Flipt MCP Server for LangChainGive LangChain instant access to 9 tools to Create Constraint, Create Distribution, Create Variant, and more
LangChain is the leading Python framework for composable LLM applications. Connect Flipt through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
Ask AI about this MCP Server for LangChain
The Flipt MCP Server for LangChain is a standout in the Developer Tools category — giving your AI agent 9 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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({
"flipt": {
"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 Flipt, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
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 Flipt MCP Server
Connect your Flipt instance to any AI agent to orchestrate feature management and progressive delivery through natural conversation.
LangChain's ecosystem of 500+ components combines seamlessly with Flipt through native MCP adapters. Connect 9 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
- Flag Management — List and inspect feature flags across different namespaces to understand your current feature states
- Targeting & Segments — Retrieve segments and create constraints to define specific user subsets for targeted rollouts
- Rollout Control — List rules and rollouts, and create distributions to manage percentage-based releases and canary deployments
- Variants — Create and manage flag variants to return different values based on evaluation logic
- Auth & Infrastructure — List authentication tokens and namespaces to understand your environment's structure and access levels
The Flipt MCP Server exposes 9 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 9 Flipt tools available for LangChain
When LangChain connects to Flipt through Vinkius, your AI agent gets direct access to every tool listed below — spanning feature-flags, rollouts, targeting, 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 constraint on Flipt
Create a constraint for a segment
Create distribution on Flipt
Create a distribution for a rule
Create variant on Flipt
Create a new variant for a flag
List flags on Flipt
List flags in a namespace
List namespaces on Flipt
List all namespaces
List rollouts on Flipt
List rollouts for a flag
List rules on Flipt
List rules for a flag
List segments on Flipt
List segments in a namespace
List tokens on Flipt
List authentication tokens
Connect Flipt to LangChain via MCP
Follow these steps to wire Flipt into LangChain. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install dependencies
pip install langchain langchain-mcp-adapters langgraph langchain-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
python agent.pyExplore tools
Why Use LangChain with the Flipt MCP Server
LangChain provides unique advantages when paired with Flipt through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Flipt 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 Flipt queries for multi-turn workflows
Flipt + LangChain Use Cases
Practical scenarios where LangChain combined with the Flipt MCP Server delivers measurable value.
RAG with live data: combine Flipt tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Flipt, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Flipt tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Flipt tool call, measure latency, and optimize your agent's performance
Example Prompts for Flipt in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Flipt immediately.
"List all namespaces in my Flipt instance."
"Show me all the feature flags in the 'default' namespace."
"Create a new variant called 'v2-test' for the 'header-experiment' flag in the 'default' namespace."
Troubleshooting Flipt MCP Server with LangChain
Common issues when connecting Flipt to LangChain through Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersFlipt + LangChain FAQ
Common questions about integrating Flipt MCP Server with LangChain.
How does LangChain connect to MCP servers?
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?
Can I trace MCP tool calls in LangSmith?
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