AgentSearch
agentsearch.luthersystems.com
· Luther Systems
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.
agentsearch.luthersystems.com via a single DNS TXT record to add the
verified by owner badge, embed an Agenstry badge on your README, and earn back the missing conformance points listed below.
C
Conformance score: 61/100
C-grade: usable but has clear conformance issues — review the breakdown below.
click to expand breakdown ▾
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agent-card.json changed within the last 7 days. We track these so downstream callers can react.
Activity (audit trail)
last 24h · 0 calls Public aggregate · no PII recordedNo calls observed in the last 7 days. Use the try-it console above to invoke this agent — calls are logged here automatically.
Try it
Send a message to this agent live. Your prompt is proxied through Agenstry.
Endpoints
| Agent card | https://agentsearch.luthersystems.com/.well-known/agent-card.json |
| Provider | https://luthersystems.com |
| Docs | https://github.com/luthersystems/agentsearch |
Skills · 5 declared · mapped to canonical taxonomy
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_q…
Return the full scored profile for one named indexed agent: inventory data, layer-by-layer scores (Fame / Usability / Functionality / Call Graph), reasoning, an…
Crawl + probe + LLM-score an arbitrary agent URL using the same rubric the batch pipeline uses. Works for agents not (yet) in the index.
Paginated list of every indexed agent, ranked by overall quality.
Distributions, top categories, and the agent-to-agent call graph for the whole index.
Health · last 4 probes
Similar agents embedding-nearest
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Markdown / HTML snippets
[](https://agenstry.com/agents/agentsearch.luthersystems.com) [](https://agenstry.com/agents/agentsearch.luthersystems.com) [](https://agenstry.com/agents/agentsearch.luthersystems.com) [](https://agenstry.com/agents/agentsearch.luthersystems.com)
Audit-grade evidence bundle
JSON snapshot for vendor-review files. Add ?sign=true for a JWS-signed envelope verifiable against
our JWKS. See the methodology.
Raw agent card JSON
{
"protocolVersion": "0.3.0",
"name": "AgentSearch",
"description": "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.",
"url": "https://agentsearch.luthersystems.com/api/a2a",
"version": "0.1.0",
"provider": {
"organization": "Luther Systems",
"url": "https://luthersystems.com"
},
"documentationUrl": "https://github.com/luthersystems/agentsearch",
"homepage": "https://agentsearch.luthersystems.com",
"license": {
"spdx_id": "MIT",
"name": "MIT License",
"url": "https://github.com/luthersystems/agentsearch/blob/main/LICENSE"
},
"pricing": {
"model": "free",
"rateLimit": "best-effort, ~60 requests per minute per IP"
},
"securitySchemes": {
"public": {
"type": "none",
"description": "All endpoints are publicly readable, no auth required."
}
},
"capabilities": {
"streaming": false,
"pushNotifications": false,
"stateTransitionHistory": false
},
"additionalInterfaces": [
{
"transport": "jsonrpc",
"url": "https://agentsearch.luthersystems.com/api/a2a"
},
{
"transport": "mcp-streamable-http",
"url": "https://agentsearch.luthersystems.com/api/mcp"
},
{
"transport": "mcp-stdio",
"url": "npx://-y/@luthersystems/agentsearch"
}
],
"defaultInputModes": [
"text/plain",
"application/json"
],
"defaultOutputModes": [
"application/json"
],
"skills": [
{
"id": "search",
"name": "Search the agent index",
"description": "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 \u00d7 agent_quality.",
"tags": [
"search",
"discovery",
"ranking",
"agent-discovery",
"mcp-discovery"
],
"examples": [
"find an agent that reads invoice PDFs",
"what MCP server lets me control a browser",
"agents for crypto price lookup"
],
"inputModes": [
"text/plain",
"application/json"
],
"outputModes": [
"application/json"
]
},
{
"id": "agent_details",
"name": "Get a scored agent profile",
"description": "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.",
"tags": [
"details",
"profile",
"scoring"
],
"examples": [
"details for upstash/context7",
"how does taylorwilsdon/google_workspace_mcp score",
"show me the Fame breakdown for a2aproject/A2A"
],
"inputModes": [
"text/plain",
"application/json"
],
"outputModes": [
"application/json"
]
},
{
"id": "found_agent",
"name": "Live-score an arbitrary agent URL",
"description": "Crawl + probe + LLM-score an arbitrary agent URL using the same rubric the batch pipeline uses. Works for agents not (yet) in the index.",
"tags": [
"scoring",
"live",
"probe",
"agent-evaluation"
],
"examples": [
"score https://github.com/example/new-mcp-server",
"evaluate https://some-new-agent.com against the query 'edit calendar events'",
"is https://acme.com/agent/api any good?"
],
"inputModes": [
"application/json"
],
"outputModes": [
"application/json"
]
},
{
"id": "browse",
"name": "Browse the full index",
"description": "Paginated list of every indexed agent, ranked by overall quality.",
"tags": [
"browse",
"list",
"rank"
],
"examples": [
"top 50 agents by overall score",
"page 5 of the index",
"list everything ranked"
],
"inputModes": [
"text/plain",
"application/json"
],
"outputModes": [
"application/json"
]
},
{
"id": "stats",
"name": "Index summary stats",
"description": "Distributions, top categories, and the agent-to-agent call graph for the whole index.",
"tags": [
"stats",
"rollups",
"graph"
],
"examples": [
"how many agents are reachable right now?",
"what are the top capability clusters?",
"license breakdown across the index"
],
"inputModes": [
"text/plain",
"application/json"
],
"outputModes": [
"application/json"
]
}
]
}