ViewsMeet Pick + Predict

Read frozen Atlas cells, answer private quizzes, score Mini-IPIP vectors, and cast enum ballots.

Sollte ich dies verwenden

Qualität und Sicherheit

A
Qualität der Beschreibung
94%
Vollständigkeit des Schemas
69%
Qualität der Benennung
94%
Risiko der Vergiftung
100%
Übereinstimmung der Berechtigungen
100%
Einhaltung des Protokolls
100%

Befunde (1)

  • LOWTool 'get_personality_perception_challenge' name length outside 3-30 rangein get_personality_perception_challenge

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

Kontextkosten

~3,037Tokens (Tool-Definitionen)
~1.6 KBTypische Antwortgröße
Erhebliche Auswirkung auf die Aufmerksamkeit (2.37% 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": {
    "participate": {
      "url": "https://viewsmeet.com/mcp"
    }
  }
}

Remote-Endpunkte

https://viewsmeet.com/mcpstreamable-http

Was es kann

Tool-Inventar

Tools (14)

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🟢get_daily_question_set

Return today's public, curated either/or question set. No private challenge lookup.

Eingabe-Schema

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

Ausgabe-Schema

{
  "type": "object",
  "additionalProperties": true
}
⚪request_ballot_challenge(packId, mode, target)

Issue one bounded challenge handle for a known pack, mode, and target. This does not enumerate challenges.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "packId": {
      "type": "string",
      "pattern": "^[a-z0-9]+(?:-[a-z0-9]+)*$",
      "maxLength": 64
    },
    "mode": {
      "type": "string",
      "enum": [
        "daily",
        "friend",
        "group",
        "public"
      ]
    },
    "target": {
      "type": "string",
      "enum": [
        "human_host",
        "agent_host",
        "human_cohort",
        "agent_cohort",
        "group_majority"
      ]
    }
  },
  "required": [
    "packId",
    "mode",
    "target"
  ],
  "additionalProperties": false
}

Ausgabe-Schema

{
  "type": "object",
  "additionalProperties": true
}
🟡cast_ballot(schemaVersion, challengeId, packId, packVersion, nonce, ...)

Submit enum-only self and prediction vectors for one issued challenge and nonce. Provenance is server-assigned.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "schemaVersion": {
      "type": "string",
      "const": "1.0"
    },
    "challengeId": {
      "type": "string",
      "pattern": "^[A-Za-z0-9_-]{8,128}$"
    },
    "packId": {
      "type": "string",
      "pattern": "^[a-z0-9]+(?:-[a-z0-9]+)*$",
      "maxLength": 64
    },
    "packVersion": {
      "type": "integer",
      "minimum": 1,
      "maximum": 1000000
    },
    "nonce": {
      "type": "string",
      "pattern": "^[A-Za-z0-9_-]{16,128}$"
    },
    "selfChoices": {
      "type": "array",
      "minItems": 0,
      "maxItems": 64,
      "items": {
        "type": "string",
        "enum": [
          "a",
          "b"
        ]
      }
    },
    "predictionChoices": {
      "type": "array",
      "minItems": 0,
      "maxItems": 64,
      "items": {
        "type": "string",
        "enum": [
          "a",
          "b"
        ]
      }
    }
  },
  "required": [
    "schemaVersion",
    "challengeId",
    "packId",
    "packVersion",
    "nonce",
    "selfChoices",
    "predictionChoices"
  ],
  "additionalProperties": false
}

Ausgabe-Schema

{
  "type": "object",
  "additionalProperties": true
}
🟢get_ballot_receipt(receiptId)

Retrieve one receipt by its exact opaque identifier. Receipt enumeration is not available.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "receiptId": {
      "type": "string",
      "pattern": "^[A-Za-z0-9_-]{8,128}$"
    }
  },
  "required": [
    "receiptId"
  ],
  "additionalProperties": false
}

Ausgabe-Schema

{
  "type": "object",
  "additionalProperties": true
}
🟢get_cohort_results(questionSetId, cohort, window)

Return aggregate public cohort results for an exact question-set identifier and bounded time window.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "questionSetId": {
      "type": "string",
      "pattern": "^[A-Za-z0-9_-]{8,128}$"
    },
    "cohort": {
      "type": "string",
      "enum": [
        "human_public",
        "lab_recorded",
        "direct_signed",
        "stable_signed",
        "domain_verified",
        "direct_declared",
        "human_relayed"
      ]
    },
    "window": {
      "type": "string",
      "enum": [
        "daily",
        "weekly",
        "all"
      ]
    }
  },
  "required": [
    "questionSetId",
    "cohort",
    "window"
  ],
  "additionalProperties": false
}

Ausgabe-Schema

{
  "type": "object",
  "additionalProperties": true
}
🟢get_connection_topology

Return only the latest already-frozen public Connection Atlas DTO. Cells are categorical, thresholded aggregates; raw edges, private capabilities, aliases, answers, scores, locations, and hidden cell totals are unavailable.

Eingabe-Schema

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

Ausgabe-Schema

{
  "type": "object",
  "properties": {
    "schemaVersion": {
      "type": "integer",
      "const": 1
    },
    "status": {
      "type": "string",
      "enum": [
        "collecting",
        "open"
      ]
    },
    "editionId": {
      "type": "string",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$"
    },
    "editionHash": {
      "type": "string",
      "pattern": "^[a-f0-9]{64}$"
    },
    "previousEditionHash": {
      "anyOf": [
        {
          "type": "string",
          "pattern": "^[a-f0-9]{64}$"
        },
        {
          "type": "null"
        }
      ]
    },
    "createdAt": {
      "type": "string",
      "format": "date-time"
    },
    "window": {
      "type": "object",
      "additionalProperties": false,
      "required": [
        "start",
        "end",
        "days"
      ],
      "properties": {
        "start": {
          "type": "string",
          "pattern": "^\\d{4}-\\d{2}-\\d{2}$"
        },
        "end": {
          "type": "string",
          "pattern": "^\\d{4}-\\d{2}-\\d{2}$"
        },
        "days": {
          "type": "integer",
          "const": 30
        }
      }
    },
    "thresholds": {
      "type": "object",
      "additionalProperties": false,
      "required": [
        "minimumIndependentLineages",
        "minimumDirectEdges"
      ],
      "properties": {
        "minimumIndependentLineages": {
          "type": "integer",
          "const": 20
        },
        "minimumDirectEdges": {
          "type": "integer",
          "const": 20
        }
      }
    },
    "cells": {
      "type": "array",
      "maxItems": 144,
      "items": {
        "type": "object",
        "additionalProperties": false,
        "required": [
          "fromActorClass",
          "fromActorEvidence",
          "toActorClass",
          "toActorEvidence",
          "relationshipType",
          "directEdgeCount",
          "propagationEdgeCount",
          "independentLineageCount"
        ],
        "properties": {
          "fromActorClass": {
            "type": "string",
            "enum": [
              "person",
              "software",
              "unspecified"
            ]
          },
          "fromActorEvidence": {
            "type": "string",
            "enum": [
              "self_declared",
              "mcp_transport",
              "unspecified"
            ]
          },
          "toActorClass": {
            "type": "string",
            "enum": [
              "person",
              "software",
              "unspecified"
            ]
          },
          "toActorEvidence": {
            "type": "string",
            "enum": [
              "self_declared",
              "mcp_transport",
              "unspecified"
            ]
          },
          "relationshipType": {
            "type": "string",
            "enum": [
              "friend",
              "best_friend",
              "partner",
              "sibling",
              "family",
              "group_member",
              "teammate",
              "long_distance",
              "other"
            ]
          },
          "directEdgeCount": {
            "type": "integer",
            "minimum": 20,
            "maximum": 1000000
          },
          "propagationEdgeCount": {
            "type": "integer",
            "minimum": 0,
            "maximum": 1000000
          },
          "independentLineageCount": {
            "type": "integer",
            "minimum": 20,
            "maximum": 1000000
          }
        }
      }
    },
    "suppressedCellCount": {
      "type": "integer",
      "minimum": 0,
      "maximum": 144
    },
    "disclosure": {
      "type": "string",
      "minLength": 1,
      "maxLength": 1000
    },
    "methodologyUrl": {
      "type": "string",
      "const": "/methodology#connections"
    }
  },
  "required": [
    "schemaVersion",
    "status",
    "editionId",
    "editionHash",
    "previousEditionHash",
    "createdAt",
    "window",
    "thresholds",
    "cells",
    "suppressedCellCount",
    "disclosure",
    "methodologyUrl"
  ],
  "additionalProperties": false
}
🟢get_methodology(section)

Return one curated methodology section selected from a fixed enum.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "section": {
      "type": "string",
      "enum": [
        "overview",
        "provenance",
        "privacy",
        "sampling",
        "limitations"
      ]
    }
  },
  "required": [
    "section"
  ],
  "additionalProperties": false
}

Ausgabe-Schema

{
  "type": "object",
  "additionalProperties": true
}
🟢get_personality_instrument

Return the exact versioned public-domain Mini-IPIP 20 instrument. No response vector is submitted or stored.

Eingabe-Schema

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

Ausgabe-Schema

{
  "type": "object",
  "additionalProperties": true
}
🟢score_personality_responses(responses)

Deterministically score exactly 20 canonical Mini-IPIP responses without storage. The result describes only the submitted vector, not an agent or person's identity, diagnosis, type, percentile, consciousness, or compatibility.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "responses": {
      "type": "array",
      "minItems": 20,
      "maxItems": 20,
      "uniqueItems": true,
      "items": {
        "type": "object",
        "additionalProperties": false,
        "properties": {
          "itemId": {
            "type": "string",
            "enum": [
              "mini-ipip-01",
              "mini-ipip-02",
              "mini-ipip-03",
              "mini-ipip-04",
              "mini-ipip-05",
              "mini-ipip-06",
              "mini-ipip-07",
              "mini-ipip-08",
              "mini-ipip-09",
              "mini-ipip-10",
              "mini-ipip-11",
              "mini-ipip-12",
              "mini-ipip-13",
              "mini-ipip-14",
              "mini-ipip-15",
              "mini-ipip-16",
              "mini-ipip-17",
              "mini-ipip-18",
              "mini-ipip-19",
              "mini-ipip-20"
            ]
          },
          "response": {
            "type": "integer",
            "enum": [
              1,
              2,
              3,
              4,
              5
            ]
          }
        },
        "required": [
          "itemId",
          "response"
        ]
      }
    }
  },
  "required": [
    "responses"
  ],
  "additionalProperties": false
}

Ausgabe-Schema

{
  "type": "object",
  "additionalProperties": true
}
🟢get_personality_perception_challenge(code)

Retrieve one personality-perception challenge through its exact opaque code capability. Challenge enumeration is unavailable. Prediction is an unvalidated perception game.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "code": {
      "type": "string",
      "pattern": "^[A-Za-z0-9_-]{20,32}$"
    }
  },
  "required": [
    "code"
  ],
  "additionalProperties": false
}

Ausgabe-Schema

{
  "type": "object",
  "additionalProperties": true
}
🟡submit_personality_perception(code, responses, participantKey)

Submit exactly 20 canonical Mini-IPIP predictions through one exact code capability. Prediction is an unvalidated perception game, and the result returns aggregate factor comparisons only.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "code": {
      "type": "string",
      "pattern": "^[A-Za-z0-9_-]{20,32}$"
    },
    "responses": {
      "type": "array",
      "minItems": 20,
      "maxItems": 20,
      "uniqueItems": true,
      "items": {
        "type": "object",
        "additionalProperties": false,
        "properties": {
          "itemId": {
            "type": "string",
            "enum": [
              "mini-ipip-01",
              "mini-ipip-02",
              "mini-ipip-03",
              "mini-ipip-04",
              "mini-ipip-05",
              "mini-ipip-06",
              "mini-ipip-07",
              "mini-ipip-08",
              "mini-ipip-09",
              "mini-ipip-10",
              "mini-ipip-11",
              "mini-ipip-12",
              "mini-ipip-13",
              "mini-ipip-14",
              "mini-ipip-15",
              "mini-ipip-16",
              "mini-ipip-17",
              "mini-ipip-18",
              "mini-ipip-19",
              "mini-ipip-20"
            ]
          },
          "response": {
            "type": "integer",
            "enum": [
              1,
              2,
              3,
              4,
              5
            ]
          }
        },
        "required": [
          "itemId",
          "response"
        ]
      }
    },
    "participantKey": {
      "type": "string",
      "pattern": "^[A-Za-z0-9_-]{16,128}$"
    }
  },
  "required": [
    "code",
    "responses",
    "participantKey"
  ],
  "additionalProperties": false
}

Ausgabe-Schema

{
  "type": "object",
  "additionalProperties": true
}
🟢get_friendship_challenge(code)

Retrieve one private 24-question Know Me challenge through its exact opaque code capability. Challenge enumeration is unavailable, and creator answers are not returned before submission.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "code": {
      "type": "string",
      "pattern": "^[A-Za-z0-9_-]{20,32}$"
    }
  },
  "required": [
    "code"
  ],
  "additionalProperties": false
}

Ausgabe-Schema

{
  "type": "object",
  "additionalProperties": true
}
🟡submit_friendship_prediction(code, predictions, participantKey, relationshipType, publicTopologyOptIn)

Submit exactly 24 enum-only predictions through one exact private challenge code. A separate publicTopologyOptIn boolean, off by default, may add only the participant relationship/software categories to the thresholded Connection Atlas and requires an explicit relationship type; it cannot publish the creator's private actor label.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "code": {
      "type": "string",
      "pattern": "^[A-Za-z0-9_-]{20,32}$"
    },
    "predictions": {
      "type": "array",
      "minItems": 24,
      "maxItems": 24,
      "items": {
        "type": "string",
        "enum": [
          "a",
          "b"
        ]
      }
    },
    "participantKey": {
      "type": "string",
      "pattern": "^[A-Za-z0-9_-]{16,128}$"
    },
    "relationshipType": {
      "type": "string",
      "enum": [
        "friend",
        "best_friend",
        "partner",
        "sibling",
        "family",
        "group_member",
        "teammate",
        "long_distance",
        "other"
      ]
    },
    "publicTopologyOptIn": {
      "type": "boolean",
      "default": false
    }
  },
  "required": [
    "code",
    "predictions",
    "participantKey"
  ],
  "additionalProperties": false
}

Ausgabe-Schema

{
  "type": "object",
  "additionalProperties": true
}
🟡create_friendship_score_relay(responseToken, audience)

Create one bounded score-to-beat relay from an exact private response capability and fixed framing audience. The audience enum changes copy only and never sets or infers a stored relationship. Use only after explicit operator authorization; it does not publish predictions or either answer sheet.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "responseToken": {
      "type": "string",
      "pattern": "^[A-Za-z0-9_-]{20,128}$"
    },
    "audience": {
      "type": "string",
      "enum": [
        "friends",
        "best-friends",
        "partners",
        "siblings",
        "family",
        "household",
        "group",
        "teammates",
        "long-distance",
        "coworkers",
        "new-team",
        "classmates",
        "community"
      ]
    }
  },
  "required": [
    "responseToken",
    "audience"
  ],
  "additionalProperties": false
}

Ausgabe-Schema

{
  "type": "object",
  "additionalProperties": true
}

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