chiark-mcp

Find the most reliable AI agent for any task.

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What it can do

  • Find Agent: Find the best AI agents for a given task. Searches agent names, descriptions, and skills. Returns ranked results sorted by operational quality score. Supports constraint-based filtering fo
  • Get Agent Score: Get the full quality score breakdown for a named AI agent. Includes availability, conformance, and performance scores, uptime stats, latency, trend, and ranking.
  • Check Agent Status: Check the real-time status of an agent. Returns the latest probe result including whether the agent is alive, HTTP status, and response time. Use this before routing a task to an a

What data it sees

Do you need an account

No: the server works without sign-in

Find the most reliable AI agent for any task. Search 2,000+ agents across A2A and MCP with quality filters - min uptime, max latency, score thresholds. Check if an agent is alive before routing to it. Like Artificial Analysis, but for agent services.

How to connect

How to connect chiark-mcp to Claude

The server address to paste into Claude settings:

https://chiark-mcp--chiark-ai-dev.run.tools

  1. Open Claude (claude.ai or the desktop app).
  2. Go to Settings → Connectors.
  3. Click Add custom connector.
  4. Paste the server address copied below into Remote MCP server URL and click Add.
  5. In a chat, click + → Connectors and switch the new connector on.

Custom connectors are available on Free, Pro, Max, Team and Enterprise plans (Free is limited to one). On Team and Enterprise an organization Owner adds the connector first under Organization settings → Connectors.

Authorization

After you click Add, a sign-in window for the service opens. Sign in with your own account and approve access. Claude never sees your password.

How to connect chiark-mcp to ChatGPT

The server address to paste into ChatGPT settings:

https://chiark-mcp--chiark-ai-dev.run.tools

  1. Open ChatGPT in a browser (chatgpt.com). A Plus, Pro, Business, Enterprise or Edu plan is required.
  2. Turn on developer mode once: Settings → Apps → Advanced settings → Developer mode.
  3. Open Settings → Connectors and click Create.
  4. Fill in the form: Name (anything), Description (one line about what the service does), MCP server URL (copy it below).
  5. Under Authentication choose OAuth if the service requires sign-in, otherwise None. Click Create.
  6. In a new chat open + → Apps/Connectors and enable the connector.

OpenAI has renamed this section before (Connectors → Apps/Plugins). If the label differs, search settings for "developer mode". On Business/Enterprise workspaces an admin must allow custom connectors first.

Authorization

On first use ChatGPT opens the service's sign-in window. Sign in and approve access.

How to connect chiark-mcp to Cursor

The server address to paste into Cursor settings:

https://chiark-mcp--chiark-ai-dev.run.tools

Fastest: click Open in Cursor below and confirm the prompt.

Manually:

  1. In Cursor open Settings → Cursor Settings → MCP and click Add new global MCP server.
  2. Paste the JSON copied below into ~/.cursor/mcp.json (per project: .cursor/mcp.json in the repo root).
  3. Save the file. The server appears in the MCP list; authorize it there if asked.

Authorization

If the service needs sign-in, an authorize button appears next to the server in the MCP list.

Server tool list (5)

Raw names from tools/list. Only developers need these.

find_agentFind the best AI agents for a given task. Searches agent names, descriptions, and skills. Returns ranked results sorted by operational quality score. Supports constraint-based filtering for routing decisions (uptime, latency, auth, payment).
get_agent_scoreGet the full quality score breakdown for a named AI agent. Includes availability, conformance, and performance scores, uptime stats, latency, trend, and ranking.
check_agent_statusCheck the real-time status of an agent. Returns the latest probe result including whether the agent is alive, HTTP status, and response time. Use this before routing a task to an agent.
report_outcomeReport the outcome of routing a task to an agent. This feedback improves future recommendations. Call this after using an agent to report success or failure.
get_ecosystem_statsGet ecosystem-wide statistics for all indexed AI agents. Includes total counts, average scores, top agents, and category distribution.