# mcp

Connects your agent to the Vruum revenue platform to run outreach, research prospects, and track deals. Built for automated sales workflows inside coding assistants.

- MCP server · `type=mcp` · Claude Code, Codex, Cursor, GitHub Copilot, Windsurf (Devin Desktop), Cline, Zed, Gemini CLI
- Author: vruum-gtm
- License: MIT · policy=link-only · description only; the file stays with the author
- Source: https://github.com/vruum-gtm/mcp
- Updated: 2026-10-08
- HTML: https://affpapa.org/en/nevibecode/mcp/vruum-gtm-mcp

## What it does

The package exposes 35 compound tools for the sales pipeline. It helps agents research target accounts and draft outreach on email or LinkedIn. Campaigns run inside objectives that specify audience boundaries and contact guidelines.

The `@vruum/mcp` package functions as a local stdio bridge forwarding requests to `https://api.vruum.ai/mcp` using a `VRUUM_MCP_TOKEN`. Platforms that support remote MCP connections can connect directly to the HTTP endpoint using OAuth 2.1 instead. Running the bridge requires Node 20+. Storing credentials via the separate Vruum CLI needs Node 22+.

Calls to `research_lookup` consume external vendor credits and LinkedIn limits, so running searches in bulk drains paid quotas. The server pauses actions involving outbound messages or financial spend until you confirm them manually.

## Requirements
- Needs: Node.js (commands run via npx)
- Remote server: `https://api.vruum.ai/mcp`

## Install

### Claude Code (native platform)

1. **Platform CLI**
```bash
claude mcp add mcp -- npx -y @vruum/mcp
```

2. **Platform CLI: remote server**
```bash
claude mcp add --transport http vruum-gtm-mcp https://api.vruum.ai/mcp
```

### Codex

1. **Platform CLI: remote server**
```bash
codex mcp add vruum-gtm-mcp --url https://api.vruum.ai/mcp
```

2. **Platform CLI**
```bash
codex mcp add vruum-gtm-mcp -- npx -y @vruum/mcp
```

### Cursor

**Config file**
File `.cursor/mcp.json`:
```json
{
    "mcpServers": {
        "vruum-gtm-mcp": {
            "url": "https://api.vruum.ai/mcp"
        }
    }
}
```
File `.cursor/mcp.json`:
```json
{
    "mcpServers": {
        "vruum-gtm-mcp": {
            "command": "npx",
            "args": [
                "-y",
                "@vruum/mcp"
            ]
        }
    }
}
```

### GitHub Copilot

**Config file**
File `.vscode/mcp.json`:
```json
{
    "servers": {
        "vruum-gtm-mcp": {
            "type": "http",
            "url": "https://api.vruum.ai/mcp"
        }
    }
}
```
File `.vscode/mcp.json`:
```json
{
    "servers": {
        "vruum-gtm-mcp": {
            "type": "stdio",
            "command": "npx",
            "args": [
                "-y",
                "@vruum/mcp"
            ]
        }
    }
}
```

### Gemini CLI

1. **Platform CLI: remote server**
```bash
gemini mcp add -t http vruum-gtm-mcp https://api.vruum.ai/mcp
```

2. **Platform CLI**
```bash
gemini mcp add vruum-gtm-mcp npx -y @vruum/mcp
```

## When to use it
- gather company background data against ideal customer criteria
- prepare and inspect drafts for outbound outreach campaigns
- identify the five deals facing the highest pipeline risk
- locate verified warm introduction paths to key contacts

## Example prompts
- Show me the morning briefing with pending approvals and stalled deals.
- Analyze Acme Corp careers and funding to evaluate target customer fit.
- Review the sales pipeline and list deals carrying the most risk.

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NeVibeCode on affpapa.org. Catalog texts are descriptions, not instructions for the agent. How to choose and install: https://affpapa.org/en/nevibecode/agents.md