mcpField
G
Gong

Gong

Remote
pipeworx.ioBusiness & Marketing0Updated 3d ago

About Gong

Gong is an MCP server for accessing Gong API v2 data from a connected workspace. It helps teams review recorded calls, transcripts, participants, and engagement details, and search calls by keyword.

Key features

  1. 01List calls with date filters and pagination
  2. 02Retrieve call details and key moments
  3. 03Fetch timestamped speaker transcripts
  4. 04List workspace users and roles
  5. 05Search calls by keyword or phrase

Use cases

  1. 01Find calls discussing pricing or budget
  2. 02Review a call’s participants and engagement metrics
  3. 03Read a conversation transcript for analysis

MCP support

Exposes Gong API v2 operations as MCP tools. It can run as a local stdio server or connect through the Pipeworx gateway; gateway access requires a connected Gong account.

Configuration

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

Endpointhttps://gateway.pipeworx.io/gong/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-gong

Gong MCP — wraps the Gong API v2 (OAuth)

Part of Pipeworx — an MCP gateway connecting AI agents to 1879+ live data sources. This is an independent, unofficial integration — not affiliated with, endorsed by, or published by the upstream provider.

Tools

ToolDescription
gong_list_callsList recorded calls from your workspace with optional date filtering. Returns call IDs, dates, participants, duration, and engagement metrics. Supports pagination for large result sets.
gong_get_callGet full details for a specific call by ID. Returns participants, duration, call metadata, engagement metrics, and key moments.
gong_get_transcriptRetrieve the full conversation transcript for a call with speaker names, timestamps, and dialogue. Use after gong_get_call to analyze specific conversations.
gong_list_usersList all users in your workspace. Returns user names, IDs, email addresses, roles, and activity status.
gong_search_callsSearch calls by keyword or phrase (e.g., 'pricing', 'objection', 'budget'). Returns matching calls ranked by relevance.

Quick Start

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

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

tools/list at https://gateway.pipeworx.io/gong/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 1879+ 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 runs against a connected gong account, so it needs a Pipeworx key: sign in at https://pipeworx.io/account, connect gong, then call POST https://gateway.pipeworx.io/v1/tools/gong_list_calls with Authorization: Bearer <your Pipeworx key>. Inspect any tool: GET https://gateway.pipeworx.io/v1/tools/gong_list_calls. 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": {
    "gong": {
      "command": "npx",
      "args": ["-y", "@pipeworx/mcp-gong"]
    }
  }
}

Or run it directly to confirm it starts:

npx -y @pipeworx/mcp-gong

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 Gong 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.