Bring Agile Management
to Pydantic AI
Create your Vinkius account to connect ZenHub to Pydantic AI and start using all 8 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the ZenHub MCP Server?
Connect your ZenHub account to any AI agent to streamline your agile project management on GitHub. This MCP server enables your agent to interact with pipelines, issues, estimates, and epics directly from natural language.
What you can do
- Board Visibility — List all pipelines and issues for specific GitHub repositories or ZenHub workspaces
- Agile Status Management — Move issues between pipelines to update their workflow status instantly
- Precision Estimating — Set and retrieve story point estimates for any GitHub issue
- Epic Oversight — List and inspect ZenHub epics and their constituent issues
- Release Tracking — Access release reports and progress metadata for your projects
How it works
- Subscribe to this server
- Enter your ZenHub API Token
- Start managing your agile workflow from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Software Engineers — Quickly update issue status and estimates from your IDE
- Project Managers — Monitor board health and epic progress via natural language commands
- Scrum Masters — Facilitate planning by querying release reports and team velocity metrics
Built-in capabilities (8)
Get details for a specific epic
Get the ZenHub board for a repository
Get the ZenHub board for a specific workspace and repository
Get ZenHub-specific metadata for a GitHub issue
List release reports for a repository
List all ZenHub epics for a repository
Move an issue to a different pipeline
Set the story point estimate for an issue
Why Pydantic AI?
Pydantic AI validates every ZenHub tool response against typed schemas, catching data inconsistencies at build time. Connect 8 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
- —
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
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Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your ZenHub integration code
- —
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
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Dependency injection system cleanly separates your ZenHub connection logic from agent behavior for testable, maintainable code
ZenHub in Pydantic AI
Why run ZenHub with Vinkius?
The ZenHub connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 8 tools are ready to work instantly without any complex setup.
You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.
* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure
Over 4,000 integrations ready for AI agents
Explore a vast library of pre-built integrations, optimized and ready to deploy.
Connect securely in under 30 seconds
Generate tokens to authenticate and link external services in a single step.
Complete visibility into every agent action
Audit live requests, latency, success rates, and active security compliance policies.
Optimize spending and track token ROI
Analyze real-time token consumption and cost metrics detailed by connection.
Explore our live AI Agents Analytics dashboard to see it all working
This dashboard is included when you connect ZenHub using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
ZenHub and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect ZenHub to Pydantic AI through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.
Raw MCP | Vinkius | |
|---|---|---|
| Ready-to-use MCPs | Find and configure each manually | 4,000+ MCPs ready to use |
| Connection Setup | Manual coding & server setup | 1-click instant connection |
| Server Hosting | You host it yourself (needs 24/7 uptime) | 100% hosted & managed by Vinkius |
| Security & Privacy | Stored in plaintext config files | Bank-grade encrypted vault |
| Activity Visibility | Blind execution (no logs or tracking) | Live dashboard with real-time logs |
| Cost Control | Runaway AI token spend risk | Automatic budget limits |
| Revoking Access | Must delete files or code to stop | 1-click disconnect button |
How Vinkius secures
ZenHub for Pydantic AI
Every request between Pydantic AI and ZenHub is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.
Frequently asked questions
How do I find my GitHub Repository ID?
You can find your Repository ID in your GitHub settings, or use a GitHub MCP server to query your repository metadata.
Can I move an issue to a different pipeline using this agent?
Yes, the move_issue_between_pipelines tool allows you to specify a workspace, repository, issue number, and target pipeline ID to update the status.
Is it possible to set story point estimates?
Absolutely. Use the set_issue_estimate tool with the repository ID, issue number, and your desired point value.
How does Pydantic AI discover MCP tools?
Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.
Does Pydantic AI validate MCP tool responses?
Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.
Can I switch LLM providers without changing MCP code?
Absolutely. Pydantic AI abstracts the model layer. your ZenHub MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.
MCPServerHTTP not found
Update: pip install --upgrade pydantic-ai
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