# AutoRFP.ai

Provides AI assistants with read-only access to AutoRFP.ai projects, requirements, and content libraries. Helpful for drafting proposal answers directly inside chat.

- MCP server · `type=mcp` · Claude Code, Codex, Cursor, GitHub Copilot, Windsurf (Devin Desktop), Cline, Zed, Gemini CLI
- Author: AutoRFP
- License: MIT · policy=link-only · description only; the file stays with the author
- Source: https://github.com/AutoRFP/mcp
- Updated: 2026-05-18
- HTML: https://affpapa.org/en/nevibecode/mcp/autorfpai

## What it does

AutoRFP.ai hosts the server on its own infrastructure. You do not run any local processes. Connection endpoints depend on your data storage region: APAC (`https://api.autorfp.ai/mcp`), EU (`https://api.eu.autorfp.ai/mcp`), or US (`https://api.us.autorfp.ai/mcp`). Once configured, the client accesses workspace tags and project requirements alongside reference entries.

The connector operates strictly in read-only mode. It cannot add or alter records. Access controls match each person's existing account permissions. If a project is hidden from your user profile, the model cannot inspect it either.

Connecting requires an active AutoRFP.ai account and a paid subscription tier such as Claude Pro, Team, or Enterprise. Without valid workspace credentials, the OAuth authentication step will fail.

## Requirements
- Remote server: `https://{api_host}/mcp`

## Install

### Claude Code (native platform)

1. **Template address**
- The server address is a template: replace {…} or […] with your own values

2. **Platform CLI: remote server**
```bash
claude mcp add --transport http mcp https://{api_host}/mcp
```

### Codex

1. **Template address**
- The server address is a template: replace {…} or […] with your own values

2. **Platform CLI: remote server**
```bash
codex mcp add autorfpai --url https://{api_host}/mcp
```

### Cursor

1. **Template address**
- The server address is a template: replace {…} or […] with your own values

2. **Config file**
File `.cursor/mcp.json`:
```json
{
    "mcpServers": {
        "autorfpai": {
            "url": "https://{api_host}/mcp"
        }
    }
}
```

### GitHub Copilot

1. **Template address**
- The server address is a template: replace {…} or […] with your own values

2. **Config file**
File `.vscode/mcp.json`:
```json
{
    "servers": {
        "autorfpai": {
            "type": "http",
            "url": "https://{api_host}/mcp"
        }
    }
}
```

### Gemini CLI

1. **Template address**
- The server address is a template: replace {…} or […] with your own values

2. **Platform CLI: remote server**
```bash
gemini mcp add -t http autorfpai https://{api_host}/mcp
```

## When to use it
- search verified response libraries using semantic queries
- review pending proposal deadlines and unaddressed questionnaire items
- filter requirements by organizational compliance tags
- inspect workspace tag taxonomies without opening a web browser

## Example prompts
- "List open RFP submissions that are due within the next fourteen days."
- "Search our verified answers for paragraphs explaining our GDPR data protection policies."
- "Show in-progress projects labeled Security that still have unassigned questions."

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