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Explorer/MCP/chiark-ai-dev/chiark-mcp
REMOTE

chiark-mcp

chiark-ai-dev/chiark-mcp

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.

5 tools available ↓
The Journeyman
A reasonable amount of history and nothing concerning in the scan.
Time indexed (5mo)
5toolsRemote/ HTTP5moindexed
100% uptime · 304ms avgChecked Aug 13, 2026
Quality Score
57/95
Established
Risk Score
0/100
Clean
▸How is this calculated?
Quality Breakdown
Tenure13.5/20
141 days indexed
Capability16/25
Tools: 4/13 (5 tools)
Description: 5/5 ✓
Endpoint: 7/7 ✓
Adoption2.4/25
Use count: 2.4/20 (3 uses)
Multi-registry: 0/5 (1 registry)
Reliability25/25
Currently live: 10/10 ✓
Uptime history: 15/15 100% (64/64 checks)
Security scan: 0 pts in v1.0; ready to weight when coverage improves
Risk
0— Clean
No signals detected.
The scanner shows
5 tools. Nothing caught our attention.
First indexed Mar 28, 2026
Server Profile
⚙
Tools catalogued
5
5 tools available. Full list below.
☁
Hosting
Remote / HTTP
Runs on the internet. No access to your filesystem, SSH keys, or environment variables.
○
Registry presence
Not verified
Not yet verified by the Official MCP Registry.
●
Liveness
100%
Based on 48 checks. Average response: 304ms.
Publisher Verification
Not yet verified by the Official MCP Registry.
Endpoint
https://chiark-mcp--chiark-ai-dev.run.tools
Tools (5)
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.

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Indexed from Smithery · Updates nightlyView on Smithery →