Woodpecker CI MCP Server for LlamaIndexGive LlamaIndex 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

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Woodpecker CI as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

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

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python

import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to Woodpecker CI. "
            "You have 34 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Woodpecker CI?"
    )
    print(response)

asyncio.run(main())

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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.

LlamaIndex agents combine Woodpecker CI tool responses with indexed documents for comprehensive, grounded answers. Connect 34 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

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 LlamaIndex 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 LlamaIndex

When LlamaIndex 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 LlamaIndex via MCP

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

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 34 tools from Woodpecker CI

Why Use LlamaIndex with the Woodpecker CI MCP Server

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

Data-first architecture: LlamaIndex agents combine Woodpecker CI tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain Woodpecker CI tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query Woodpecker CI, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what Woodpecker CI tools were called, what data was returned, and how it influenced the final answer

Woodpecker CI + LlamaIndex Use Cases

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

Hybrid search: combine Woodpecker CI real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query Woodpecker CI to augment indexed data with live information before generating user-facing responses

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Woodpecker CI for fresh data

Analytical workflows: chain Woodpecker CI queries with LlamaIndex's data connectors to build multi-source analytical reports

Example Prompts for Woodpecker CI in LlamaIndex

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

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

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Woodpecker CI + LlamaIndex FAQ

Common questions about integrating Woodpecker CI MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Woodpecker CI tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.