Sales-Engineering/RFP-Response MCP
Provides structured templates for security questionnaires, RFP responses, and competitive battlecards to help AI agents and sales engineers draft responses efficiently.
README
Sales-Engineering / RFP-Response MCP
Drop-in templates for security questionnaires (SOC2, ISO27001, HIPAA, GDPR, NIST CSF, PCI-DSS), RFP responses, and competitive battlecards. For AI sales agents and human sales engineers.
Built from 10+ years of B2B enterprise sales experience.
Disclaimer. Outputs are structured starting templates based on publicly-documented security frameworks. They are NOT (a) a substitute for the actual content of your security program, (b) legal advice, (c) a certified audit attestation, (d) a guarantee of compliance. Replace bracketed placeholders with your specific facts. Have qualified security and legal counsel review before submitting any actual RFP or questionnaire response.
Why This Exists
Mid-market B2B SaaS sales engineering teams burn 100-300 hours per quarter answering the same security and RFP questions. Loopio and Responsive sell point solutions for this at $30-100K/year per company.
AI agents can do this work better — but they need a structured library of starting templates to draft from. This MCP provides that library.
Use case: an AI agent receives a 200-question security questionnaire. It calls this MCP for each question, gets a starting template, fills in customer-specific facts, and submits a draft for human review.
7 Tools
| Tool | What it returns |
|---|---|
get_security_attestation |
SOC2 / ISO27001 / HIPAA / GDPR / NIST CSF / PCI-DSS attestation templates with placeholders |
get_questionnaire_response |
10 common security questionnaire questions with template responses (encryption, access control, vulnerability mgmt, IR, retention, sub-processors, residency, SLA, AI usage) |
get_rfp_response_template |
7 common RFP sections (overview, architecture, integrations, pricing, SLA, competitive displacement, references) |
get_competitive_battlecard |
3 competitive scenarios (vs legacy incumbent, vs modern competitor, vs DIY internal build) |
search_questionnaire |
Free-text search across all questionnaire topics |
list_all_topics |
Discovery — all available frameworks, topics, sections, scenarios |
get_full_pack |
Complete library for fine-tuning or full agent context |
Sample Use
// Customer questionnaire asks: "What encryption do you use for data at rest?"
mcp.call("get_questionnaire_response", { topic: "encryption_at_rest" });
// Returns starting template with placeholders for KMS provider, rotation cadence
// RFP needs a competitive section vs Salesforce
mcp.call("get_competitive_battlecard", { scenario: "vs_legacy_incumbent" });
// Returns differentiation pattern, common objections + responses, pricing play
Pricing
- Apify Pay-Per-Event: $0.05 per tool call
- First 10 calls free per actor
Coverage
Security frameworks (6)
SOC 2 Type II · ISO/IEC 27001:2022 · HIPAA · GDPR · NIST CSF 2.0 · PCI DSS 4.0
Questionnaire topics (10)
Encryption at rest · Encryption in transit · Access control / least privilege · Vulnerability management · Incident response · Data retention · Sub-processors · Data residency · Uptime SLA · AI data usage policy
RFP sections (7)
Company overview · Technical architecture · Integrations · Pricing · SLA & support · Competitive displacement · References
Battlecards (3)
vs Legacy Incumbent · vs Modern Competitor · vs DIY Internal Build
Production Roadmap
- v1.1: Add SOC 1, FedRAMP, StateRAMP, IRAP (Australia), CSA STAR, BSI C5 (Germany)
- v1.2: Vertical-specific Q&A (FinTech: PCI deep-dive, Healthcare: HIPAA + HITRUST, EdTech: FERPA/COPPA)
- v1.3: Bring-your-own-evidence adapter — pull current attestations from Vanta/Drata via API
- v2.0: Smart RFP-response — given a full RFP doc, pre-draft the entire response
Built By
Elisabeth Hitz — 10+ years of B2B enterprise sales experience. Worked sales engineering and RFP responses across SaaS verticals.
License: MIT
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.