SignalTender B2B, GovCon & LegalTech MCP Server

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

Sollte ich dies verwenden

Qualität und Sicherheit

A
Qualität der Beschreibung
94%
Vollständigkeit des Schemas
93%
Qualität der Benennung
92%
Risiko der Vergiftung
100%
Übereinstimmung der Berechtigungen
100%
Einhaltung des Protokolls
100%

Befunde (2)

  • LOWTool 'scan_far_dfars_clauses' description lacks action verbin scan_far_dfars_clauses
  • LOWTool 'classify_naics_psc_nigp' description lacks action verbin classify_naics_psc_nigp

Basierend auf einer automatisierten Analyse der Tool-Definitionen und der Einhaltung des Protokolls.

Kontextkosten

~1,591Tokens (Tool-Definitionen)
~1.2 KBTypische Antwortgröße
Mittlere Auswirkung auf die Aufmerksamkeit (1.24% von 128k Kontext)

Dies ist die ungefähre Anzahl der Tokens, die jedes Mal verbraucht werden, wenn die Tools des Servers in den Kontext eines Modells geladen werden. Höhere Werte verringern die Aufmerksamkeit, die für andere Aufgaben verfügbar ist.

Installieren

Installation mit einem Klick

Fügen Sie dies Ihrer Datei `claude_desktop_config.json` hinzu:

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

Remote-Endpunkte

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

Was es kann

Tool-Inventar

Tools (10)

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🟢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.

Eingabe-Schema

{
  "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.

Eingabe-Schema

{
  "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.

Eingabe-Schema

{
  "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.

Eingabe-Schema

{
  "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.

Eingabe-Schema

{
  "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.

Eingabe-Schema

{
  "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.

Eingabe-Schema

{
  "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.

Eingabe-Schema

{
  "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.

Eingabe-Schema

{
  "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.

Eingabe-Schema

{
  "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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