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 LlamaIndex 10 tools — connect in under 2 minutes

Name: Teambition
Availability: InStock
Author: Vinkius

docs.llamaindex.ai/en/stable/module_guides/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Teambition as an MCP tool provider through the Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

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 llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to Teambition. "
            "You have 10 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Teambition?"
    )
    print(response)

asyncio.run(main())

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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.

LlamaIndex agents combine Teambition tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through the Vinkius and query live data alongside vector stores and SQL databases in a single turn — ideal for hybrid search, data enrichment, and analytical workflows.

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 LlamaIndex 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 LlamaIndex via MCP

Follow these steps to integrate the Teambition MCP Server with LlamaIndex.

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 10 tools from Teambition

Why Use LlamaIndex with the Teambition MCP Server

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

Data-first architecture: LlamaIndex agents combine Teambition tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain Teambition tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query Teambition, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what Teambition tools were called, what data was returned, and how it influenced the final answer

Teambition + LlamaIndex Use Cases

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

Hybrid search: combine Teambition real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query Teambition to augment indexed data with live information before generating user-facing responses

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Teambition for fresh data

Analytical workflows: chain Teambition queries with LlamaIndex's data connectors to build multi-source analytical reports

Teambition MCP Tools for LlamaIndex (10)

These 10 tools become available when you connect Teambition to LlamaIndex 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 LlamaIndex

Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex

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

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Teambition + LlamaIndex FAQ

Common questions about integrating Teambition MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Teambition tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.