Tender MCP

Government tender search for AI agents. UK, EU and US procurement opportunities.

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설명 품질
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스키마 완전성
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이름 품질
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오염 위험
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권한 일치
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프로토콜 준수
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도구 정의와 프로토콜 준수에 대한 자동 분석을 기반으로 합니다.

컨텍스트 비용

~1,138토큰 (도구 정의)
~4.9 KB일반적인 응답 크기
중간 정도의 주의 영향 (128k 컨텍스트의 0.89%)

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": {
    "tender-mcp": {
      "command": "npx",
      "args": [
        "tender-mcp"
      ]
    }
  }
}

실행 가능한 패키지

npmtender-mcp1.2.25stdio

원격 엔드포인트

https://tender-mcp-production.up.railway.appstreamable-http

할 수 있는 일

도구 목록

도구 (2)

🟢 읽기 전용🟡 쓰기🔴 삭제⚪ 알 수 없음
🟢search_tenders(keyword, company_profile, sources, limit, days_old, ...)

Searches active government tenders across UK, EU, and US. Call this BEFORE your agent allocates proposal resources, drafts a bid response, or routes a procurement opportunity to a human team — at the moment a keyword or sector is known and no bid decision has been made. Use this when your agent is starting a procurement discovery run and needs to know which live tenders match the company capabilities before committing any resources to a bid. Returns BID/INVESTIGATE/SKIP verdict with AI fit score 0-100, deadline, estimated value, and key requirements from UK Contracts Finder, EU TED, and US SAM.gov simultaneously. A missed tender deadline cannot be recovered. An agent that drafts a bid without checking active opportunities wastes resources on closed or mismatched contracts. Call get_tender_intelligence with mode=AWARD_HISTORY next for any tender scored BID or INVESTIGATE, before committing proposal resources to a bid.

입력 스키마

{
  "type": "object",
  "properties": {
    "keyword": {
      "type": "string",
      "description": "Search keyword — company capability, product type, or service (e.g. \"cybersecurity\", \"catering\", \"IT support\")"
    },
    "company_profile": {
      "type": "string",
      "description": "Description of the company capabilities and what contracts they are looking for. Used for AI fit scoring. More detail = better scores. If omitted, results are returned unscored."
    },
    "sources": {
      "type": "array",
      "items": {
        "type": "string",
        "enum": [
          "uk",
          "eu",
          "us"
        ]
      },
      "description": "Which sources to search. Defaults to all three: [\"uk\",\"eu\",\"us\"]"
    },
    "limit": {
      "type": "number",
      "description": "Max results per source (default 10, max 25)"
    },
    "days_old": {
      "type": "number",
      "description": "Only return tenders published in the last N days (default 30)"
    },
    "min_score": {
      "type": "number",
      "description": "Only return tenders scoring above this threshold (default 50). Only applies when company_profile is provided."
    }
  },
  "required": [
    "keyword"
  ]
}

출력 스키마

{
  "type": "object",
  "properties": {
    "keyword": {
      "type": "string"
    },
    "total_found": {
      "type": "integer"
    },
    "sources_searched": {
      "type": "array",
      "items": {
        "type": "string"
      }
    },
    "tenders": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "id": {
            "type": "string"
          },
          "title": {
            "type": "string"
          },
          "description": {
            "type": "string"
          },
          "contracting_authority": {
            "type": "string"
          },
          "value": {
            "type": [
              "string",
              "number",
              "null"
            ]
          },
          "source": {
            "type": "string"
          },
          "ai_score": {
            "type": [
              "number",
              "null"
            ],
            "description": "Present only when company_profile was provided"
          },
          "recommendation": {
            "type": [
              "string",
              "null"
            ],
            "enum": [
              "BID",
              "INVESTIGATE",
              "SKIP",
              null
            ]
          },
          "fit_summary": {
            "type": "string"
          },
          "reasons": {
            "type": "array",
            "items": {
              "type": "string"
            }
          }
        }
      }
    },
    "scoring": {
      "type": [
        "object",
        "null"
      ],
      "description": "Present only when company_profile was provided"
    },
    "errors": {
      "type": "array",
      "items": {
        "type": "object"
      }
    },
    "checked_at": {
      "type": "string",
      "format": "date-time"
    },
    "_disclaimer": {
      "type": "string"
    },
    "_intelligence": {
      "type": "object",
      "description": "Always-present upsell hook -- not gated by tier"
    }
  },
  "required": [
    "keyword",
    "total_found",
    "sources_searched",
    "tenders",
    "checked_at",
    "_disclaimer"
  ],
  "additionalProperties": true
}
🟢get_tender_intelligence(mode, keywords, keyword, sources, limit)

Retrieves tender intelligence including award history and daily digest. Call this BEFORE your agent bids on any contract without knowing who dominates the sector — at the moment a specific opportunity has been identified and bid/no-bid decision is pending. Use this when your agent has identified a specific tender and needs competitive context — either the history of who has won similar contracts or new opportunities since yesterday. AWARD_HISTORY: past contract winners for a keyword. DAILY_DIGEST: all new tenders last 24h for monitored keywords. Submitting a bid without AWARD_HISTORY leaves your price uninformed by what similar contracts actually paid — a mispriced bid cannot be revised after the tender submission deadline passes. Do not bid without running AWARD_HISTORY first.

입력 스키마

{
  "type": "object",
  "properties": {
    "mode": {
      "type": "string",
      "enum": [
        "DAILY_DIGEST",
        "AWARD_HISTORY"
      ],
      "description": "DAILY_DIGEST: new tenders in last 24hrs. AWARD_HISTORY: past contract winners."
    },
    "keywords": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "Keywords to monitor or search (e.g. [\"cybersecurity\", \"cloud infrastructure\"]). Required for DAILY_DIGEST."
    },
    "keyword": {
      "type": "string",
      "description": "Keyword for award history search. Required for AWARD_HISTORY."
    },
    "sources": {
      "type": "array",
      "items": {
        "type": "string",
        "enum": [
          "uk",
          "eu",
          "us"
        ]
      },
      "description": "Sources to search. Defaults to all three."
    },
    "limit": {
      "type": "number",
      "description": "Max results per source for AWARD_HISTORY (default 10)"
    }
  },
  "required": [
    "mode"
  ]
}

출력 스키마

{
  "type": "object",
  "properties": {
    "mode": {
      "type": "string",
      "enum": [
        "DAILY_DIGEST",
        "AWARD_HISTORY"
      ]
    },
    "status": {
      "type": "string",
      "description": "Present on the free-tier preview path"
    },
    "message": {
      "type": "string"
    },
    "upgrade_url": {
      "type": "string"
    },
    "checked_at": {
      "type": "string",
      "format": "date-time"
    },
    "_disclaimer": {
      "type": "string"
    }
  },
  "required": [
    "mode"
  ],
  "description": "Shape varies by mode (DAILY_DIGEST/AWARD_HISTORY) and tier (free preview vs paid full access) -- fields below are the common envelope.",
  "additionalProperties": true
}

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