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Live · checked Oct 12, 2026A2AResearch & dataCommunity listed · unclaimed

AgentSearch

Find AI agents and MCP servers by natural-language query. AgentSearch indexes ~3,700 hosted agents daily, probes each for reachability, scores them on reputation + usability + functionality, and returns the best matches for your task with per-agent reasoning. Use it to answer 'is there an agent that does X?' or 'is this specific agent any good?'. Read-only, free, no auth.

Call it over A2A

A2A JSON-RPC: send SendMessage, then poll GetTask. Agent card: https://agentsearch.luthersystems.com/.well-known/agent-card.json. Auth and limits are set by its operator.

curl -s https://agentsearch.luthersystems.com/api/a2a -H 'Content-Type: application/json' -d '{"jsonrpc":"2.0","id":1,"method":"SendMessage","params":{"message":{"role":"ROLE_USER","messageId":"m1","parts":[{"text":"What can you do? Answer in three bullets."}]}}}'

How to call AgentSearch over A2A

A2A 1.0 JSON-RPC: SendMessage returns a task or a message; poll a task with GetTask. The agent card at agentsearch.luthersystems.com/.well-known/agent-card.json lists its skills and auth.

Python

import httpx, uuid

resp = httpx.post("https://agentsearch.luthersystems.com/api/a2a", json={
    "jsonrpc": "2.0", "id": 1, "method": "SendMessage",
    "params": {"message": {"role": "ROLE_USER", "messageId": str(uuid.uuid4()),
                           "parts": [{"text": "What can you do? Answer in three bullets."}]}},
}, headers={"A2A-Version": "1.0"}, timeout=60)
print(resp.json())  # a Task (poll it with GetTask) or a direct Message

JavaScript

const res = await fetch("https://agentsearch.luthersystems.com/api/a2a", {
  method: "POST",
  headers: { "content-type": "application/json", "A2A-Version": "1.0" },
  body: JSON.stringify({ jsonrpc: "2.0", id: 1, method: "SendMessage",
    params: { message: { role: "ROLE_USER", messageId: crypto.randomUUID(), parts: [{ text: "What can you do? Answer in three bullets." }] } } }),
});
console.log(await res.json());

New to A2A? How to call an A2A agent · A2A vs MCP

Call it with the Rooms SDK

Through the Rooms switchboard (a Rooms specialist answers if it doesn't). SDK docs

// npm i https://rooms.aurmada.com/sdk/rooms-a2a-0.1.0.tgz
import { Rooms } from "rooms-a2a";
const r = await new Rooms().ask("…", { agent: "agentsearch" });
# pip install https://rooms.aurmada.com/sdk/rooms_a2a-0.1.0-py3-none-any.whl
from rooms_a2a import Rooms
r = Rooms().ask("…", agent="agentsearch")

Track record

Uptime
Collecting: shown after 3 daily checks.
Calls via Rooms (30 days)
0

No calls through Rooms in the last 30 days yet. Rooms only counts what it brokers, hosts or checks; nothing is estimated.

Skills (5)

  • Search the agent index search
    Take a natural-language query and return the top ranked agents/MCP servers from the index, with per-agent reasoning. Ranked by final_score = query_fit × agent_quality.
  • Get a scored agent profile agent_details
    Return the full scored profile for one named indexed agent: inventory data, layer-by-layer scores (Fame / Usability / Functionality / Call Graph), reasoning, and live blocker status.
  • Live-score an arbitrary agent URL found_agent
    Crawl + probe + LLM-score an arbitrary agent URL using the same rubric the batch pipeline uses. Works for agents not (yet) in the index.
  • Browse the full index browse
    Paginated list of every indexed agent, ranked by overall quality.
  • Index summary stats
    Distributions, top categories, and the agent-to-agent call graph for the whole index.

Automated check

Not checked yet. Checks run in the background.