TAPD MCP Server for LangChain 10 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect TAPD through the 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({
"tapd": {
"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 TAPD, 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 TAPD MCP Server
Empower your AI agent to orchestrate your agile development lifecycle with TAPD, the professional collaboration platform by Tencent. By connecting TAPD to your agent, you transform complex requirement tracking, bug management, and iteration planning into a natural conversation. Your agent can instantly list your workspaces, create new stories, track defects, and even monitor sprint progress without you ever needing to navigate the complex TAPD enterprise interface. Whether you are following Scrum or Kanban, your agent acts as a real-time product assistant, keeping your development pipeline organized and your team aligned.
LangChain's ecosystem of 500+ components combines seamlessly with TAPD through native MCP adapters. Connect 10 tools via the 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
- Workspace Management — List all accessible workspaces and retrieve detailed information about your development environment.
- Requirement Tracking — Create and track stories (requirements) with full support for titles and detailed descriptions.
- Defect Management — List and create bugs to keep your quality assurance process moving efficiently.
- Task Operations — Manage granular tasks within your workspaces to stay on top of daily development activities.
- Iteration Monitoring — Browse workspace iterations (sprints) to track project milestones and delivery schedules.
- Team Overview — List workspace members to manage assignments and collaboration effectively.
The TAPD 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 TAPD to LangChain via MCP
Follow these steps to integrate the TAPD 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 TAPD via MCP
Why Use LangChain with the TAPD MCP Server
LangChain provides unique advantages when paired with TAPD through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents — combine TAPD 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 TAPD queries for multi-turn workflows
TAPD + LangChain Use Cases
Practical scenarios where LangChain combined with the TAPD MCP Server delivers measurable value.
RAG with live data: combine TAPD tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query TAPD, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain TAPD tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every TAPD tool call, measure latency, and optimize your agent's performance
TAPD MCP Tools for LangChain (10)
These 10 tools become available when you connect TAPD to LangChain via MCP:
create_bug
Create a new TAPD bug
create_story
Create a new TAPD story
create_task
Create a new TAPD task
get_workspace
Get workspace details
list_bugs
List bugs in a workspace
list_iterations
List workspace iterations
list_members
List workspace members
list_stories
List stories in a workspace
list_tasks
List tasks in a workspace
list_workspaces
List all TAPD workspaces
Example Prompts for TAPD in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with TAPD immediately.
"List all my active workspaces on TAPD."
"Create a new bug in workspace 'Mobile App V2' titled 'App crashes on splash screen'."
"Show me the iterations for project 'Cloud Infrastructure'."
Troubleshooting TAPD MCP Server with LangChain
Common issues when connecting TAPD to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersTAPD + LangChain FAQ
Common questions about integrating TAPD 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 TAPD 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 TAPD to LangChain
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.