agenttune

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

Sollte ich dies verwenden

Qualität und Sicherheit

A
Qualität der Beschreibung
100%
Vollständigkeit des Schemas
78%
Qualität der Benennung
100%
Risiko der Vergiftung
100%
Übereinstimmung der Berechtigungen
100%
Einhaltung des Protokolls
100%

Basierend auf einer automatisierten Analyse der Tool-Definitionen und der Einhaltung des Protokolls.

Kontextkosten

~1,274Tokens (Tool-Definitionen)
~1.7 KBTypische Antwortgröße
Mittlere Auswirkung auf die Aufmerksamkeit (1.00% von 128k Kontext)

Dies ist die ungefähre Anzahl der Tokens, die jedes Mal verbraucht werden, wenn die Tools des Servers in den Kontext eines Modells geladen werden. Höhere Werte verringern die Aufmerksamkeit, die für andere Aufgaben verfügbar ist.

Installieren

Installation mit einem Klick

Fügen Sie dies Ihrer Datei `claude_desktop_config.json` hinzu:

{
  "mcpServers": {
    "agenttune": {
      "url": "https://agent-tune.com/mcp"
    }
  }
}

Remote-Endpunkte

https://agent-tune.com/mcpstreamable-http

Was es kann

Tool-Inventar

Tools (6)

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🟢get_free_tools

Return the free browser tools catalog, destination registry, and local JavaScript API documentation. No personal data is accepted. Download the functions to process instructions locally; this call does not run models or install preferences.

Eingabe-Schema

{
  "type": "object",
  "properties": {},
  "additionalProperties": false
}

Ausgabe-Schema

{
  "type": "object",
  "properties": {
    "version": {
      "type": "string"
    },
    "tools": {
      "type": "array",
      "items": {
        "type": "object"
      }
    }
  },
  "required": [
    "version",
    "tools"
  ]
}
🟢list_tunings(system)

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.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "system": {
      "type": "string",
      "enum": [
        "mbti",
        "enneagram",
        "disc",
        "attachment",
        "ocean"
      ],
      "description": "Optional filter: one of the five personality systems."
    }
  },
  "additionalProperties": false
}

Ausgabe-Schema

{
  "type": "object",
  "properties": {
    "count": {
      "type": "integer"
    },
    "license": {
      "type": "string"
    },
    "next_step": {
      "type": "string"
    },
    "tunings": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "system": {
            "type": "string"
          },
          "slug": {
            "type": "string"
          },
          "code": {
            "type": "string"
          },
          "name": {
            "type": "string"
          },
          "blurb": {
            "type": "string"
          },
          "canonical_url": {
            "type": "string"
          },
          "body_url": {
            "type": "string"
          },
          "revision": {
            "type": "string"
          },
          "evidence_status": {
            "type": "string"
          }
        },
        "required": [
          "system",
          "slug",
          "canonical_url",
          "body_url",
          "revision",
          "evidence_status"
        ]
      }
    }
  },
  "required": [
    "count",
    "license",
    "next_step",
    "tunings"
  ]
}
🟢get_tuning(system, slug)

Fetch one tuning file as Markdown with YAML front-matter. The front-matter links to the shared platform registry and installation protocol. structuredContent.body is the preference text; metadata stays separate. Confirmation of saved text is distinct from evaluation of behavior. MIT licensed.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "system": {
      "type": "string",
      "enum": [
        "mbti",
        "enneagram",
        "disc",
        "attachment",
        "ocean"
      ],
      "description": "Personality system."
    },
    "slug": {
      "type": "string",
      "description": "Type slug, lowercase. mbti: 4-letter code (intj). enneagram: N-name (5-investigator). disc: letter-name (d-dominance). attachment: style (secure). ocean: dimension-pole (openness-high). Unsure? Call list_tunings."
    }
  },
  "required": [
    "system",
    "slug"
  ],
  "additionalProperties": false
}

Ausgabe-Schema

{
  "type": "object",
  "properties": {
    "system": {
      "type": "string"
    },
    "slug": {
      "type": "string"
    },
    "canonical_url": {
      "type": "string"
    },
    "body_url": {
      "type": "string"
    },
    "revision": {
      "type": "string"
    },
    "evidence_status": {
      "type": "string"
    },
    "body": {
      "type": "string"
    },
    "metadata_markdown": {
      "type": "string"
    },
    "install_protocol": {
      "type": "string"
    }
  },
  "required": [
    "system",
    "slug",
    "canonical_url",
    "body_url",
    "revision",
    "evidence_status",
    "body",
    "metadata_markdown",
    "install_protocol"
  ]
}
🟢get_test_spec(test)

Fetch a complete questionnaire specification for mbti (32 items), enneagram (36), disc (16), attachment (36) or big-five (50). All five are available, with exact instrument/version IDs, response anchors and strict scoring instructions. The first four preserve the legacy AgentTune adaptations; instrument-specific source terms apply. Administer only when requested, keep responses local, preserve ties, and let users review any suggested communication preferences before installation.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "test": {
      "type": "string",
      "enum": [
        "mbti",
        "enneagram",
        "disc",
        "attachment",
        "big-five"
      ],
      "description": "Which test instrument."
    }
  },
  "required": [
    "test"
  ],
  "additionalProperties": false
}

Ausgabe-Schema

{
  "type": "object",
  "properties": {
    "status": {
      "type": "string"
    },
    "available": {
      "type": "boolean"
    },
    "instrument_id": {
      "type": [
        "string",
        "null"
      ]
    },
    "instrument_version": {
      "type": [
        "string",
        "null"
      ]
    },
    "test": {
      "type": "string"
    },
    "canonical_url": {
      "type": "string"
    },
    "markdown_url": {
      "type": "string"
    },
    "body": {
      "type": "string"
    },
    "revision": {
      "type": "string"
    },
    "evidence_status": {
      "type": "string"
    }
  },
  "required": [
    "status",
    "available",
    "instrument_id",
    "instrument_version",
    "test",
    "canonical_url",
    "markdown_url",
    "body",
    "revision",
    "evidence_status"
  ]
}
🟢list_resources(kind, query)

Search the versioned catalog of setup guides, templates, protocols and research. Returns canonical URLs, Markdown URLs, revisions and evidence status.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "kind": {
      "type": "string",
      "enum": [
        "guide",
        "research"
      ]
    },
    "query": {
      "type": "string"
    }
  },
  "additionalProperties": false
}

Ausgabe-Schema

{
  "type": "object",
  "properties": {
    "version": {
      "type": "string"
    },
    "resources": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "id": {
            "type": "string"
          },
          "kind": {
            "type": "string"
          },
          "url": {
            "type": "string"
          },
          "markdown": {
            "type": "string"
          },
          "revision": {
            "type": "string"
          },
          "evidence_status": {
            "type": "string"
          }
        },
        "required": [
          "id",
          "kind",
          "url",
          "markdown",
          "revision",
          "evidence_status"
        ]
      }
    }
  },
  "required": [
    "version",
    "resources"
  ]
}
🟢get_resource(id)

Retrieve one page-specific Markdown resource by the exact ID from list_resources; includes provenance and evidence status.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "id": {
      "type": "string"
    }
  },
  "required": [
    "id"
  ],
  "additionalProperties": false
}

Ausgabe-Schema

{
  "type": "object",
  "properties": {
    "id": {
      "type": "string"
    },
    "url": {
      "type": "string"
    },
    "markdown": {
      "type": "string"
    },
    "revision": {
      "type": "string"
    },
    "evidence_status": {
      "type": "string"
    },
    "body": {
      "type": "string"
    }
  },
  "required": [
    "id",
    "url",
    "markdown",
    "revision",
    "evidence_status",
    "body"
  ]
}

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