Woodpecker CI MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 34 tools to Activate Repo, Cancel Pipeline, Chown Repo, and more

Name: Woodpecker CI
Price: 29 USD
Availability: InStock
Rating: 4.9 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Woodpecker CI through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

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The Woodpecker CI MCP Server for Vercel AI SDK is a standout in the Ship It category — giving your AI agent 34 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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typescript

import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

async function main() {
  const mcpClient = await createMCPClient({
    transport: {
      type: "http",
      // Your Vinkius token. get it at cloud.vinkius.com
      url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    },
  });

  try {
    const tools = await mcpClient.tools();
    const { text } = await generateText({
      model: openai("gpt-4o"),
      tools,
      prompt: "Using Woodpecker CI, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Woodpecker CI MCP Server

Connect your Woodpecker CI server to any AI agent to automate your continuous integration and deployment workflows through natural language.

The Vercel AI SDK gives every Woodpecker CI tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 34 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.

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.

The Woodpecker CI MCP Server exposes 34 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 34 Woodpecker CI tools available for Vercel AI SDK

When Vercel AI SDK connects to Woodpecker CI through Vinkius, your AI agent gets direct access to every tool listed below — spanning ci-cd, pipelines, automation, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

activate

Activate repo on Woodpecker CI

Activate a repository

cancel

Cancel pipeline on Woodpecker CI

Cancel a running pipeline

chown

Chown repo on Woodpecker CI

Change repository owner to the current user

create

Create agent on Woodpecker CI

Create a new Woodpecker agent

create

Create global secret on Woodpecker CI

Create a global secret

create

Create repo secret on Woodpecker CI

Create a repository secret

delete

Delete agent on Woodpecker CI

Delete an agent

delete

Delete pipeline on Woodpecker CI

Delete a pipeline

delete

Delete repo on Woodpecker CI

Deactivate/delete a repository

get

Get agent on Woodpecker CI

Get details of a specific agent

get

Get healthz on Woodpecker CI

Server health check

get

Get metrics on Woodpecker CI

Prometheus metrics (requires WOODPECKER_PROMETHEUS_AUTH_TOKEN if configured)

get

Get org permissions on Woodpecker CI

Get user permissions for an organization

get

Get pipeline on Woodpecker CI

Get details of a specific pipeline

get

Get pipeline config on Woodpecker CI

Get the configuration files used for a pipeline

get

Get repo on Woodpecker CI

Get repository details

get

Get user on Woodpecker CI

Get the currently authenticated user

get

Get version on Woodpecker CI

Get server version information

list

List agent tasks on Woodpecker CI

List tasks currently assigned to an agent

list

List agents on Woodpecker CI

List all Woodpecker agents

list

List global secrets on Woodpecker CI

List global secrets (Admin only)

list

List org agents on Woodpecker CI

List agents scoped to an organization

list

List org secrets on Woodpecker CI

List organization-level secrets

list

List orgs on Woodpecker CI

List all organizations

list

List pipelines on Woodpecker CI

List pipelines for a repository

list

List repo secrets on Woodpecker CI

List repository-level secrets

list

List repos on Woodpecker CI

List all repositories on the server

list

List users on Woodpecker CI

List all users (Admin only)

lookup

Lookup repo on Woodpecker CI

Lookup a repository by its full name (slug)

repair

Repair repo on Woodpecker CI

Repair repository webhooks

restart

Restart pipeline on Woodpecker CI

Restart a pipeline

trigger

Trigger pipeline on Woodpecker CI

Trigger a manual pipeline

update

Update agent on Woodpecker CI

Update an existing agent

update

Update repo on Woodpecker CI

Update repository settings

Connect Woodpecker CI to Vercel AI SDK via MCP

Follow these steps to wire Woodpecker CI into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the script

Save to agent.ts and run with npx tsx agent.ts

Explore tools

The SDK discovers 34 tools from Woodpecker CI and passes them to the LLM

Why Use Vercel AI SDK with the Woodpecker CI MCP Server

Vercel AI SDK provides unique advantages when paired with Woodpecker CI through the Model Context Protocol.

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Woodpecker CI integration everywhere

Built-in streaming UI primitives let you display Woodpecker CI tool results progressively in React, Svelte, or Vue components

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

Woodpecker CI + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the Woodpecker CI MCP Server delivers measurable value.

AI-powered web apps: build dashboards that query Woodpecker CI in real-time and stream results to the UI with zero loading states

API backends: create serverless endpoints that orchestrate Woodpecker CI tools and return structured JSON responses to any frontend

Chatbots with tool use: embed Woodpecker CI capabilities into conversational interfaces with streaming responses and tool call visibility

Internal tools: build admin panels where team members interact with Woodpecker CI through natural language queries

Example Prompts for Woodpecker CI in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Woodpecker CI immediately.

"List all Woodpecker agents and show their current status."

"Find the repository 'vinkius/mcp-server' and trigger a new pipeline."

"Show me the last 5 pipelines for repository ID 42."

Troubleshooting Woodpecker CI MCP Server with Vercel AI SDK

Common issues when connecting Woodpecker CI to Vercel AI SDK through Vinkius, and how to resolve them.

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Woodpecker CI + Vercel AI SDK FAQ

Common questions about integrating Woodpecker CI MCP Server with Vercel AI SDK.

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.

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