Connect to the hosted Aegis MCP

Endpoint

https://aegis-skills.vercel.app/api/mcp

It speaks MCP over Streamable HTTP. It is stateless (no sessions) and needs no authentication. Requests over 64 KB are rejected. The server offers the three read-only tools list_skills, get_skill and get_skill_phase (see Aegis MCP server).

Claude.ai

Settings → Connectors → Add custom connector. Name it Aegis and paste this URL:

https://aegis-skills.vercel.app/api/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings → turn on Developer mode. Create a connector, paste this URL and choose "No authentication".

https://aegis-skills.vercel.app/api/mcp

Claude Code

claude mcp add --transport http aegis https://aegis-skills.vercel.app/api/mcp

Cursor

Add to ~/.cursor/mcp.json:

{
  "mcpServers": {
    "aegis": {
      "url": "https://aegis-skills.vercel.app/api/mcp"
    }
  }
}

VS Code

Add to .vscode/mcp.json:

{
  "servers": {
    "aegis": {
      "type": "http",
      "url": "https://aegis-skills.vercel.app/api/mcp"
    }
  }
}

Other clients

Any client that speaks MCP Streamable HTTP works. No authentication, no session. Use the URL above.

Check it works

curl -s -X POST https://aegis-skills.vercel.app/api/mcp \
  -H "content-type: application/json" \
  -H "accept: application/json, text/event-stream" \
  -d '{"jsonrpc":"2.0","id":1,"method":"tools/list","params":{}}'

The reply lists three tools: list_skills, get_skill and get_skill_phase.

Privacy

The server writes no application logs, runs no analytics and has no accounts. Vercel's standard platform request logs apply.

Prefer local?

You can run the same server on your own machine over stdio. See Aegis MCP server.