SignalTender B2B, GovCon & LegalTech MCP Server
B2B, GovCon & LegalTech MCP server for live RFPs, contract parsing, compliance & proposal tools.
我該用這個嗎
品質與安全性
發現項目(2)
- LOW在 scan_far_dfars_clauses 中
- LOW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
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)
🟢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"
]
}社群
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