MCP MeasureMCP Measure

Index beobachtet

Context Link

One semantic search across your sites, Drive, Notion, email, files and Basecamp.

Sollte ich dies verwenden

Qualität und Sicherheit

A
Qualität der Beschreibung
100%
Vollständigkeit des Schemas
97%
Qualität der Benennung
95%
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

~1,196Tokens (Tool-Definitionen)
~2.8 KBTypische Antwortgröße
Mittlere Auswirkung auf die Aufmerksamkeit (0.93% 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": {
    "context-link": {
      "url": "https://www.context-link.ai/mcp"
    }
  }
}

Remote-Endpunkte

https://www.context-link.ai/mcpstreamable-http

Was es kann

Tool-Inventar

Tools (4)

🟢 Nur lesen🟡 Schreiben🔴 Löschen⚪ Unbekannt
🟢get_context(query, mode, connection_type)

Get context from the user's connected workspaces and websites. The attached widget displays only the list of sources consulted — it does not show the retrieved content, so use the returned context to answer the user directly.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "query": {
      "type": "string"
    },
    "mode": {
      "type": "string",
      "description": "Optional mode to weight results (e.g. 'customer-support')"
    },
    "connection_type": {
      "type": "string",
      "description": "Optional comma-separated list of connection types to restrict retrieval to (e.g. \"site,email\"). Only content from those sources is considered. Valid types: basecamp, custom, email, files, google_doc, memory, monday, notion, one_drive, site, webmention, youtube."
    }
  },
  "required": [
    "query"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}

Ausgabe-Schema

{
  "type": "object",
  "properties": {
    "sources": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "kind": {
            "type": "string",
            "enum": [
              "success",
              "no_content",
              "signup_required"
            ]
          },
          "id": {
            "type": "integer"
          },
          "title": {
            "type": "string"
          },
          "post_titles": {
            "type": "array",
            "items": {
              "type": "string"
            }
          },
          "connection_type": {
            "type": "string"
          },
          "chunks_count": {
            "type": "integer"
          },
          "logo": {
            "type": "string"
          }
        },
        "required": [
          "kind"
        ]
      }
    },
    "context": {
      "type": [
        "string",
        "null"
      ]
    }
  },
  "required": [
    "sources",
    "context"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "additionalProperties": false
}
🟢ask_question(query, mode, connection_type)

Ask a question about the user's connected workspaces and websites and receive a concise answer with citations. The attached widget displays only the list of sources consulted — it does not show the answer, so always relay the answer text in your reply.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "query": {
      "type": "string"
    },
    "mode": {
      "type": "string",
      "description": "Optional mode to weight results (e.g. 'customer-support')"
    },
    "connection_type": {
      "type": "string",
      "description": "Optional comma-separated list of connection types to restrict retrieval to (e.g. \"site,email\"). Only content from those sources is considered. Valid types: basecamp, custom, email, files, google_doc, memory, monday, notion, one_drive, site, webmention, youtube."
    }
  },
  "required": [
    "query"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}

Ausgabe-Schema

{
  "type": "object",
  "properties": {
    "answer": {
      "type": "string",
      "description": "Concise paragraph answer; empty string when success is false"
    },
    "citations": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "n": {
            "type": "integer"
          },
          "title": {
            "type": "string"
          },
          "url": {
            "type": [
              "string",
              "null"
            ]
          }
        },
        "required": [
          "n",
          "title"
        ],
        "additionalProperties": false
      }
    },
    "success": {
      "type": "boolean"
    },
    "reason": {
      "type": "string",
      "enum": [
        "ok",
        "no_context",
        "llm_error",
        "empty_input",
        "auth_required",
        "signup_required",
        "pro_required",
        "allowance_exceeded",
        "invalid_connection_type"
      ]
    },
    "sources": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "kind": {
            "type": "string",
            "enum": [
              "success",
              "no_content",
              "signup_required"
            ]
          },
          "id": {
            "type": "integer"
          },
          "title": {
            "type": "string"
          },
          "post_titles": {
            "type": "array",
            "items": {
              "type": "string"
            }
          },
          "connection_type": {
            "type": "string"
          },
          "chunks_count": {
            "type": "integer"
          },
          "logo": {
            "type": "string"
          }
        },
        "required": [
          "kind"
        ],
        "additionalProperties": false
      }
    }
  },
  "required": [
    "answer",
    "citations",
    "success",
    "reason",
    "sources"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "additionalProperties": false
}
🔴save_memory(content, namespace)

Save content to the user's memory for later retrieval. Use this when the user wants to save information, notes, or conversation content.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "content": {
      "type": "string",
      "description": "The content to save. Can be plain text, markdown, or structured content."
    },
    "namespace": {
      "type": "string",
      "description": "A name/label for this memory (use-dashes-for-spaces). If omitted, a timestamped name is generated."
    }
  },
  "required": [
    "content"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}

Ausgabe-Schema

{
  "type": "object",
  "properties": {
    "message": {
      "type": "string"
    },
    "namespace": {
      "type": "string"
    }
  },
  "required": [
    "message",
    "namespace"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "additionalProperties": false
}
🟢get_memory(namespace)

Retrieve previously saved memory content by its namespace. Use this when the user wants to recall saved content.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "namespace": {
      "type": "string",
      "description": "The namespace/name of the saved memory to retrieve"
    }
  },
  "required": [
    "namespace"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}

Ausgabe-Schema

{
  "type": "object",
  "properties": {
    "content": {
      "type": "string"
    },
    "namespace": {
      "type": "string"
    },
    "found": {
      "type": "boolean"
    }
  },
  "required": [
    "content",
    "namespace",
    "found"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "additionalProperties": false
}

Empfohlene Prompts

retrieve_data
Get details about [item] from Context Link
Erwartete Tools: get_context
fetch_info
Fetch [information type] using Context Link
Erwartete Tools: get_context

Community

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Aktuelle Beobachtungen

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