Connect an agent

The whole map is callable over the Model Context Protocol at https://agenticweb.wiki/mcp (Streamable HTTP, no login, read-only). Any MCP client can use it; the snippets below are copy-paste configurations for the common ones. The server card is at /mcp/server-card.

Tools

Limits: probe 30 calls a minute per client, has 120, and one origin is probed at most 10 times a minute across all clients. Everything else is unmetered. Only public hostnames are fetched; private and loopback addresses are refused before any request.

Grok (xAI API)

The Responses API takes a remote MCP tool by URL. require_approval is not supported there, which suits a read-only server. Restrict with allowed_tools if you want fewer tool definitions in context (the native SDK calls it allowed_tool_names).

curl https://api.x.ai/v1/responses \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $XAI_API_KEY" \
  -d '{
  "model": "grok-4.7",
  "input": [{"role": "user", "content": "What should I implement so agents can pay per request for my API? Then probe example.com."}],
  "tools": [{
    "type": "mcp",
    "server_url": "https://agenticweb.wiki/mcp",
    "server_label": "agenticweb",
    "server_description": "Reference map of agentic-web standards with a live probe",
    "allowed_tools": ["ask", "search", "get", "define", "probe", "has", "changes", "stale"]
  }]
}'

from xai_sdk import Client
from xai_sdk.chat import user
from xai_sdk.tools import mcp

client = Client()  # XAI_API_KEY from the environment
chat = client.chat.create(model="grok-4.7", tools=[mcp(server_url="https://agenticweb.wiki/mcp", server_label="agenticweb")])
chat.append(user("Which standards let an agent prove its identity to my server? Order them."))
print(chat.sample().content)

Grok Build (CLI)

grok mcp add --transport http agenticweb https://agenticweb.wiki/mcp

Or in ~/.grok/config.toml: [mcp_servers.agenticweb] with url = "https://agenticweb.wiki/mcp". Add --scope project to ship it with a repo. Grok Build also reads .cursor/mcp.json and .mcp.json.

Grok (grok.com)

1. Open grok.com/connectors.
2. Click New Connector, then Custom.
3. Enter https://agenticweb.wiki/mcp. No authentication is asked for.

Grok then discovers the tools and uses them when a question is about agent standards or a specific origin.

Claude

Claude Code, from a terminal:

claude mcp add --transport http agenticweb https://agenticweb.wiki/mcp

Claude.ai and Claude Desktop: Settings → Connectors → Add custom connector → paste the URL.

Cursor, Windsurf, Zed and other editors

Most editors read a JSON file of MCP servers (Cursor: .cursor/mcp.json in the project or ~/.cursor/mcp.json):

{
  "mcpServers": {
    "agenticweb": { "url": "https://agenticweb.wiki/mcp" }
  }
}

OpenAI

ChatGPT connectors (developer mode) take the same URL. The Responses API:

"tools": [{
  "type": "mcp",
  "server_label": "agenticweb",
  "server_url": "https://agenticweb.wiki/mcp",
  "require_approval": "never"
}]

Anything else

It is plain JSON-RPC over HTTPS. List the tools without a session:

curl -s https://agenticweb.wiki/mcp \
  -H 'content-type: application/json' -H 'accept: application/json, text/event-stream' \
  -d '{"jsonrpc":"2.0","id":1,"method":"tools/list","params":{}}'

The same data is also served as files under /data/ (CC BY 4.0), with an OpenAPI description, and every page has a Markdown twin for agents that read rather than call (llms.txt).

Skill for coding agents

A SKILL.md for Claude Code, Cursor and Grok Build that uses this server to audit a project and generate its agent-facing files (llms.txt, ard.json, server card). Copy it into .claude/skills/agentic-web/ or the equivalent.

Questions that work well

• "What should I implement so agents can pay per request for my API?" → ask
• "Does example.com publish anything for agents?" → probe
• "What changed in agent standards since 1 October?" → changes
• "Which ACP do people mean?" → search, then get