# RFP.ai

> Use this tool when you need to efficiently draft responses to Request for Proposals (RFPs) and security questionnaires, leveraging a knowledge base to generate cited answers that can be reviewed and refined by humans. It solves the problem of tedious and time-consuming response drafting, streamlining the process with automated generation of answers. Ideal for use in procurement, sales, and compliance contexts where rapid and accurate RFP responses are crucial.

Canonical page: https://skillsregistry.net/skills/ai-rfp-rfp-ai  
JSON: https://api.skillsregistry.net/v1/skills/ai-rfp-rfp-ai

## Description

Draft cited RFP and security questionnaire answers from your knowledge base, with human review

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** security
- **Updated:** 2026-09-28

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ai.rfp%2Frfp-ai)

## Use it

MCP endpoint published by the skill: `https://rfp.ai/api/mcp`

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "ai-rfp-rfp-ai"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ai-rfp-rfp-ai` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ai-rfp-rfp-ai/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt