# Omentir

Hooks your agent into an Omentir workspace so it can surface LinkedIn prospects, draft messages and run campaigns at a pace that looks human.

- MCP server · `type=mcp` · Claude Code, Codex, Cursor, GitHub Copilot, Windsurf (Devin Desktop), Cline, Zed · ★ 51
- Author: vanshyadav1408
- License: MIT · policy=link-only · description only; the file stays with the author
- Source: https://github.com/vanshyadav1408/Omentir
- Updated: 2026-10-20
- HTML: https://affpapa.org/en/nevibecode/mcp/omentir

## What it does

The endpoint lives at `https://omentir.com/api/agent/v1/mcp` and speaks HTTP. Behind it sits lead search on LinkedIn, contextual message drafts, campaigns with slow sending, and reply handling. Ask the assistant for a standard lead finder, or for a `steal_customers` run that takes competitor company URLs as input. With several companies on the account, have it list workspaces and switch.

Chat apps connect through Connectors with a sign-in and an approval step, no API key involved. Cursor, Claude and scripts need a key from the API page, sent as `Authorization: Bearer <token>` — the same token covers the REST routes under `/api/agent/v1/*`. Your LinkedIn password never goes to the agent; the account is linked inside Omentir itself.

The server belongs to an app you can host yourself, and that route is not offline: bring your own Firebase, Unipile and access to Google AI, either a Gemini key or a Vertex AI project in Google Cloud. Self-hosting drops the Omentir subscription, yet those providers can still bill you. Local setup wants Git plus Docker Compose or Bun 1.3, and `.env` has to carry the required secrets. Miss `LOCAL_SESSION_SECRET` at the right length and the app refuses to boot.

## Requirements
- Remote server: `https://omentir.com/api/agent/v1/mcp`

## Install

### Claude Code (native platform)

**Platform CLI: remote server**
```bash
claude mcp add --transport http omentir https://omentir.com/api/agent/v1/mcp
```

### Codex

**Platform CLI: remote server**
```bash
codex mcp add omentir --url https://omentir.com/api/agent/v1/mcp
```

### Cursor

**Config file**
File `.cursor/mcp.json`:
```json
{
    "mcpServers": {
        "omentir": {
            "url": "https://omentir.com/api/agent/v1/mcp"
        }
    }
}
```

### GitHub Copilot

**Config file**
File `.vscode/mcp.json`:
```json
{
    "servers": {
        "omentir": {
            "type": "http",
            "url": "https://omentir.com/api/agent/v1/mcp"
        }
    }
}
```

### Gemini CLI

**Platform CLI: remote server**
```bash
gemini mcp add -t http omentir https://omentir.com/api/agent/v1/mcp
```

## When to use it
- find LinkedIn people who match an ideal-customer profile
- draft a first message tuned to someone's profile context
- launch a campaign with restrained sending pace
- sort incoming replies and hand them to the agent
- turn competitor URLs into a prospect list via `steal_customers`

## Example prompts
- Connect Omentir and list my workspaces
- Find 20 fintech contacts on LinkedIn and write drafts for each
- Create a `steal_customers` agent for these competitor URLs

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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