FrankSpace Public MCP

Read-only search over live UK office & workspace listings on FrankSpace.

使うべきか

品質と安全性

A
説明の品質
96%
スキーマの完全性
95%
命名の品質
96%
ポイズニングのリスク
80%
権限の一致
100%
プロトコルへの準拠
100%

検出事項(2)

  • HIGHTool poisoning patterns detected
  • MEDIUMTool description contains URL to non-standard domainsubmit_feedback 内

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

~1,238トークン数(ツール定義)
~1.6 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 0.97%)

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": {
    "frankspace-public": {
      "url": "https://bqixfybgflusxwnvzjwu.supabase.co/functions/v1/mcp"
    }
  }
}

リモートエンドポイント

https://bqixfybgflusxwnvzjwu.supabase.co/functions/v1/mcpstreamable-http

できること

ツール一覧

ツール(5)

🟢 読み取り専用🟡 書き込み🔴 削除⚪ 不明
🟢ai_search(query, client_hint)

Search FrankSpace workspaces with a plain-English query — the same AI parser that powers the app. Handles budgets, headcount, neighbourhoods, amenities, EPC ratings, and lease terms. Returns matching live UK listings.

入力スキーマ

{
  "type": "object",
  "properties": {
    "query": {
      "type": "string",
      "minLength": 2,
      "description": "Plain-English search query, e.g. 'small office for 6 people in Shoreditch under £3k'."
    },
    "client_hint": {
      "description": "Name of the calling agent (e.g. 'claude', 'chatgpt', 'cursor') for analytics.",
      "type": "string"
    }
  },
  "required": [
    "query"
  ],
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢search_workspaces(location, size_band, max_price_pence, limit, client_hint)

Search live UK workspace listings on FrankSpace. Filter by location text (city, postcode, submarket), size band, and maximum monthly price (pence). For richer natural-language queries prefer `ai_search`.

入力スキーマ

{
  "type": "object",
  "properties": {
    "location": {
      "description": "Free-text location, e.g. 'Shoreditch' or 'EC2A'.",
      "type": "string"
    },
    "size_band": {
      "description": "small ≤500 sqft, medium 500-1500, large 1500-3000, xlarge >3000.",
      "type": "string",
      "enum": [
        "small",
        "medium",
        "large",
        "xlarge"
      ]
    },
    "max_price_pence": {
      "description": "Max monthly price in pence.",
      "type": "integer",
      "exclusiveMinimum": 0,
      "maximum": 9007199254740991
    },
    "limit": {
      "default": 10,
      "type": "integer",
      "minimum": 1,
      "maximum": 50
    },
    "client_hint": {
      "description": "Name of the calling agent (e.g. 'claude', 'chatgpt') for analytics.",
      "type": "string"
    }
  },
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢get_workspace(workspace_id, client_hint)

Fetch full public details for a single FrankSpace workspace by its ID (UUID).

入力スキーマ

{
  "type": "object",
  "properties": {
    "workspace_id": {
      "type": "string",
      "description": "Workspace UUID."
    },
    "client_hint": {
      "description": "Name of the calling agent (e.g. 'claude', 'chatgpt') for analytics.",
      "type": "string"
    }
  },
  "required": [
    "workspace_id"
  ],
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢get_frankspace_skill(client_hint)

Fetch the FrankSpace Agent Skill: how to query the listing inventory correctly, how to read the data (prices are pence, IDs are UUIDs), the commercial facts, and the limits of what this server can do. Read this once before your first search if you are unfamiliar with FrankSpace.

入力スキーマ

{
  "type": "object",
  "properties": {
    "client_hint": {
      "description": "Name of the calling agent (e.g. 'claude', 'chatgpt') for analytics.",
      "type": "string"
    }
  },
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🔴submit_feedback(message, kind, workspace_id, subject_url, client_hint)

Report something wrong or missing in FrankSpace's agent-facing surface: a listing whose details look stale or incorrect, a gap that made a search impossible, an unclear or contradictory statement in llms.txt / skill.md, or a tool that behaved unexpectedly. Feedback is reviewed by the FrankSpace team. Do NOT use this to contact a property owner, register interest in a workspace, ask a question, or pass on anything a user expects a reply to — nobody replies to this channel. Enquiries and viewings go through the listing page at https://frankspace.co.uk/office/<id>, by the user, on the site. Send one clear report rather than several; describe what you observed and what you expected.

入力スキーマ

{
  "type": "object",
  "properties": {
    "message": {
      "type": "string",
      "minLength": 10,
      "maxLength": 4000,
      "description": "What is wrong, in plain English. Include what you observed and what you expected. Do not include personal data about the user."
    },
    "kind": {
      "default": "other",
      "description": "data_error: a listing's details are wrong or stale. missing_data: a field or filter you needed does not exist. docs_unclear: llms.txt / skill.md is unclear, contradictory or incomplete. tool_problem: a tool errored or returned something unusable.",
      "type": "string",
      "enum": [
        "data_error",
        "missing_data",
        "docs_unclear",
        "tool_problem",
        "other"
      ]
    },
    "workspace_id": {
      "description": "UUID of the workspace the report is about, when it concerns one listing.",
      "type": "string",
      "format": "uuid",
      "pattern": "^([0-9a-fA-F]{8}-[0-9a-fA-F]{4}-[1-8][0-9a-fA-F]{3}-[89abAB][0-9a-fA-F]{3}-[0-9a-fA-F]{12}|00000000-0000-0000-0000-000000000000|ffffffff-ffff-ffff-ffff-ffffffffffff)$"
    },
    "subject_url": {
      "description": "The FrankSpace URL the report is about, if not a specific workspace.",
      "type": "string",
      "maxLength": 500
    },
    "client_hint": {
      "description": "Name of the calling agent (e.g. 'claude', 'chatgpt') for analytics.",
      "type": "string"
    }
  },
  "required": [
    "message"
  ],
  "$schema": "http://json-schema.org/draft-07/schema#"
}

推奨プロンプト

search_research
Search for information about [topic] using FrankSpace Public MCP
想定されるツール: ai_search
find_specific
Find [specific item] using FrankSpace Public MCP
想定されるツール: ai_search
retrieve_data
Get details about [item] from FrankSpace Public MCP
想定されるツール: get_workspace
fetch_info
Fetch [information type] using FrankSpace Public MCP
想定されるツール: get_workspace
research_workflow
Search for [topic], then get detailed information about the top results using FrankSpace Public MCP
想定されるツール: ai_searchget_workspace

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