Context Link

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

使うべきか

品質と安全性

A
説明の品質
100%
スキーマの完全性
97%
命名の品質
95%
ポイズニングのリスク
100%
権限の一致
100%
プロトコルへの準拠
100%

ツール定義とプロトコルへの準拠に関する自動分析に基づいています。

コンテキストコスト

~1,196トークン数(ツール定義)
~2.8 KB一般的なレスポンスサイズ
注意への影響は中程度(128k コンテキストの 0.93%)

これは、サーバーのツールがモデルのコンテキストに読み込まれるたびに消費されるおおよそのトークン数です。数が多いほど、ほかのタスクに使える注意が減ります。

インストール

ワンクリックインストール

これを `claude_desktop_config.json` ファイルに追加してください:

{
  "mcpServers": {
    "context-link": {
      "url": "https://www.context-link.ai/mcp"
    }
  }
}

リモートエンドポイント

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

できること

ツール一覧

ツール(4)

🟢 読み取り専用🟡 書き込み🔴 削除⚪ 不明
🟢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.

入力スキーマ

{
  "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"
}

出力スキーマ

{
  "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.

入力スキーマ

{
  "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"
}

出力スキーマ

{
  "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.

入力スキーマ

{
  "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"
}

出力スキーマ

{
  "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.

入力スキーマ

{
  "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"
}

出力スキーマ

{
  "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
}

推奨プロンプト

retrieve_data
Get details about [item] from Context Link
想定されるツール: get_context
fetch_info
Fetch [information type] using Context Link
想定されるツール: get_context

コミュニティ

このサーバーを評価する

エビデンス

最近の観測

検証済みバージョンは記録されていませんツール 4 件
検証済みバージョンは記録されていませんツール 4 件