How do I find my Teambition App ID and Secret?

Log in to the [Teambition Open Platform](https://open.teambition.com/), navigate to the 'Developer Center', and create a new application. Your App ID and App Secret will be generated there.

Can I assign tasks to specific team members?

Yes. When using `create_task` or `update_task`, you can provide an `executorId` to assign the task to a specific user. You can find user IDs using the `list_members` or `list_users` tools.

Does this server support Kanban stages?

Yes. You can use `list_task_groups` to see your project's lists and `list_stages` to see the specific columns (stages) within those groups, allowing you to track exactly where a task is in the workflow.

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

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

asyncio.run(main())

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Ed25519Audit chain

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Teambition MCP Server

Empower your AI agent to orchestrate your team's productivity with Teambition, the leading collaboration platform under Alibaba Group. By connecting Teambition to your agent, you transform complex project tracking and task assignment into a natural conversation. Your agent can instantly list your projects, create new tasks, update statuses, and even browse organization members without you ever touching the web interface. Whether you are managing a software development sprint or a marketing campaign, your agent acts as a real-time project assistant, keeping your workspace organized and your team aligned.

LangChain's ecosystem of 500+ components combines seamlessly with Teambition 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, get detailed info, and monitor overall progress.
Task Operations — Create, update, and track tasks with full support for descriptions, assignees, and due dates.
Workflow Visualization — Browse task groups and stages to understand your Kanban or list-based workflows.
Team Coordination — List project members and organization users to manage assignments effectively.
Organization Insights — Retrieve high-level information about your Teambition organization structure.

The Teambition 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 Teambition to LangChain via MCP

Follow these steps to integrate the Teambition 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 Teambition via MCP

Why Use LangChain with the Teambition MCP Server

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

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

Teambition + LangChain Use Cases

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

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

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

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

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

Teambition MCP Tools for LangChain (10)

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

create_task

Create a new Teambition task

get_org_info

Get organization details

get_project

Get Teambition project details

list_members

List project members

list_projects

List all Teambition projects

list_stages

List stages in a task group

list_task_groups

List task groups in a project

list_tasks

List tasks in a project

list_users

List organization users

update_task

Update an existing Teambition task

Example Prompts for Teambition in LangChain

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

"List all my active projects on Teambition."

"Create a task in project 'Product Launch' titled 'Review landing page copy'."

"Show me the tasks for project 'Internal Audit'."

Troubleshooting Teambition MCP Server with LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Teambition + LangChain FAQ

Common questions about integrating Teambition 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.