YepCode MCP Server for LangChainGive LangChain instant access to 6 tools to Get Process Details, List Executions, List Processes, and more
LangChain is the leading Python framework for composable LLM applications. Connect YepCode 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 App Connector for LangChain
The YepCode app connector for LangChain is a standout in the Ship It category — giving your AI agent 6 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({
"yepcode": {
"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 YepCode, 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 YepCode MCP Server
Connect your YepCode account to any AI agent and simplify how you automate complex data integrations and serverless workflows through natural conversation.
LangChain's ecosystem of 500+ components combines seamlessly with YepCode through native MCP adapters. Connect 6 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
- Process Control — List and trigger serverless processes with custom parameters directly from your agent.
- Execution Monitoring — Track the history and status of your workflow runs to ensure reliability.
- Secret Management — List and verify account secrets used in your automations without exposing values.
- Team Coordination — Query available teams and workspaces to understand your development environment.
The YepCode MCP Server exposes 6 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.
All 6 YepCode tools available for LangChain
When LangChain connects to YepCode through Vinkius, your AI agent gets direct access to every tool listed below — spanning serverless, workflow-automation, data-integration, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Get details for a specific process
List recent process executions
List YepCode processes
List account secrets
List available teams
Trigger a process execution
Connect YepCode to LangChain via MCP
Follow these steps to wire YepCode into LangChain. The entire setup takes under two minutes — your credentials stay safe behind the 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 YepCode MCP Server
LangChain provides unique advantages when paired with YepCode through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine YepCode 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 YepCode queries for multi-turn workflows
YepCode + LangChain Use Cases
Practical scenarios where LangChain combined with the YepCode MCP Server delivers measurable value.
RAG with live data: combine YepCode tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query YepCode, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain YepCode tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every YepCode tool call, measure latency, and optimize your agent's performance
Example Prompts for YepCode in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with YepCode immediately.
"Show me all available processes in my YepCode account."
"Run the 'Data Export' process with the parameter { "format": "csv" }."
"Check the status of my recent process executions."
Troubleshooting YepCode MCP Server with LangChain
Common issues when connecting YepCode to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersYepCode + LangChain FAQ
Common questions about integrating YepCode 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.