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
- 01Search or list CRM contacts
- 02Retrieve full contact details
- 03List sales pipelines and stages
- 04View pipeline opportunities
- 05List marketing campaigns
Use cases
- 01Find CRM contacts by name, email, or phone
- 02Review pipeline stages and associated deals
- 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.
https://gateway.pipeworx.io/leadconnector/mcpclaude mcp add --transport http pipeworx-io-leadconnector https://gateway.pipeworx.io/leadconnector/mcp{"mcpServers":{"pipeworx-io-leadconnector":{"type":"http","url":"https://gateway.pipeworx.io/leadconnector/mcp"}}}Open in Cursor{"servers":{"pipeworx-io-leadconnector":{"type":"http","url":"https://gateway.pipeworx.io/leadconnector/mcp"}}}Open in VS Code{"mcpServers":{"pipeworx-io-leadconnector":{"type":"http","url":"https://gateway.pipeworx.io/leadconnector/mcp"}}}{"mcpServers":{"pipeworx-io-leadconnector":{"serverUrl":"https://gateway.pipeworx.io/leadconnector/mcp"}}}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 READMEmcp-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
| Tool | Description |
|---|---|
leadconnector_list_contacts | Search 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_contact | Fetch 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_pipelines | List 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_opportunities | List 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_campaigns | List 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
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.