Can I search for specific keywords across all my company's recorded calls?

Yes! Use the `search_calls` tool to filter calls by content, participants, or specific trackers. You can then use `get_transcript` to analyze exactly how those terms were used in context.

Does this integration provide access to the actual audio or video recording?

The `get_call_media` tool provides details about the media associated with a call. For security reasons, the AI primarily analyzes the text-based transcript and metadata, but it can provide links to the recording on the Gong platform.

How current is the data retrieved by the AI agent?

The integration queries Gong's API in real-time. As soon as a call is processed and available in your Gong dashboard, it can be retrieved and analyzed by your AI agent.

Gong MCP Server for LlamaIndex 12 tools — connect in under 2 minutes

Name: Gong
Availability: InStock
Author: Vinkius

docs.llamaindex.ai/en/stable/module_guides/tools/mcp

Built by Vinkius GDPR 12 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Gong as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to Gong. "
            "You have 12 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Gong?"
    )
    print(response)

asyncio.run(main())

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About Gong MCP Server

Connect your Gong organizational account to your AI agent and gain deep insights into your sales conversations and customer interactions. Use natural language to query transcripts, analyze team performance, and track deal progress.

LlamaIndex agents combine Gong tool responses with indexed documents for comprehensive, grounded answers. Connect 12 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

What you can do

Call Analysis — List recent calls, search for specific keywords, and retrieve full transcripts for deep-dive analysis
User & Team Insights — Monitor team activity and retrieve interaction statistics to understand coaching opportunities
Account Management — Access CRM accounts linked in Gong to see the full context of every deal and relationship
Tracker Monitoring — List and monitor configured trackers to identify recurring themes and competitive mentions in real-time
Scorecards & Reviews — Access call scorecards to see how conversations align with your organization's sales methodology

The Gong MCP Server exposes 12 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Gong to LlamaIndex via MCP

Follow these steps to integrate the Gong MCP Server with LlamaIndex.

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 12 tools from Gong

Why Use LlamaIndex with the Gong MCP Server

LlamaIndex provides unique advantages when paired with Gong through the Model Context Protocol.

Data-first architecture: LlamaIndex agents combine Gong tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain Gong tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query Gong, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what Gong tools were called, what data was returned, and how it influenced the final answer

Gong + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the Gong MCP Server delivers measurable value.

Hybrid search: combine Gong real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query Gong to augment indexed data with live information before generating user-facing responses

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Gong for fresh data

Analytical workflows: chain Gong queries with LlamaIndex's data connectors to build multi-source analytical reports

Gong MCP Tools for LlamaIndex (12)

These 12 tools become available when you connect Gong to LlamaIndex via MCP:

get_account

Get details for a specific account

get_call

Get details for a specific call

get_call_media

Get the media/recording details for a call

get_interaction_stats

Get aggregated interaction statistics

get_transcript

Retrieve the transcript of a call

get_user

Get details for a specific user

list_accounts

List CRM accounts linked in Gong

list_calls

List Gong calls

list_scorecards

List scorecards used for call reviews

list_trackers

List configured trackers (keywords/phrases)

list_users

List Gong users

search_calls

Search for calls with complex filters

Example Prompts for Gong in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with Gong immediately.

"Summarize the transcript for call ID 839201."

"Which calls last week mentioned our competitor 'CompetitorX'?"

"Show me the interaction stats for user Marcus R. for the last 30 days."

Troubleshooting Gong MCP Server with LlamaIndex

Common issues when connecting Gong to LlamaIndex through the Vinkius, and how to resolve them.

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Gong + LlamaIndex FAQ

Common questions about integrating Gong MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.