# AutoRFP.ai

> Use this tool when you need to quickly find answers to RFP-related questions or analyze project requirements. AutoRFP.ai solves problems related to searching and understanding complex project information, providing a content library and tags for efficient Q&A and analytics. It takes in search queries as input and outputs relevant project data, requirements, and insights, making it ideal for use cases where rapid information retrieval is crucial.

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

## Description

Search AutoRFP.ai projects, requirements, content library, and tags for Q&A and analytics.

## Trust

- **Trust score (0–1):** 0.98
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ai.autorfp%2Fmcp)
- **Repository:** <https://github.com/AutoRFP/mcp>

## Use it

MCP endpoint published by the skill: `https://{api_host}/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-autorfp-mcp"
    }
  }
}
```

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