# agenttune MCP server

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

## Links
- Registry page: https://www.getdrio.com/mcp/com-agent-tune-agenttune
- Repository: https://github.com/bernardjhuang/agenttune
- Website: https://agent-tune.com

## Install
- Endpoint: https://agent-tune.com/mcp
- Auth: Not captured

## Setup notes
- Remote endpoint: https://agent-tune.com/mcp

## Tools
- list_tunings (List all personality 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. Endpoint: https://agent-tune.com/mcp
- get_tuning (Get a tuning file (paste-ready Markdown)) - 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. Endpoint: https://agent-tune.com/mcp
- get_test_spec (Get a personality test spec (administer inline)) - 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). Endpoint: https://agent-tune.com/mcp

## Resources
Not captured

## Prompts
Not captured

## Metadata
- Owner: com.agent-tune
- Version: 1.0.0
- Runtime: Streamable Http
- Transports: HTTP
- License: Not captured
- Language: Not captured
- Stars: Not captured
- Updated: Jun 10, 2026
- Source: https://registry.modelcontextprotocol.io