Statsig MCP Server for LangChainGive LangChain instant access to 12 tools to Check Gate, Create Dynamic Config, Create Gate, and more

Name: Statsig
Price: 29 USD
Availability: InStock
Rating: 0.2 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

LangChain is the leading Python framework for composable LLM applications. Connect Statsig through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

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The Statsig MCP Server for LangChain is a standout in the Developer Tools category — giving your AI agent 12 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

Claude

ChatGPT

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VS Code

JetBrains

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+ other MCP clients

python

import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "statsig": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Statsig, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

LangChain's ecosystem of 500+ components combines seamlessly with Statsig through native MCP adapters. Connect 12 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain

When LangChain 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

Check gate on Statsig

Requires STATSIG_SERVER_SECRET_KEY. Evaluates one or more feature gates for a user

create

Create dynamic config on Statsig

Requires STATSIG_CONSOLE_API_KEY. Create a new dynamic config

create

Create gate on Statsig

Requires STATSIG_CONSOLE_API_KEY. Create a new feature gate

delete

Delete gate on Statsig

Requires STATSIG_CONSOLE_API_KEY. Delete a feature gate

get

Get config on Statsig

Requires STATSIG_SERVER_SECRET_KEY. Fetches configuration values for a dynamic config or experiment

get

Get dynamic config on Statsig

Requires STATSIG_CONSOLE_API_KEY. Read a specific dynamic config

get

Get gate on Statsig

Requires STATSIG_CONSOLE_API_KEY. Read a specific feature gate

get

Get layer on Statsig

Requires STATSIG_SERVER_SECRET_KEY. Fetches parameter values from a layer

list

List dynamic configs on Statsig

Requires STATSIG_CONSOLE_API_KEY. List all dynamic configs in the project

list

List gates on Statsig

Requires STATSIG_CONSOLE_API_KEY. List all feature gates in the project

log

Log event on Statsig

Requires STATSIG_SERVER_SECRET_KEY. Logs custom events for analytics and metric calculation

update

Update gate on Statsig

Requires STATSIG_CONSOLE_API_KEY. Update an existing feature gate

Connect Statsig to LangChain via MCP

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

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 12 tools from Statsig via MCP

Why Use LangChain with the Statsig MCP Server

LangChain provides unique advantages when paired with Statsig through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine Statsig MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across Statsig queries for multi-turn workflows

Statsig + LangChain Use Cases

Practical scenarios where LangChain combined with the Statsig MCP Server delivers measurable value.

RAG with live data: combine Statsig tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Statsig, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Statsig tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Statsig tool call, measure latency, and optimize your agent's performance

Example Prompts for Statsig in LangChain

Ready-to-use prompts you can give your LangChain 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 LangChain

Common issues when connecting Statsig to LangChain through Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Statsig + LangChain FAQ

Common questions about integrating Statsig MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.