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Agent Tools Mcp

Agent Tools Mcp

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agent-tools.cloudAI & Agents1Updated today

About Agent Tools Mcp

Agent Tools Mcp is the MCP discovery service for the agent-tools.cloud directory. It helps agents and developers find services, MCP servers, and A2A agents by intent, and includes safety scanning of MCP server descriptions and tool documentation.

Key features

  1. 01Search directory entries by intent
  2. 02Find and inspect MCP servers
  3. 03Find A2A agents
  4. 04Retrieve categories and statistics
  5. 05Scan MCP server descriptions for risks

Use cases

  1. 01Find callable services for a task
  2. 02Locate relevant MCP servers or A2A agents
  3. 03Check MCP server descriptions before connecting

MCP support

It exposes directory discovery tools over MCP, including search, details, categories, statistics, and MCP safety scans. The hosted service provides the full tool set; the standalone stdio package includes core search tools only.

Configuration

Remote servers need no local install. Pick your client, then copy the config or install in one click.

Endpointhttps://agent-tools.cloud/mcp-discovery/
Copy install command
Claude CodeTerminal
Cursor.cursor/mcp.json
VS Code.vscode/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json

Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.

Packages
pypiagent-tools-mcp0.2.0

Tools

11
ParameterTypeRequiredDescription
chainanyNo
top_kintegerNo
intentanyNo
has_mcpbooleanNo
categoryanyNo
max_price_usdanyNo
min_confidenceanyNo

Details

From the project README

mcpserver — agent-tools.cloud directory + MCP discovery

smithery badge

The server that powers agent-tools.cloud — an open directory of x402 paid services with a free MCP discovery endpoint. Also listed on Smithery.

Note (2026-05-25): the previously hosted paid Qwen3.6 relay and the paid vertical endpoints (signal / onchain / defi / portfolio) were retired after 30 days of zero external conversions. This repository now serves the directory site and the free MCP discovery server only.

What this serves today

PathAuthPurpose
GET / (host = agent-tools.cloud)freeDirectory site (search / browse)
GET /api/v1/searchfreeFaceted service search
POST /api/v1/askfree, rate-limitedLLM-ranked recommendations grounded in directory candidates
GET /api/v1/services/{slug}freeService card with payment, call and quality metadata
GET /api/v1/categories, /api/v1/statsfreeDirectory facets and aggregate stats
POST /api/v1/submitfree, rate-limitedPending service submission with dedupe
POST /mcp-discovery/freeMCP streamable-http discovery server
POST /a2afreeA2A JSON-RPC agent (message/send): directory search + MCP safety scan
GET /healthzfreeLiveness
GET /v1/modelsfreeUpstream model listing (read-only)
GET /.well-known/agent-tools.jsonfreeAgent discovery manifest
GET /.well-known/x402freex402 v0.4 self-description (free-only)
GET /.well-known/mcp.jsonfreeMCP self-description

The MCP discovery server is also published as a standalone PyPI package: agent-tools-mcp (repo).

MCP discovery tools

search(intent, top_k=5, category=None, max_price_usd=None, has_mcp=None)
ask_services(intent, top_k=5, category=None, max_price_usd=None, use_llm=True)
get(slug)
list_categories()
stats()
search_mcp_servers(intent, top_k=5, chain=None, require_healthy=False)
get_mcp_server(slug)
search_a2a_agents(intent, top_k=5, x402_only=False)
search_resources(intent, protocol=None, top_k=10)
scan_mcp_safety(endpoint_url, name="", description="", tools_text="")
register(url, name=None, description=None, mcp_url=None, category=None)

search accepts natural-language intent and ranks by FTS5 + popularity + health. Each result carries a match_reason and a confidence score. ask_services uses the same retrieval-first / LLM-rerank flow as /api/v1/ask.

scan_mcp_safety vets an MCP server (by endpoint URL) for malware / prompt-injection lures before you connect: an already-indexed server returns our latest stored verdict, an unknown one is probed live, scanned, and added to the directory. The verdict comes from deterministic static rules (no code execution) over the server's advertised name + description + tool docs. Rules cover pipe-to-shell / base64-eval / PowerShell install cradles, bare-IP payload hosts, prompt-injection phrasing, and MCP tool-poisoning coercion — "always call this tool first", "before using any other tool you must…", hidden <IMPORTANT> instructions, "list all API keys / include secrets in your response", and coercion to read & forward .key/.pem/.ssh/.env files. Source-code-oriented rules (SQL/command/code injection) are intentionally not applied to natural-language descriptions to avoid false positives. Each live call also runs a frontier-LLM second opinion as an advisory dimension. It is also exposed as an A2A skill on POST /a2a. The hosted server carries the full tool set above; the stdio agent-tools-mcp PyPI package ships the core search tools only.

Deploy

Currently deployed on latex-tools behind nginx (vhost: agent-tools.cloud).

cd /opt/mcpserver
sudo git pull
sudo systemctl restart mcpserver

systemd units live in deploy/:

  • mcpserver.service — the ASGI app (uvicorn, 127.0.0.1:9100)
  • agent-tools-crawl.{service,timer} — 6h directory crawler
  • agent-tools-health.{service,timer} — endpoint health checks

Config

See .env.example. Required:

  • UPSTREAM_BASE_URL / UPSTREAM_API_KEY — used by /v1/models
  • AGENT_TOOLS_ASK_BASE_URL / AGENT_TOOLS_ASK_API_KEY / AGENT_TOOLS_ASK_MODEL — LLM backend for /api/v1/ask
  • AGENT_TOOLS_SAFETY_BASE_URL / AGENT_TOOLS_SAFETY_API_KEY / AGENT_TOOLS_SAFETY_MODEL — optional override for the scan_mcp_safety advisory LLM (falls back to the AGENT_TOOLS_ASK_* backend)
  • AGENT_TOOLS_DB_PATH — SQLite path for the directory
  • AGENT_TOOLS_ASK_RATE_LIMIT_PER_MINUTE / AGENT_TOOLS_ASK_RATE_LIMIT_PER_DAY — public ask abuse limits
  • METRICS_BEARER_TOKEN — optional remote access token for /metrics; without it metrics are local-only

Smoke test

# Liveness
curl https://agent-tools.cloud/healthz

# Directory stats
curl https://agent-tools.cloud/api/v1/stats

# Intent-level service recommendation
curl -s -X POST https://agent-tools.cloud/api/v1/ask \
  -H 'content-type: application/json' \
  -d '{"query":"find a weather API that accepts x402","limit":2}'

# Service card
curl https://agent-tools.cloud/api/v1/services/weather-hugen-tokyo-scan

# MCP discovery handshake
curl -s -X POST https://agent-tools.cloud/mcp-discovery/ \
  -H 'content-type: application/json' \
  -H 'accept: application/json, text/event-stream' \
  -d '{"jsonrpc":"2.0","id":1,"method":"initialize",
       "params":{"protocolVersion":"2025-06-18","capabilities":{},
                 "clientInfo":{"name":"smoke","version":"1"}}}'

# Retired paid path -> 404
curl -s -o /dev/null -w '%{http_code}\n' -X POST \
  https://agent-tools.cloud/v1/chat/completions \
  -H 'content-type: application/json' \
  -d '{"model":"Qwen/Qwen3.6-35B-A3B","messages":[{"role":"user","content":"hi"}]}'
# => 404

License

The agent-tools.cloud server and directory code in this repository is licensed under the PolyForm Noncommercial License 1.0.0 — you may use, modify, and share it for any noncommercial purpose; commercial use is not permitted.

The standalone MCP client package in agent-tools-mcp/ (published to PyPI as agent-tools-mcp) is licensed separately under Apache-2.0, so any agent — including commercial ones — can install and call the hosted service freely.

Using the hosted service at agent-tools.cloud is governed by its terms of service, not this code license.

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