Statsig MCP Server for LlamaIndexGive LlamaIndex instant access to 12 tools to Check Gate, Create Dynamic Config, Create Gate, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Statsig as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
Ask AI about this MCP Server for LlamaIndex
The Statsig MCP Server for LlamaIndex is a standout in the Developer Tools category — giving your AI agent 12 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 Statsig. "
"You have 12 tools available."
),
)
response = await agent.run(
"What tools are available in Statsig?"
)
print(response)
asyncio.run(main())
* 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 Statsig MCP Server
Connect your Statsig project to any AI agent to manage feature rollouts and product experiments through natural conversation.
LlamaIndex agents combine Statsig 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
- Feature Gates — Evaluate if a feature is enabled for a specific user or list all project gates
- Dynamic Configs — Fetch JSON configurations and experiments to control app behavior without code changes
- Event Logging — Log custom events for real-time analytics and metric calculation
- Gate Management — Create, update, or delete feature gates directly via the Console API
- Layer Inspection — Evaluate layers and retrieve parameter values for specific users
The Statsig MCP Server exposes 12 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 12 Statsig tools available for LlamaIndex
When LlamaIndex connects to Statsig through Vinkius, your AI agent gets direct access to every tool listed below — spanning feature-flags, ab-testing, product-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.
Check gate on Statsig
Requires STATSIG_SERVER_SECRET_KEY. Evaluates one or more feature gates for a user
Create dynamic config on Statsig
Requires STATSIG_CONSOLE_API_KEY. Create a new dynamic config
Create gate on Statsig
Requires STATSIG_CONSOLE_API_KEY. Create a new feature gate
Delete gate on Statsig
Requires STATSIG_CONSOLE_API_KEY. Delete a feature gate
Get config on Statsig
Requires STATSIG_SERVER_SECRET_KEY. Fetches configuration values for a dynamic config or experiment
Get dynamic config on Statsig
Requires STATSIG_CONSOLE_API_KEY. Read a specific dynamic config
Get gate on Statsig
Requires STATSIG_CONSOLE_API_KEY. Read a specific feature gate
Get layer on Statsig
Requires STATSIG_SERVER_SECRET_KEY. Fetches parameter values from a layer
List dynamic configs on Statsig
Requires STATSIG_CONSOLE_API_KEY. List all dynamic configs in the project
List gates on Statsig
Requires STATSIG_CONSOLE_API_KEY. List all feature gates in the project
Log event on Statsig
Requires STATSIG_SERVER_SECRET_KEY. Logs custom events for analytics and metric calculation
Update gate on Statsig
Requires STATSIG_CONSOLE_API_KEY. Update an existing feature gate
Connect Statsig to LlamaIndex via MCP
Follow these steps to wire Statsig into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install dependencies
pip install llama-index-tools-mcp llama-index-llms-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use LlamaIndex with the Statsig MCP Server
LlamaIndex provides unique advantages when paired with Statsig through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Statsig tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Statsig tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Statsig, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Statsig tools were called, what data was returned, and how it influenced the final answer
Statsig + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Statsig MCP Server delivers measurable value.
Hybrid search: combine Statsig real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Statsig 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 Statsig for fresh data
Analytical workflows: chain Statsig queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for Statsig in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Statsig immediately.
"Check if the gate 'new_checkout_flow' is enabled for user 'user_99'."
"List all feature gates in my Statsig project."
"Create a new feature gate named 'mobile_redesign' with description 'Testing new UI'."
Troubleshooting Statsig MCP Server with LlamaIndex
Common issues when connecting Statsig to LlamaIndex through Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpStatsig + LlamaIndex FAQ
Common questions about integrating Statsig MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
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