Woodpecker CI MCP Server for LangChainGive LangChain 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

LangChain is the leading Python framework for composable LLM applications. Connect Woodpecker CI through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

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The Woodpecker CI MCP Server for LangChain 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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python

import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "woodpecker-ci": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Woodpecker CI, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(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.

LangChain's ecosystem of 500+ components combines seamlessly with Woodpecker CI through native MCP adapters. Connect 34 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain

When LangChain 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 LangChain via MCP

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

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 34 tools from Woodpecker CI via MCP

Why Use LangChain with the Woodpecker CI MCP Server

LangChain provides unique advantages when paired with Woodpecker CI through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine Woodpecker CI MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across Woodpecker CI queries for multi-turn workflows

Woodpecker CI + LangChain Use Cases

Practical scenarios where LangChain combined with the Woodpecker CI MCP Server delivers measurable value.

RAG with live data: combine Woodpecker CI tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Woodpecker CI, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Woodpecker CI tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Woodpecker CI tool call, measure latency, and optimize your agent's performance

Example Prompts for Woodpecker CI in LangChain

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

Common issues when connecting Woodpecker CI to LangChain through Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Woodpecker CI + LangChain FAQ

Common questions about integrating Woodpecker CI MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.