mcpbeat

Agenttune MCP Server

com.agent-tune/agenttune
answering

Agenttune is answering right now. Last checked 12 min ago. It exposes 3 tools. Last commit 10 Jun 2026.

Personality tuning files for AI agents: 43 MIT-licensed tunings + 5 inline personality tests.

Uptime history 40 hours of history
40 hours agonow
100.0%
Uptime 24h
91 of 91 checks
3
Tools
read from the server
126 ms
Response time
average over 24h
0
Stars
last commit 10 Jun 2026

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 12 min ago.

run in your terminal
claude mcp add agenttune --transport http https://agent-tune.com/mcp
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "agenttune": {
      "url": "https://agent-tune.com/mcp"
    }
  }
}
~/.codex/config.toml
[mcp_servers.agenttune]
url = "https://agent-tune.com/mcp"
.cursor/mcp.json
{
  "mcpServers": {
    "agenttune": {
      "url": "https://agent-tune.com/mcp"
    }
  }
}
.vscode/mcp.json
{
  "mcpServers": {
    "agenttune": {
      "url": "https://agent-tune.com/mcp"
    }
  }
}

Available tools 3

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

test
get_test_spec
Fetch a complete, self-contained test specification as Markdown: full item list, response scale, scoring algorithm, and the mapping from result to tuning slug. Administer the items to the user inline (bulk-paste is fine), score per the algorithm, then call get_tuning. Tests: mbti (OEJTS, 32 items, ~5 min), enneagram (OEPS, 36, ~5 min), disc (ODAT, 16, ~3 min), attachment (ECR-R, 36, ~5 min), big-five (IPIP-50, 50, ~7 min → maps to ocean files).
tuning
get_tuning
Fetch one tuning file as Markdown with YAML front-matter. The front-matter is machine-readable install metadata (install.surfaces = where to write it per agent surface, verify.probe = how to confirm it took effect); the body is the behavioral tuning to load as system-prompt content. MIT licensed.
tunings
list_tunings
Catalog of all 43 AgentTune personality tuning files (slug, code, name, one-line blurb), optionally filtered by system. Use it to resolve a user's personality type to the right slug before calling get_tuning.

Endpoints

URLTransportStateLatencyChecked
https://agent-tune.com/mcp streamable-http answering 159 ms 12 min ago

Agenttune — questions

Answers built from our own checks of this server.

What can Agenttune do?
It exposes 3 tools, read directly from the server on our last check. Among them: get_test_spec, get_tuning, list_tunings. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →
Is Agenttune working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 91 of 91 checks got a reply (100.0%), average response time 126 ms. The bar chart above shows every period we have measured.
How do I connect Agenttune?
Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does Agenttune need an API key?
No. Agenttune completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 3 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is Agenttune?
It answers our handshake in 126 ms on average, which is faster than 78% of all working MCP servers we measure. That puts it in the quick quarter of the ecosystem. The comparison comes from our own checks across the whole registry, every 15 minutes.
Is Agenttune open source?
Yes — it is published under the MIT licence and 0 stars on GitHub. The source link is on this page, so you can read exactly what it does with your data before you connect it.