How do I get DevCycle API credentials?

Log in to your DevCycle dashboard, navigate to **Settings > Organization > API Management**, and create a new Client ID and Client Secret.

Can the agent toggle feature flags?

Yes, you can use the update_feature_flag_status tool to set a flag to 'active' or 'archived' directly from the agent.

Does the integration show SDK keys?

Yes, the get_environment_sdk_keys tool allows the agent to retrieve the specific identifiers needed for your web, mobile, or server-side SDKs.

DevCycle MCP Server for LangChain 10 tools — connect in under 2 minutes

Name: DevCycle
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

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

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 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({
        "devcycle": {
            "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 DevCycle, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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Ed25519Audit chain

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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 DevCycle MCP Server

Integrate DevCycle, the modern feature flag and experimentation platform, directly into your AI workflow. Manage your feature flags across projects, monitor staging and production environments, and audit targeting rules and variations using natural language.

LangChain's ecosystem of 500+ components combines seamlessly with DevCycle through native MCP adapters. Connect 10 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 Flag Management — List, search, and retrieve detailed configuration for all your feature flags.
Environment Oversight — Monitor project environments, retrieve SDK keys, and track deployment statuses.
Variable & Variation Tracking — List all defined variables and their variations to ensure technical consistency.
Operational Control — Update feature flag statuses (active/archived) directly via chat.

The DevCycle MCP Server exposes 10 tools through the Vinkius. Connect it to LangChain 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 DevCycle to LangChain via MCP

Follow these steps to integrate the DevCycle MCP Server with LangChain.

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 10 tools from DevCycle via MCP

Why Use LangChain with the DevCycle MCP Server

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

The largest ecosystem of integrations, chains, and agents. combine DevCycle 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 DevCycle queries for multi-turn workflows

DevCycle + LangChain Use Cases

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

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

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

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

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

DevCycle MCP Tools for LangChain (10)

These 10 tools become available when you connect DevCycle to LangChain via MCP:

get_environment_sdk_keys

List SDK keys for all environments in a project

get_feature_flag_details

Get full configuration and targeting rules for a specific feature flag

get_project_details

Get detailed information for a specific DevCycle project

list_active_flags

Identify feature flags that are currently active

list_devcycle_projects

List all projects in your DevCycle account

list_feature_flags

g. release, ops), and current statuses. List all feature flags within a specific project

list_feature_variables

List all variables defined in a project

list_project_environments

List all environments (e.g. Production, Staging) for a project

search_feature_flags

Search for feature flags in a project by keyword

update_feature_flag_status

Update the status (e.g. active, archived) of a feature flag

Example Prompts for DevCycle in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with DevCycle immediately.

"List all feature flags in the project 'Main-App'."

"Show me the configuration for the 'Beta-Feature' flag."

"What are the SDK keys for our 'Production' environment?"

Troubleshooting DevCycle MCP Server with LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

DevCycle + LangChain FAQ

Common questions about integrating DevCycle 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.