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agent-tools (x402 + MCP + A2A directory)

by AgentTools-Cloudversion 0.4.0i★ –iComputer or cloud
Registry nameio.github.AgentTools-Cloud/agent-tools-mcp

Install

Overview

Description from the maker (original English)

Discover x402 services, MCP servers and A2A agents by intent — agent-tools.cloud directory.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on the maker’s server: what you ask it goes through their server.
  • The registry lists no key to fill in.

You need

  • Runs in the cloudNothing to install; it connects over the internet
  • PyPIPython’s uv installed (for the uvx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Works in Claude on the web, desktop and mobile:

  1. Open Settings → Connectors
  2. Press Add custom connector
  3. Paste the address below and press Add
  4. If it asks you to sign in, sign in with the maker
SettingsConnectors1+ Add2https://…3
https://agent-tools.cloud/mcp-discovery/

Or run it on your computer

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "agent-tools": {
      "command": "uvx",
      "args": [
        "agent-tools-mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add --transport http agent-tools https://agent-tools.cloud/mcp-discovery/

Or run it on your computer

claude mcp add agent-tools -- uvx agent-tools-mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "agent-tools": {
      "url": "https://agent-tools.cloud/mcp-discovery/"
    }
  }
}

Or run it on your computer

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "agent-tools": {
      "command": "uvx",
      "args": [
        "agent-tools-mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "agent-tools": {
      "type": "http",
      "url": "https://agent-tools.cloud/mcp-discovery/"
    }
  }
}

Or run it on your computer

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "agent-tools": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "agent-tools-mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

ChatGPT connects only to servers on the internet:

  1. Open ChatGPT on the web → Settings → Connectors (Apps)
  2. Press Create or Add (some plans need Developer mode under Advanced first)
  3. Paste the address below, give it a name and save
  4. If it asks you to sign in, sign in with the maker
SettingsConnectors1+ Create2https://…3
https://agent-tools.cloud/mcp-discovery/

Menu names can differ slightly by plan and over time.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

We have not read this server’s tool list yet; we check endpoints in rotation.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account AgentTools-Cloud, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • … Not checked yet

    Endpoint responds

    Not checked yet; we check endpoints in rotation

  • … Not checked yet

    Sign-in with OAuth

    Not checked yet; we check endpoints in rotation

  • … Not checked yet

    No hidden instructions in tool descriptions

    Not checked yet; we read the tool list when we check the endpoint

Compared with others in Otheri

  • More stars than 0% of the other 32461 servers in this category
  • Published to the registry more recently than 81% of the other 32461 servers in this category
  • Basic checks equal to or better than 100% of the other 32461 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is agent-tools (x402 + MCP + A2A directory) safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

Either way works: install it on your computer or connect to the cloud version.

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.4.0) reached the registry 8 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, dotnet-mcp

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

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Remote Desktop Commander

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Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

Runs in the cloud★ 211Updated yesterday
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dotnet-mcp

by Skymly

MCP server for .NET symbols, XAML, source generators, and restricted workspace edit

Runs on your computerUpdated today
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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

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

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 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

Production runs behind nginx (vhost: agent-tools.cloud).

cd <install-dir>

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](LICENSE) — 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](agent-tools-mcp/LICENSE), 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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