Documentation MCP

These docs are served over the Model Context Protocol. Point an AI assistant at the endpoint and it can search and read every page here, so its answers come from the current documentation rather than from whatever it happened to learn.

https://docs.edges.run/mcp

This is a documentation server. It reads these pages and nothing else — it does not call the Edges API, does not run actions, and never sees your API key. To teach an agent how to call the API, use Agent Skills.

What it can do

Tool	What it does
Search	Finds relevant passages across the documentation and returns them with links
Browse	Navigates the docs as a filesystem, so an assistant can read a whole page rather than a snippet
Send feedback	Reports a page that is wrong, out of date or unclear straight back to us

The feedback tool is the useful one to know about. If your assistant works from these docs and hits something that doesn’t add up, it can tell us — that reaches the same place a support message would, and it is the fastest way to get a page fixed.

Connecting it

Claude
Cursor
VS Code

Open Settings → Connectors, choose Add custom connector, and enter:

https://docs.edges.run/mcp

In a conversation, attach the connector from the attachments menu.

Press Cmd + Shift + P, search for Open MCP settings, and add the server to mcp.json:

{
  "mcpServers": {
    "Edges Docs": {
      "url": "https://docs.edges.run/mcp"
    }
  }
}

Create .vscode/mcp.json in your project:

{
  "servers": {
    "Edges Docs": {
      "type": "http",
      "url": "https://docs.edges.run/mcp"
    }
  }
}

No key, no account, nothing to enable on your side — the documentation is public and so is the server.

When it helps

It is worth connecting when you are writing code against the API and want the assistant to check a parameter, a limit or an error label rather than invent one. Questions it answers well:

Which limit does this action consume, and what is the ceiling?
What does this error_label mean, and how long should I wait?
Which execution mode should I use for this volume?
What changed in the API last month?

It does not know anything about your workspace — your runs, your identities, your credit balance. Those live behind your API key and are read through the API itself.

MCP or agent skills?

Both connect Edges to an AI tool, and they do different jobs.