How do I find my TAPD API User and Password?

Log in to TAPD, go to Company Management (公司管理) → Open Integration (开放集成) → API Account Management (API 账号管理), and generate your credentials there.

Can I report bugs directly through the agent?

Yes. Use the `create_bug` tool. You will need to provide the workspace ID and a title. You can also add a detailed description with reproduction steps for your developers.

What is a 'Story' in TAPD?

In TAPD, a Story represents a product requirement or feature. You can manage these using the `list_stories` and `create_story` tools to keep your product backlog organized.

TAPD MCP Server for CrewAI 10 tools — connect in under 2 minutes

Name: TAPD
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 10 Tools Framework

Connect your CrewAI agents to TAPD through the Vinkius — pass the Edge URL in the `mcps` parameter and every TAPD tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

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python

from crewai import Agent, Task, Crew

agent = Agent(
    role="TAPD Specialist",
    goal="Help users interact with TAPD effectively",
    backstory=(
        "You are an expert at leveraging TAPD tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token — get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in TAPD "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 10 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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* 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.

When paired with CrewAI, TAPD becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call TAPD tools autonomously — one agent queries data, another analyzes results, a third compiles reports — all orchestrated through the Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI via MCP

Follow these steps to integrate the TAPD MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py — CrewAI auto-discovers 10 tools from TAPD

Why Use CrewAI with the TAPD MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with TAPD through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles — one agent researches, another analyzes, a third generates reports — each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass the Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

TAPD + CrewAI Use Cases

Practical scenarios where CrewAI combined with the TAPD MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries TAPD for raw data, then a second analyst agent cross-references findings and flags anomalies — all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries TAPD, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain TAPD tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries TAPD against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

TAPD MCP Tools for CrewAI (10)

These 10 tools become available when you connect TAPD to CrewAI 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 CrewAI

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

Common issues when connecting TAPD to CrewAI through the Vinkius, and how to resolve them.

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts — check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

The Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

TAPD + CrewAI FAQ

Common questions about integrating TAPD MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily — when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.