How to Use the Woodpecker CI MCP in Mastra AI

Q: Can Mastra AI list all repositories using Woodpecker CI?

Yes. You can use the listrepos tool to get a full directory of every repository on your server, giving you a clear overview before any deployment starts.

Q: What if I need to update an agent with Mastra AI and Woodpecker CI?

You use the updateagent tool. Your Mastra workflow calls this function, ensuring that your specialized agents always run the latest version of their code.

Build complex, resilient workflows with Mastra AI and Woodpecker CI.

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Connect Woodpecker CI MCP to Mastra AI

Create your Vinkius account to connect Woodpecker CI to Mastra AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Woodpecker CI with Mastra AI

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Perplexity

Orchestrate multi-step deployments via MCP Server.

Mastra AI's workflow engine lets you run complex sequences. You can initiate a build by using `trigger_pipeline`, and then check the status of that job with `get_pipeline`. If the first step fails, your Mastra agent can automatically retry or branch to an alternate process. This makes building failure tolerance into your whole deployment flow.

Monitor agents and repositories using MCP Server.

You need visibility across all systems. Use `list_agents` to see every active agent, or check the details of a specific one with `get_agent`. You can also get project status by listing repos via `list_repos`. This level of monitoring means your workflow doesn't stall waiting for manual checks.

Manage credentials and organizational scope.

Credentials need to be tightly controlled. Your agent can list organization-level secrets using `list_org_secrets`, or even set up new ones with a tool like `create_repo_secret`. Furthermore, you get permission checks by calling `get_org_permissions`. This keeps your overall system secure and compliant across multiple teams.

Setup guide

Set up Woodpecker CI MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Woodpecker CI tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "woodpecker-ci-mcp-client",
  servers: {
    "woodpecker-ci-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Woodpecker CI Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Woodpecker CI tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Woodpecker CI transactions"
);
console.log(result.text);

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Common questions about Woodpecker CI MCP in Mastra AI

Mastra handles the multi-step logic, telling the MCP Server exactly when to run tools like `trigger_pipeline` or `restart_pipeline`. It’s designed for workflows that must handle failure gracefully.

Yes. You can use the `list_repos` tool to get a full directory of every repository on your server, giving you a clear overview before any deployment starts.

You use the `update_agent` tool. Your Mastra workflow calls this function, ensuring that your specialized agents always run the latest version of their code.

It does. You can manage secrets at the global or organization level using tools like `create_global_secret` and `list_org_secrets`, making credential handling robust.

This server touches user permissions, specifically through the ability to check organization roles using `get_org_permissions`. This is key for maintaining compliance in complex multi-tenant setups.

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