FrankSpace Public MCP

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

사용해야 할까요

품질 및 안전성

A
설명 품질
96%
스키마 완전성
95%
이름 품질
96%
오염 위험
80%
권한 일치
100%
프로토콜 준수
100%

발견 사항 (2)

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

도구 정의와 프로토콜 준수에 대한 자동 분석을 기반으로 합니다.

컨텍스트 비용

~1,238토큰 (도구 정의)
~1.6 KB일반적인 응답 크기
중간 정도의 주의 영향 (128k 컨텍스트의 0.97%)

이는 서버의 도구가 모델의 컨텍스트에 로드될 때마다 소비되는 대략적인 토큰 수입니다. 수치가 높을수록 다른 작업에 사용할 수 있는 주의가 줄어듭니다.

설치

원클릭 설치

`claude_desktop_config.json` 파일에 다음을 추가하세요:

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

원격 엔드포인트

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

할 수 있는 일

도구 목록

도구 (5)

🟢 읽기 전용🟡 쓰기🔴 삭제⚪ 알 수 없음
🟢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.

입력 스키마

{
  "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`.

입력 스키마

{
  "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).

입력 스키마

{
  "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.

입력 스키마

{
  "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.

입력 스키마

{
  "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#"
}

권장 프롬프트

search_research
Search for information about [topic] using FrankSpace Public MCP
예상 도구: ai_search
find_specific
Find [specific item] using FrankSpace Public MCP
예상 도구: ai_search
retrieve_data
Get details about [item] from FrankSpace Public MCP
예상 도구: get_workspace
fetch_info
Fetch [information type] using FrankSpace Public MCP
예상 도구: get_workspace
research_workflow
Search for [topic], then get detailed information about the top results using FrankSpace Public MCP
예상 도구: ai_searchget_workspace

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