Yodiz MCP Server for LangChain 6 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Yodiz 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
Vinkius supports streamable HTTP and SSE.
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({
"yodiz": {
"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 Yodiz, 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 Yodiz MCP Server
Connect your Yodiz account to any AI agent and manage your agile development lifecycle through natural conversation.
LangChain's ecosystem of 500+ components combines seamlessly with Yodiz 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
- Requirement Tracking — List and browse user stories within your projects to monitor requirements and backlog items
- Release Management — Browse all sprints (iterations) and retrieve sprint IDs to monitor release timelines and progress
- Defect Monitoring — List and track bugs and technical debt items for any specific project ID to ensure software quality
- Roadmap Planning — Access epics to see the macro-level roadmap and strategic business goals directly from your agent
- Project Discovery — List all agile projects and workspaces to retrieve numeric IDs for granular task management
- Team Directory — List all registered users in your workspace to find colleague IDs for task assignment and mentions
- Agile Insights — Quickly surface high-level features and iteration details required for automated project reporting
The Yodiz 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.
How to Connect Yodiz to LangChain via MCP
Follow these steps to integrate the Yodiz 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 6 tools from Yodiz via MCP
Why Use LangChain with the Yodiz MCP Server
LangChain provides unique advantages when paired with Yodiz through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Yodiz 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 Yodiz queries for multi-turn workflows
Yodiz + LangChain Use Cases
Practical scenarios where LangChain combined with the Yodiz MCP Server delivers measurable value.
RAG with live data: combine Yodiz tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Yodiz, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Yodiz tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Yodiz tool call, measure latency, and optimize your agent's performance
Yodiz MCP Tools for LangChain (6)
These 6 tools become available when you connect Yodiz to LangChain via MCP:
list_bugs
Lists bugs and issues for a specific project
list_epics
Lists epics (high-level features) for a project
list_projects
Lists all agile projects in the Yodiz account
list_sprints
Lists all sprints (iterations) for a specific project
list_user_stories
Provide the numeric project ID. Lists user stories for a specific Yodiz project
list_users
Lists all registered users in the Yodiz workspace
Example Prompts for Yodiz in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Yodiz immediately.
"List all active projects in Yodiz."
"Show me the user stories for project ID 102."
"What sprints are scheduled for project ID 101?"
Troubleshooting Yodiz MCP Server with LangChain
Common issues when connecting Yodiz to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersYodiz + LangChain FAQ
Common questions about integrating Yodiz 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?
Connect Yodiz with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Yodiz to LangChain
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.