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pipeline-mcp

v2.2.0

Published

Thin JSON-RPC MCP proxy for Pipeline. 84 tools for LinkedIn outreach automation (find ideal prospects, enrich company data, score ICP, generate personalized messages, launch campaigns). Works in Claude Code, Cursor, Codex, Claude Desktop, and any MCP-awar

Readme

pipeline-mcp

Use Pipeline — an AI-powered LinkedIn outreach platform — directly from Claude Code, Cursor, Codex, Claude Desktop, or any MCP-aware AI agent.

75 tools for campaigns, prospects, enrichment, research, signals, content, CRM, conversations, analytics, workflows, and composite automations (zero-to-outreach, build-campaign-from-table).

v2.1 is a thin proxy. All tools live on the server at pipeline.help/api/mcp-server. When Pipeline ships a feature, this client sees it immediately — no updates, no drift.


Install

Claude Code

Add to ~/.claude.json (or run claude mcp add):

{
  "mcpServers": {
    "pipeline": {
      "command": "npx",
      "args": ["-y", "pipeline-mcp", "--api-key", "pipeline_pk_YOUR_KEY"]
    }
  }
}

Cursor

Add to your Cursor MCP config:

{
  "mcpServers": {
    "pipeline": {
      "command": "npx",
      "args": ["-y", "pipeline-mcp", "--api-key", "pipeline_pk_YOUR_KEY"]
    }
  }
}

Claude Desktop

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "pipeline": {
      "command": "npx",
      "args": ["-y", "pipeline-mcp", "--api-key", "pipeline_pk_YOUR_KEY"]
    }
  }
}

Codex CLI

codex mcp add pipeline npx -y pipeline-mcp --api-key pipeline_pk_YOUR_KEY

Any MCP-aware client

Run pipeline-mcp --api-key pipeline_pk_YOUR_KEY and point your client at its stdio. Or run as HTTP:

pipeline-mcp --http --port 3000 --api-key pipeline_pk_YOUR_KEY

Get an API key

  1. Sign in at pipeline.help
  2. Settings → API Keys → Create new key
  3. Copy the key (shown only once). Format: pipeline_pk_...

Global install

npm i -g pipeline-mcp

Then reference pipeline-mcp directly in your MCP config (skip the npx -y prefix).


Configuration

| Flag | Env | Default | Purpose | |---|---|---|---| | --api-key <key> | PIPELINE_API_KEY | — | Required for stdio | | --base-url <url> | PIPELINE_BASE_URL | https://www.pipeline.help/api | Override for self-hosted / staging | | --http | — | off | Run as local HTTP proxy instead of stdio | | --port <n> | — | 3000 | Port for --http mode | | --version | — | — | Print version | | --help | — | — | Print help |


Tokens vs latency

MCP is great for agentic flows where the AI explores and chains tools. For deterministic "just-do-it" operations, you'll burn fewer tokens with the companion CLI:

npm i -g @pipeline/cli
pipeline login
pipeline list-campaigns --status active

Same auth, same tool surface, zero AI in the loop. See the CLI README.


How it works

Claude Code / Cursor / Codex
        │  (stdio, MCP protocol)
        ▼
    pipeline-mcp (this package, ~250 LOC)
        │  (HTTPS, JSON-RPC 2.0)
        ▼
https://www.pipeline.help/api/mcp-server
        │
        ▼
    75 tools (campaigns, prospects, signals, CRM, …)

All schemas and handlers live on the server. This package is a thin layer of network plumbing. When Pipeline adds a tool, it's immediately callable — no npm update required.


License

MIT © Pipeline