ONES MCP Server for LangChain 10 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect ONES 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({
"ones": {
"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 ONES, 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 ONES MCP Server
Empower your AI agent to orchestrate your R&D lifecycle with ONES, the leading enterprise project management platform. By connecting ONES to your agent, you transform complex issue tracking, requirement management, and workflow auditing into a natural conversation. Your agent can instantly list your projects, create new tasks, update statuses, and even browse team members without you needing to navigate the comprehensive ONES dashboard. Whether you are following Scrum, Kanban, or Waterfall, your agent acts as a real-time R&D assistant, keeping your projects organized and your team aligned.
LangChain's ecosystem of 500+ components combines seamlessly with ONES 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
- Project Management — List all accessible projects and retrieve detailed information about your R&D workspace.
- Task Operations — Create, update, and track tasks with full support for summaries, descriptions, and assignees.
- Workflow Auditing — Browse project workflows and task types to understand your team's development process.
- Team Coordination — List organization members to manage assignments and collaboration effectively.
- Organization Insights — Retrieve high-level summaries of your ONES organization activity.
The ONES 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 ONES to LangChain via MCP
Follow these steps to integrate the ONES 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 ONES via MCP
Why Use LangChain with the ONES MCP Server
LangChain provides unique advantages when paired with ONES through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine ONES 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 ONES queries for multi-turn workflows
ONES + LangChain Use Cases
Practical scenarios where LangChain combined with the ONES MCP Server delivers measurable value.
RAG with live data: combine ONES tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query ONES, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain ONES tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every ONES tool call, measure latency, and optimize your agent's performance
ONES MCP Tools for LangChain (10)
These 10 tools become available when you connect ONES to LangChain via MCP:
create_task
Create a new ONES task
get_org_info
Get organization summary
get_project
Get project details
get_task_details
Get task details
list_members
List organization members
list_projects
List all ONES projects
list_task_types
g., bug, task, story). List task types
list_tasks
List tasks in a project
list_workflows
List project workflows
update_task
Update an existing ONES task
Example Prompts for ONES in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with ONES immediately.
"List all my active R&D projects on ONES."
"Create a new task in project 'Mobile SDK' titled 'Implement OAuth2 login'."
"Show me the recent activity summary for our organization."
Troubleshooting ONES MCP Server with LangChain
Common issues when connecting ONES to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersONES + LangChain FAQ
Common questions about integrating ONES 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 ONES 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 ONES to LangChain
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
