SignalTender B2B, GovCon & LegalTech MCP Server

B2B, GovCon & LegalTech MCP server for live RFPs, contract parsing, compliance & proposal tools.

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品質與安全性

A
說明品質
94%
結構描述完整度
93%
命名品質
92%
汙染風險
100%
權限相符程度
100%
協定合規性
100%

發現項目(2)

  • LOWTool 'scan_far_dfars_clauses' description lacks action verb在 scan_far_dfars_clauses 中
  • LOWTool 'classify_naics_psc_nigp' description lacks action verb在 classify_naics_psc_nigp 中

根據工具定義與協定合規性的自動化分析。

上下文成本

~1,591Token(工具定義)
~1.2 KB典型回應大小
中等的注意力影響(128k 上下文的 1.24%)

這是每次將伺服器的工具載入模型上下文時所消耗的約略 token 數量。數量越高,可用於其他工作的注意力就越少。

安裝

一鍵安裝

將以下內容加入你的 `claude_desktop_config.json` 檔案:

{
  "mcpServers": {
    "signaltender-mcp": {
      "url": "https://b2b-contract-parser-api.onrender.com/mcp"
    }
  }
}

遠端端點

https://b2b-contract-parser-api.onrender.com/mcpstreamable-http

它能做什麼

工具清單

工具(10)

🟢 唯讀🟡 寫入🔴 刪除⚪ 未知
🟢parse_b2b_contract(raw_text, document_type_hint)

API #01: Extract structured JSON (party names, effective/termination dates, total contract value, payment terms, deliverables, and governing law) from unstructured B2B contracts, SOWs, or RFPs.

輸入結構描述

{
  "type": "object",
  "properties": {
    "raw_text": {
      "type": "string",
      "description": "Raw unstructured text from a contract, Statement of Work (SOW), or RFP (min 50 chars)."
    },
    "document_type_hint": {
      "type": "string",
      "description": "Optional document type hint (e.g., 'RFP', 'MSA', 'SOW')."
    }
  },
  "required": [
    "raw_text"
  ]
}
⚪audit_contract_risks(raw_text, party_perspective)

API #02: Audit legal contracts (MSAs, NDAs, Subcontracts, SaaS agreements) for toxic clauses, score overall risk (0-100), and generate verbatim clause quotes with ready-to-paste fallback redline language.

輸入結構描述

{
  "type": "object",
  "properties": {
    "raw_text": {
      "type": "string",
      "description": "Full or partial contract text to audit for legal and commercial risks."
    },
    "party_perspective": {
      "type": "string",
      "enum": [
        "vendor",
        "buyer",
        "neutral"
      ],
      "default": "vendor",
      "description": "Negotiating perspective for redline generation ('vendor', 'buyer', or 'neutral')."
    }
  },
  "required": [
    "raw_text"
  ]
}
🟢search_historical_awards(keywords, agency, naics_code)

API #03: Query historical federal contract awards, incumbent prime contractors, award ceilings, and CLIN pricing benchmarks by keyword, NAICS code, or agency.

輸入結構描述

{
  "type": "object",
  "properties": {
    "keywords": {
      "type": "string",
      "description": "Search keywords (e.g., 'zero trust', 'cloud migration', 'SIEM')."
    },
    "agency": {
      "type": "string",
      "description": "Optional agency name filter."
    },
    "naics_code": {
      "type": "string",
      "description": "Optional 6-digit NAICS code filter (e.g., '541512')."
    }
  },
  "required": [
    "keywords"
  ]
}
🟢get_live_solicitations(state, category, keyword, limit)

API #04: Stream live, AI-vetted open Federal (SAM.gov) and State/Local SLED (VA, TX, CA, FL, MD, DemandStar) IT, Cloud, and Cybersecurity RFPs from SignalTender's 7-portal procurement database.

輸入結構描述

{
  "type": "object",
  "properties": {
    "state": {
      "type": "string",
      "description": "Optional jurisdiction filter ('federal', 'virginia', 'texas', 'california', 'florida', 'maryland', 'municipal')."
    },
    "category": {
      "type": "string",
      "description": "Optional IT vertical filter ('cybersecurity', 'cloud-infrastructure', 'software-development', 'network-telecom')."
    },
    "keyword": {
      "type": "string",
      "description": "Optional search keyword in solicitation title or agency."
    },
    "limit": {
      "type": "integer",
      "default": 10,
      "description": "Max number of open solicitations to return (1-50)."
    }
  }
}
🟢generate_compliance_matrix(raw_text, proposal_methodology)

API #05: Parse raw RFP Section C/L/M or SOW text into a Shipley-aligned shall/must Compliance Matrix, Section L-to-M cross-reference map, and hierarchical Proposal Outline with page allocations.

輸入結構描述

{
  "type": "object",
  "properties": {
    "raw_text": {
      "type": "string",
      "description": "Raw RFP Section C (SOW), Section L (Instructions), and/or Section M (Evaluation Criteria) text."
    },
    "proposal_methodology": {
      "type": "string",
      "enum": [
        "shipley",
        "federal_standard",
        "commercial_agile"
      ],
      "default": "shipley"
    }
  },
  "required": [
    "raw_text"
  ]
}
⚪scan_far_dfars_clauses(raw_text, contractor_role)

API #06: Detect FAR (52.2xx) and DFARS (252.2xx) regulatory clauses in a solicitation, flag mandatory subcontractor flow-downs, and score CMMC 2.0 / NIST 800-171 / FedRAMP compliance burden.

輸入結構描述

{
  "type": "object",
  "properties": {
    "raw_text": {
      "type": "string",
      "description": "Solicitation Section I or subcontract flow-down text containing FAR/DFARS citations."
    },
    "contractor_role": {
      "type": "string",
      "enum": [
        "prime_contractor",
        "subcontractor",
        "commercial_item_vendor"
      ],
      "default": "prime_contractor"
    }
  },
  "required": [
    "raw_text"
  ]
}
🟢match_capability_statement(rfp_text, company_capability_statement, target_pursuit_role)

API #07: Compare an RFP against a company's Capability Statement & Past Performance to calculate a 0-100 Pwin (Probability of Win) Score, Bid/No-Bid decision, gap analysis, and tailored executive pitch.

輸入結構描述

{
  "type": "object",
  "properties": {
    "rfp_text": {
      "type": "string",
      "description": "Solicitation scope, mandatory qualifications, set-aside, and evaluation criteria."
    },
    "company_capability_statement": {
      "type": "string",
      "description": "Vendor capability statement, socioeconomic certs, clearances, and past performance."
    },
    "target_pursuit_role": {
      "type": "string",
      "enum": [
        "prime_contractor",
        "subcontractor",
        "either_prime_or_sub"
      ],
      "default": "either_prime_or_sub"
    }
  },
  "required": [
    "rfp_text",
    "company_capability_statement"
  ]
}
⚪classify_naics_psc_nigp(description_text, context_type, max_secondary_codes)

API #08: Map any product description, SOW, or company profile to exact 6-digit NAICS, 4-digit SIC (for KYB/FinTech), Federal PSC, and State NIGP/UNSPSC commodity codes with SBA size standards.

輸入結構描述

{
  "type": "object",
  "properties": {
    "description_text": {
      "type": "string",
      "description": "Company profile, product description, or Statement of Work text."
    },
    "context_type": {
      "type": "string",
      "enum": [
        "company_or_vendor_profile",
        "rfp_or_sow_scope",
        "product_or_service_catalog"
      ],
      "default": "company_or_vendor_profile"
    },
    "max_secondary_codes": {
      "type": "integer",
      "default": 3
    }
  },
  "required": [
    "description_text"
  ]
}
⚪generate_rfp_response(rfp_section_text, company_context_and_capabilities, target_section_type, tone_and_methodology)

API #09: Draft an evaluator-ready Shipley Technical Proposal Section (with Win Themes, Proof Points, and Risk Mitigations) AND generate strategic Vendor Clarification Q&A questions.

輸入結構描述

{
  "type": "object",
  "properties": {
    "rfp_section_text": {
      "type": "string",
      "description": "RFP Section C/L/M requirements to respond to."
    },
    "company_context_and_capabilities": {
      "type": "string",
      "description": "Bidder's technical capabilities, past performance metrics, and differentiators."
    },
    "target_section_type": {
      "type": "string",
      "enum": [
        "technical_approach",
        "executive_summary",
        "management_and_staffing_plan",
        "past_performance_narrative"
      ],
      "default": "technical_approach"
    },
    "tone_and_methodology": {
      "type": "string",
      "default": "Shipley Proposal Methodology (Active Voice, Evaluator-First, Feature-Benefit-Proof)"
    }
  },
  "required": [
    "rfp_section_text",
    "company_context_and_capabilities"
  ]
}
🟢extract_pricing_schedule(document_text, expected_document_type, audit_math_and_anomalies)

API #10: Extract multi-tier CLIN/SLIN pricing tables, GSA/T&M labor rate cards, and BOM spreadsheets from unstructured vendor quotes or Section B schedules into normalized JSON with line-by-line math verification.

輸入結構描述

{
  "type": "object",
  "properties": {
    "document_text": {
      "type": "string",
      "description": "Raw text or table content from a vendor quote, invoice, or Federal Section B CLIN schedule."
    },
    "expected_document_type": {
      "type": "string",
      "enum": [
        "auto_detect",
        "federal_section_b_clin_schedule",
        "gsa_or_tm_labor_rate_card",
        "b2b_vendor_quote_or_bom",
        "commercial_invoice"
      ],
      "default": "auto_detect"
    },
    "audit_math_and_anomalies": {
      "type": "boolean",
      "default": true
    }
  },
  "required": [
    "document_text"
  ]
}

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