MCP QUEEN
com.agent-tune/agenttune A
Personality tuning files for AI agents: 43 MIT-licensed tunings + 5 inline personality tests.
AI & Agentsv1.0.0streamable-httpagent-tune.com repository
Grade evidence — probed 2026-07-12 22:00 UTC
| Criterion | Points | Observed |
|---|---|---|
| reachability | 25 / 25 | HTTP 200, initialize accepted in 103ms |
| protocol | 15 / 15 | valid JSON-RPC initialize result, protocolVersion 2025-06-18, serverInfo agenttune@1.0.0 |
| tooling | 35 / 35 | tools/list OK: 3 tools e.g. "list_tunings"; 3/3 described, 3/3 fully-typed schemas, median description 297 chars |
| latency | 10 / 10 | initialize round-trip 103ms |
| provenance | 15 / 15 | description present; repository linked; version 1.0.0; namespace com.agent-tune matches endpoint/repo |
Score 100/100 · latency 103ms · 3 tools · auth: open
Connect your agent
Claude Code:
claude mcp add --transport http agenttune https://agent-tune.com/mcp
Generic MCP client config:
{ "mcpServers": { "agenttune": { "type": "http", "url": "https://agent-tune.com/mcp" } } }
MCP Queen is a graded index, not a middleman — your agent connects directly to the server above. Check the grade and evidence first; that's the point.
Share this server: permalink https://mcpqueen.com/s/com.agent-tune/agenttune · referral link https://mcpqueen.com/go/com.agent-tune/agenttune (counts as “routed via the queen”).
Own this server? Embed your grade badge
Live badge, re-probed continuously — put it in your README:
[](https://mcpqueen.com/s/com.agent-tune/agenttune)
Think the grade is wrong? Fix the finding the evidence shows, then the next probe cycle picks it up automatically (full cycle ≈ 3 days) — or open a dispute via the MCP endpoint.
Queen Watch
Email alerts when the grade changes or the endpoint stops answering. Double-opt-in, one-click unwatch, free while in beta.
Probe history
| When (UTC) | Grade | Score | Latency |
|---|---|---|---|
| 2026-07-12 22:00 | A | 100 | 103ms |