agent-tools (x402 + MCP + A2A directory) MCP server
online · 100% uptimeio.github.AgentTools-Cloud/agent-tools-mcp·v0.4.0·1 starsDiscover x402 services, MCP servers and A2A agents by intent — agent-tools.cloud directory.
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1 stars34 downloads/wk
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agent-tools (x402 + MCP + A2A directory) tools
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How agent-tools (x402 + MCP + A2A directory) compares
Against every graded AI and agents MCP server, from our own scans and uptime checks. Updated after each scan run.
- Safety score
- 90/100
- higher than 85% of 4,460 AI and agents servers
- Uptime
- 100%
- of our recent checks; the typical remote AI and agents server answers 100%
- Response time
- 177 ms
- faster than 71% of 2,331 AI and agents servers
- GitHub stars
- 1
- more than 50% of 2,711 AI and agents servers
- Downloads a week
- 34
- more than 23% of 1,538 AI and agents servers with a package
Release history: 3 versions in the registry since 2026-06-04, latest 2026-10-29, typically one every 147 days.
Install agent-tools (x402 + MCP + A2A directory) in Claude Code, Cursor or VS Code
claude mcp add --transport http agent-tools-mcp https://agent-tools.cloud/mcp-discovery/
What the publisher says
From the agent-tools (x402 + MCP + A2A directory) repository's README, as published. We do not edit it. Read it on GitHub
mcpserver — agent-tools.cloud directory + MCP discovery
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
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 matchreason and a confidence score. askservices uses the same retrieval-first / LLM-rerank flow as /api/v1/ask.
scanmcpsafety 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 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
Shortened. The full README is on GitHub.
Nothing above is checked by us. What we check is on the safety report.
agent-tools (x402 + MCP + A2A directory): common questions
- Is agent-tools (x402 + MCP + A2A directory) MCP server safe?
- Yes, by our scan: it is graded A (90/100). Read the agent-tools (x402 + MCP + A2A directory) safety report
- How do I install agent-tools (x402 + MCP + A2A directory)?
- It runs remotely at agent-tools.cloud. Add it to Claude Code, Cursor, VS Code or Claude Desktop with the snippets above, or call it through the mcp.market gateway without installing anything.
- Does agent-tools (x402 + MCP + A2A directory) need an API key?
- Not as far as the registry entry and our scan can tell: no credentials are declared or required.
- Is agent-tools (x402 + MCP + A2A directory) maintained?
- The last commit was 42 days ago (2026-09-23). The latest release is v0.4.0.
- Is agent-tools (x402 + MCP + A2A directory) up?
- 100% of our last 28 checks got an answer. We check remote servers about four times a day.
- What can I use instead of agent-tools (x402 + MCP + A2A directory)?
- Servers from other publishers that do the same job: FireCMS Cloud MCP server, IWE (iwe.md) MCP server and Alibaba Cloud DashScope — Qwen MCP server.
- How does agent-tools (x402 + MCP + A2A directory) compare with other AI and agents MCP servers?
- safety score 90/100 (higher than 85% of 4,460 AI and agents servers); uptime 100% (of our recent checks; the typical remote AI and agents server answers 100%); response time 177 ms (faster than 71% of 2,331 AI and agents servers). Full comparison.
Alternatives to agent-tools (x402 + MCP + A2A directory)
Same job from other publishers: the closest match first, then the best rated.
- FireCMS CloudManage FireCMS Cloud from an AI agent: Firestore data, collections, schemas and users.not reviewedEstablishedA
- IWE (iwe.md)Markdown knowledge base as agent memory. Runs against the notes directory it is started in.not reviewedEstablishedA
- Alibaba Cloud DashScope — QwenAlibaba Cloud DashScope MCP: Qwen chat, embeddings, and model discovery on your own account.not reviewedEstablishedB