mcpField
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Leadconnector

Leadconnector

Remote
pipeworx.ioBusiness & Marketing0Updated 2d ago

About Leadconnector

Leadconnector is an MCP server for AI agents working with GoHighLevel and LeadConnector CRM accounts. It provides tools to search contacts and inspect pipelines, opportunities, and campaigns, using the account holder's API token.

Key features

  1. 01Search or list CRM contacts
  2. 02Retrieve full contact details
  3. 03List sales pipelines and stages
  4. 04View pipeline opportunities
  5. 05List marketing campaigns

Use cases

  1. 01Find CRM contacts by name, email, or phone
  2. 02Review pipeline stages and associated deals
  3. 03Check campaign names and statuses

MCP support

Exposes GoHighLevel/LeadConnector CRM tools to MCP clients. The gateway endpoint includes shared Pipeworx meta-tools, while the standalone stdio server provides only this pack's tools; use requires the account's API token.

Configuration

Remote servers need no local install. Pick your client, then copy the config or install in one click.

Endpointhttps://gateway.pipeworx.io/leadconnector/mcp
Copy install command
Claude CodeTerminal
Cursor.cursor/mcp.json
VS Code.vscode/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json

Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.

Tools

Details

From the project README

mcp-leadconnector

LeadConnector / GoHighLevel MCP Pack — wraps the GoHighLevel CRM for AI agents.

Part of Pipeworx — an MCP gateway connecting AI agents to 1882+ live data sources. This is an independent, unofficial integration — not affiliated with, endorsed by, or published by the upstream provider.

Tools

ToolDescription
leadconnector_list_contactsSearch or list CRM contacts in a GoHighLevel/LeadConnector account. Free-text query matches name, email, or phone. Returns a {contacts:[...], meta} envelope with contact IDs, names, emails, phones, tags, and custom fields. Requires your own GoHighLevel token via _apiKey (plus locationId for a v2 pit- token).
leadconnector_get_contactFetch a single CRM contact by its contact ID. Returns full detail: name, email, phone, tags, source, custom fields, and timestamps. Requires your own GoHighLevel token via _apiKey (plus locationId for a v2 pit- token).
leadconnector_list_pipelinesList all sales pipelines and their stages in the account. Returns a {pipelines:[...]} envelope with pipeline IDs, names, and ordered stages. Use the returned pipeline ID with leadconnector_list_opportunities. Requires your own GoHighLevel token via _apiKey (plus locationId for a v2 pit- token).
leadconnector_list_opportunitiesList opportunities (pipeline deals) for a given pipeline. Requires a pipelineId (get one from leadconnector_list_pipelines). Returns deals with monetary value, stage, status, and the associated contact. Requires your own GoHighLevel token via _apiKey (plus locationId for a v2 pit- token).
leadconnector_list_campaignsList marketing/automation campaigns in the account. Returns a {campaigns:[...]} envelope with campaign IDs, names, and status. Useful for finding a campaign to attribute or enroll contacts. Requires your own GoHighLevel token via _apiKey (plus locationId for a v2 pit- token).

Quick Start

Add to your MCP client (Claude Desktop, Cursor, Windsurf, etc.):

{
  "mcpServers": {
    "leadconnector": {
      "url": "https://gateway.pipeworx.io/leadconnector/mcp"
    }
  }
}
What this endpoint actually serves

tools/list at https://gateway.pipeworx.io/leadconnector/mcp returns the tools in the table above plus the shared Pipeworx meta-tools — ask_pipeworx, discover_tools, search_within, remember/recall and the rest of the gateway-wide set. So the tool count you see is larger than this table: a single-pack endpoint currently lists roughly 30 shared tools alongside the pack's own. The connection's initialize response states its exact scope, and is the authoritative answer for a given day.

This is deliberate, not multiplexing by accident. The meta-tools are what let a scoped connection answer a question this pack does not cover — via ask_pipeworx, which routes across the whole catalog — without you adding a second MCP server. There is currently no way to mount a pack endpoint without them; if the extra schemas cost you more context than the routing is worth, connect to the full gateway once rather than to several pack endpoints.

Or connect to the full Pipeworx gateway to get every pack's tools listed directly, instead of just this one's:

{
  "mcpServers": {
    "pipeworx": {
      "url": "https://gateway.pipeworx.io/mcp"
    }
  }
}

Both URLs reach the same gateway and the same 1882+ data sources. The only difference is which pack's tools are listed directly; ask_pipeworx reaches all of them from either one.

No MCP client? Call it over HTTP

This pack takes your own API key (_apiKey) — we don't front one for it, so there's no curl here that would run without it. Inspect any tool: GET https://gateway.pipeworx.io/v1/tools/leadconnector_list_contacts. Find one: POST https://gateway.pipeworx.io/v1/tools/search_packs with {"query":"..."}.

Standalone (no gateway account)

This package also runs as a local stdio MCP server — no Pipeworx account, no gateway round-trip:

{
  "mcpServers": {
    "leadconnector": {
      "command": "npx",
      "args": ["-y", "@pipeworx/mcp-leadconnector"]
    }
  }
}

Or run it directly to confirm it starts:

npx -y @pipeworx/mcp-leadconnector

It speaks MCP over stdin/stdout and answers initialize/tools/list/tools/call for only this pack's tools — none of the shared meta-tools the gateway connection above adds. Same source, same tools, no ask_pipeworx routing.

Using with ask_pipeworx

Instead of calling tools directly, you can ask questions in plain English — this works on the pack endpoint above as well as on the full gateway:

ask_pipeworx({ question: "your question about Leadconnector data" })

The gateway picks the right tool and fills the arguments automatically.

More

License

MIT

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.