GrowthBook MCP Server for LlamaIndexGive LlamaIndex instant access to 15 tools to Create Environment, Create Feature, Create Project, and more

Name: GrowthBook
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

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

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The GrowthBook MCP Server for LlamaIndex is a standout in the Developer Tools category — giving your AI agent 15 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

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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 GrowthBook. "
            "You have 15 tools available."
        ),
    )

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

asyncio.run(main())

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* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About GrowthBook MCP Server

Connect your GrowthBook account to any AI agent to streamline your experimentation and feature management workflows through natural language.

LlamaIndex agents combine GrowthBook tool responses with indexed documents for comprehensive, grounded answers. Connect 15 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

Feature Management — List, create, and toggle feature flags across production and staging environments to control rollouts.
Project Control — Organize your experimentation roadmap by managing projects, their descriptions, and specific settings.
Environment Visibility — Audit and list all configured environments to ensure flags are deployed correctly across your stack.
Full Lifecycle — Create, update, or delete projects and environments as your infrastructure and team needs evolve.
Deep Inspection — Retrieve detailed metadata for specific features and projects to understand their current configuration and state.

The GrowthBook MCP Server exposes 15 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 15 GrowthBook tools available for LlamaIndex

When LlamaIndex connects to GrowthBook through Vinkius, your AI agent gets direct access to every tool listed below — spanning feature-flags, a-b-testing, experimentation, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

create

Create environment on GrowthBook

Create a new GrowthBook environment

create

Create feature on GrowthBook

Create a new GrowthBook feature flag (v2)

create

Create project on GrowthBook

Create a new GrowthBook project

delete

Delete environment on GrowthBook

Delete a GrowthBook environment

delete

Delete feature on GrowthBook

Delete a GrowthBook feature flag (v2)

delete

Delete project on GrowthBook

Delete a GrowthBook project

get

Get feature on GrowthBook

Get a single GrowthBook feature flag (v2)

get

Get project on GrowthBook

Get a single GrowthBook project by ID

list

List environments on GrowthBook

g., production, staging) used for per-environment feature flag control. List all GrowthBook environments

list

List features on GrowthBook

List all GrowthBook feature flags (v2)

list

List projects on GrowthBook

List all GrowthBook projects

toggle

Toggle feature on GrowthBook

Toggle a GrowthBook feature flag on or off

update

Update environment on GrowthBook

Update an existing GrowthBook environment

update

Update feature on GrowthBook

Partially update a GrowthBook feature flag (v2)

update

Update project on GrowthBook

Edit an existing GrowthBook project

Connect GrowthBook to LlamaIndex via MCP

Follow these steps to wire GrowthBook into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

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 15 tools from GrowthBook

Why Use LlamaIndex with the GrowthBook MCP Server

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

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

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

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

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

GrowthBook + LlamaIndex Use Cases

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

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

Data enrichment: query GrowthBook 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 GrowthBook for fresh data

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

Example Prompts for GrowthBook in LlamaIndex

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

"List all feature flags for the project 'frontend-v2'."

"Enable the 'dark-mode-beta' feature flag in production."

"Get the details and settings for project ID 'proj_123'."

Troubleshooting GrowthBook MCP Server with LlamaIndex

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

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

GrowthBook + LlamaIndex FAQ

Common questions about integrating GrowthBook 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.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query GrowthBook tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.

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