

wizard_create_sessionCreate a new wizard session to start gathering requirements. Creates an MCP server in gathering_requirements status with an empty chat history. Use wizard_chat to iterate on requirements with the AI, then call wizard_start once the AI indicates readiness. Args: customer_id: Optional customer UUID (for org API keys with multiple customers).
wizard_chatSend a message in the wizard requirements-gathering chat. Iterate on server requirements with the AI until it indicates readiness (is_ready=True). Then call wizard_start with the server_id to kick off tool suggestion. Args: server_id: Server UUID (from wizard_create_session). message: Your message to the AI.
wizard_startTransition from requirements gathering to tool suggestion. The server must be in gathering_requirements state and the AI must have indicated readiness (wizard_chat returned is_ready=True). Tool suggestion runs in the background – poll with wizard_state to check progress. Args: server_id: Server UUID (from wizard_create_session). description: Optional description override (uses chat-derived value if omitted). technical_details: Optional technical details override.
wizard_list_toolsList current tools for a server in the wizard. Args: server_id: Server UUID.
wizard_refine_toolsRefine suggested tools with feedback. Triggers LLM refinement in the background. Poll wizard_state for progress. Args: server_id: Server UUID. feedback: Feedback for the LLM to refine tools. tool_ids: Optional list of tool UUIDs to refine. Omit to refine all.
wizard_submit_toolsSubmit the selected tools to proceed to env vars step. Unselected tools will be deleted. Args: server_id: Server UUID. selected_tool_ids: List of tool UUIDs to keep.
wizard_suggest_env_varsTrigger environment variable suggestion via LLM. Args: server_id: Server UUID.
wizard_list_env_varsList current environment variables for a server. Args: server_id: Server UUID.
wizard_refine_env_varsRefine suggested environment variables with feedback. Triggers LLM refinement in the background. Args: server_id: Server UUID. feedback: Feedback for the LLM to refine env vars.
wizard_submit_env_varsSubmit environment variable values. Provide values as a mapping of variable UUID to its value. Args: server_id: Server UUID. values: Dict of env var UUID -> value, e.g. {"uuid1": "sk-abc123"}.
wizard_set_authSet up bearer token authentication for the server. Generates and returns a Bearer token. Args: server_id: Server UUID.
wizard_generate_codeTrigger code generation for all tools. Runs in the background. Poll wizard_state to check progress. Args: server_id: Server UUID.
wizard_regenerate_tool_codeRegenerate code for a single tool (synchronous, waits for LLM). Args: server_id: Server UUID. tool_id: Tool UUID to regenerate code for.
wizard_deployDeploy the MCP server to the shared runtime. Args: server_id: Server UUID.
wizard_stateGet the current wizard state for a server. Use this to poll for background operation completion (tool suggestion, code generation, etc.). Args: server_id: Server UUID.