CommunityMentions

Which subreddits AI answers cite, matched to your product, with each one's most-cited threads.

Sollte ich dies verwenden

Qualität und Sicherheit

A
Qualität der Beschreibung
100%
Vollständigkeit des Schemas
100%
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

~1,314Tokens (Tool-Definitionen)
~6.1 KBTypische Antwortgröße
Mittlere Auswirkung auf die Aufmerksamkeit (1.03% 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": {
    "communitymentions": {
      "url": "https://communitymentions.com/api/mcp"
    }
  }
}

Remote-Endpunkte

https://communitymentions.com/api/mcpstreamable-http

Was es kann

Tool-Inventar

Tools (2)

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🟢find_subreddits(description)

Use this when someone asks which subreddits or Reddit communities fit a product, brand or niche, or where on Reddit AI answers look for recommendations in a category. Takes a short description such as "AI writing tool for marketers" and returns up to 10 matching subreddits, closest match first, with how often AI answers cited each, members and a link to each subreddit's data page. Only subreddits in CommunityMentions' data (cited 50+ times or with 50+ verified comments placed) are included; health, legal-help and adult communities are left out.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "description": {
      "type": "string",
      "minLength": 2,
      "maxLength": 120,
      "description": "What the product or niche is, in a few words"
    }
  },
  "required": [
    "description"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}

Ausgabe-Schema

{
  "type": "object",
  "properties": {
    "matches": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "subreddit": {
            "type": "string"
          },
          "category": {
            "type": "string"
          },
          "members": {
            "type": [
              "number",
              "null"
            ]
          },
          "ai_citations": {
            "type": [
              "number",
              "null"
            ]
          },
          "ai_answers_citing": {
            "type": [
              "number",
              "null"
            ]
          },
          "threads_cited": {
            "type": [
              "number",
              "null"
            ]
          },
          "verified_comments_placed": {
            "type": [
              "number",
              "null"
            ]
          },
          "page_url": {
            "type": "string"
          }
        },
        "required": [
          "subreddit",
          "category",
          "members",
          "ai_citations",
          "ai_answers_citing",
          "threads_cited",
          "verified_comments_placed",
          "page_url"
        ],
        "additionalProperties": false
      }
    },
    "matched_on": {
      "type": "array",
      "items": {
        "type": "string"
      }
    },
    "no_close_match": {
      "type": "boolean"
    },
    "median_ai_citations": {
      "type": "number"
    },
    "data_as_of": {
      "type": "string"
    }
  },
  "required": [
    "matches",
    "matched_on",
    "no_close_match",
    "median_ai_citations",
    "data_as_of"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢get_subreddit(subreddit)

Use this when someone asks how often AI answers cite a specific subreddit, which of its threads get cited, or whether it matters for being recommended by ChatGPT, Perplexity or Gemini. Takes a subreddit name such as "SaaS" or "r/marketing" and returns its AI citations by engine, the kinds of questions those answers were about, its most-cited threads and its member count.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "subreddit": {
      "type": "string",
      "minLength": 2,
      "maxLength": 60,
      "description": "A subreddit name, with or without r/"
    }
  },
  "required": [
    "subreddit"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}

Ausgabe-Schema

{
  "type": "object",
  "properties": {
    "found": {
      "type": "boolean"
    },
    "subreddit": {
      "anyOf": [
        {
          "type": "object",
          "properties": {
            "subreddit": {
              "type": "string"
            },
            "category": {
              "type": "string"
            },
            "members": {
              "type": [
                "number",
                "null"
              ]
            },
            "ai_citations": {
              "type": [
                "number",
                "null"
              ]
            },
            "ai_answers_citing": {
              "type": [
                "number",
                "null"
              ]
            },
            "threads_cited": {
              "type": [
                "number",
                "null"
              ]
            },
            "verified_comments_placed": {
              "type": [
                "number",
                "null"
              ]
            },
            "page_url": {
              "type": "string"
            },
            "rank_by_ai_citations": {
              "type": [
                "number",
                "null"
              ]
            },
            "cited_from": {
              "type": [
                "string",
                "null"
              ]
            },
            "cited_to": {
              "type": [
                "string",
                "null"
              ]
            },
            "citations_by_engine": {
              "anyOf": [
                {
                  "type": "object",
                  "properties": {
                    "openai_models": {
                      "type": [
                        "number",
                        "null"
                      ]
                    },
                    "perplexity": {
                      "type": [
                        "number",
                        "null"
                      ]
                    },
                    "gemini": {
                      "type": [
                        "number",
                        "null"
                      ]
                    }
                  },
                  "required": [
                    "openai_models",
                    "perplexity",
                    "gemini"
                  ],
                  "additionalProperties": false
                },
                {
                  "type": "null"
                }
              ]
            },
            "citing_answers_by_question_type": {
              "anyOf": [
                {
                  "type": "object",
                  "properties": {
                    "comparing_products": {
                      "type": [
                        "number",
                        "null"
                      ]
                    },
                    "looking_to_buy": {
                      "type": [
                        "number",
                        "null"
                      ]
                    },
                    "describing_a_problem": {
                      "type": [
                        "number",
                        "null"
                      ]
                    }
                  },
                  "required": [
                    "comparing_products",
                    "looking_to_buy",
                    "describing_a_problem"
                  ],
                  "additionalProperties": false
                },
                {
                  "type": "null"
                }
              ]
            },
            "most_cited_threads": {
              "type": "array",
              "items": {
                "type": "object",
                "properties": {
                  "title": {
                    "type": "string"
                  },
                  "url": {
                    "type": "string"
                  },
                  "ai_citations": {
                    "type": "number"
                  }
                },
                "required": [
                  "title",
                  "url",
                  "ai_citations"
                ],
                "additionalProperties": false
              }
            }
          },
          "required": [
            "subreddit",
            "category",
            "members",
            "ai_citations",
            "ai_answers_citing",
            "threads_cited",
            "verified_comments_placed",
            "page_url",
            "rank_by_ai_citations",
            "cited_from",
            "cited_to",
            "citations_by_engine",
            "citing_answers_by_question_type",
            "most_cited_threads"
          ],
          "additionalProperties": false
        },
        {
          "type": "null"
        }
      ]
    },
    "suggestions": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "subreddit": {
            "$ref": "#/properties/subreddit/anyOf/0/properties/subreddit"
          },
          "category": {
            "$ref": "#/properties/subreddit/anyOf/0/properties/category"
          },
          "members": {
            "$ref": "#/properties/subreddit/anyOf/0/properties/members"
          },
          "ai_citations": {
            "$ref": "#/properties/subreddit/anyOf/0/properties/ai_citations"
          },
          "ai_answers_citing": {
            "$ref": "#/properties/subreddit/anyOf/0/properties/ai_answers_citing"
          },
          "threads_cited": {
            "$ref": "#/properties/subreddit/anyOf/0/properties/threads_cited"
          },
          "verified_comments_placed": {
            "$ref": "#/properties/subreddit/anyOf/0/properties/verified_comments_placed"
          },
          "page_url": {
            "$ref": "#/properties/subreddit/anyOf/0/properties/page_url"
          }
        },
        "required": [
          "subreddit",
          "category",
          "members",
          "ai_citations",
          "ai_answers_citing",
          "threads_cited",
          "verified_comments_placed",
          "page_url"
        ],
        "additionalProperties": false
      }
    }
  },
  "required": [
    "found",
    "subreddit",
    "suggestions"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}

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