chiark-mcp

Find the most reliable AI agent for any task.

От сообществаРаботаетБез входаГлобальныйБесплатноТолько чтение

Что умеет

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

Какие данные видит

Нужен ли аккаунт

Не нужен: сервер работает без входа

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.

Список инструментов сервера (5)

Технические названия из tools/list. Нужны только разработчикам.

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 for routing decisions (uptime, latency, auth, payment).
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 agent.
report_outcome	Report 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_stats	Get ecosystem-wide statistics for all indexed AI agents. Includes total counts, average scores, top agents, and category distribution.