Bring Ci Cd
to Mastra AI
Learn how to connect Woodpecker CI to Mastra AI and start using 34 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the Woodpecker CI MCP Server?
Connect your Woodpecker CI server to any AI agent to automate your continuous integration and deployment workflows through natural language.
What you can do
- Pipeline Control — List, trigger, restart, or cancel pipelines for any repository to keep your builds moving.
- Agent Monitoring — View all connected agents, check their health metrics, and manage task assignments in real-time.
- Repository Management — Activate new repositories, update settings, and repair webhooks without leaving your chat interface.
- Secret & Config Management — Securely handle global, organization, or repository-level secrets and inspect pipeline configurations.
- System Insights — Retrieve server version, health status, and performance metrics to ensure your CI infrastructure is running smoothly.
How it works
- Subscribe to this server
- Provide your Woodpecker Server URL and Personal Access Token
- Start orchestrating your DevOps workflows from Claude, Cursor, or any MCP-compatible client
Who is this for?
- DevOps Engineers — Monitor build agents and troubleshoot failing pipelines using simple queries.
- Software Developers — Trigger builds and check pipeline status directly from the code editor.
- SREs & System Admins — Keep an eye on CI infrastructure health and manage secrets across the organization.
Built-in capabilities (34)
Activate a repository
Cancel a running pipeline
Change repository owner to the current user
Create a new Woodpecker agent
Create a global secret
Create a repository secret
Delete an agent
Delete a pipeline
Deactivate/delete a repository
Get details of a specific agent
Server health check
Prometheus metrics (requires WOODPECKER_PROMETHEUS_AUTH_TOKEN if configured)
Get user permissions for an organization
Get details of a specific pipeline
Get the configuration files used for a pipeline
Get repository details
Get the currently authenticated user
Get server version information
List tasks currently assigned to an agent
List all Woodpecker agents
List global secrets (Admin only)
List agents scoped to an organization
List organization-level secrets
List all organizations
List pipelines for a repository
List repository-level secrets
List all repositories on the server
List all users (Admin only)
Lookup a repository by its full name (slug)
Repair repository webhooks
Restart a pipeline
Trigger a manual pipeline
Update an existing agent
Update repository settings
Why Mastra AI?
Mastra's agent abstraction provides a clean separation between LLM logic and Woodpecker CI tool infrastructure. Connect 34 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
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Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Woodpecker CI without touching business code
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Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
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TypeScript-native: full type inference for every Woodpecker CI tool response with IDE autocomplete and compile-time checks
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One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
Woodpecker CI in Mastra AI
Woodpecker CI and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Woodpecker CI to Mastra AI through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Woodpecker CI in Mastra AI
The Woodpecker CI 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. All 34 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Mastra AI only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* 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
How Vinkius secures
Woodpecker CI for Mastra AI
Every tool call from Mastra AI to the Woodpecker CI MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I trigger a new pipeline build for a specific repository?
Yes. Use the trigger_pipeline tool by providing the repository ID. You can also specify a branch or commit if needed to start a new execution immediately.
How do I check if my build agents are online and healthy?
You can use list_agents to see all connected agents and their status. For more detail on a specific agent, use get_agent or list_agent_tasks to see what it's currently working on.
Is it possible to manage environment secrets through this agent?
Yes, the server includes tools like create_repo_secret and list_repo_secrets to manage sensitive variables at the repository level, as well as global and organization-level secret tools.
How does Mastra AI connect to MCP servers?
Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
Can Mastra agents use tools from multiple servers?
Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
Does Mastra support workflow orchestration?
Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.
createMCPClient not exported
Install: npm install @mastra/mcp
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