Pydantic AISDK

Drone CI MCP Server

Bring Ci Cd
to Pydantic AI

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

Learn how to connect Drone CI to Pydantic AI and start using 39 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

GDPR Free for Subscribers

Approve BuildChown RepoCreate BuildCreate Cron JobCreate SecretCreate TemplateCreate UserDecline BuildDelete Cron JobDelete SecretDelete TemplateDelete UserDisable RepoEnable RepoGet BuildGet Build LogsGet Cron JobGet Current UserGet Current User ReposGet RepoGet SecretGet TemplateGet UserList BuildsList Cron JobsList SecretsList TemplatesList UsersPromote BuildRepair RepoRestart BuildStop BuildSync User ReposTrigger Cron JobUpdate Cron JobUpdate RepoUpdate SecretUpdate TemplateUpdate User

Unlock for AI Agents

Ask AI about this MCP Server ChatGPT Claude Perplexity

Compatible with every major AI agent and IDE

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

+ other MCP clients

What is the Drone CI MCP Server?

Connect your Drone CI server to any AI agent to streamline your DevOps lifecycle through natural language.

What you can do

Build Management — List, get details, restart, or stop builds across your repositories using list_builds, get_build, and restart_build.
Repository Control — Enable, update, or repair repository settings and sync them with your source control provider via enable_repo and sync_user_repos.
Secret & Config Management — Manage environment secrets, cron jobs, and templates without leaving your chat interface using list_secrets and create_cron_job.
User Administration — (Admin only) Create, update, or delete users and manage organizational access with list_users and create_user.
Log Inspection — Fetch build logs to debug pipeline failures instantly using get_build_logs.

How it works

Subscribe to this server
Provide your Drone Server URL and Personal Access Token
Start orchestrating your pipelines from Claude, Cursor, or any MCP client

Who is this for?

DevOps Engineers — Monitor pipeline health and trigger builds via voice or text.
Software Developers — Check build logs and status directly from the IDE.
SREs — Manage secrets and cron jobs across multiple projects efficiently.

Built-in capabilities (39)

approve_build

Approve a blocked build

chown_repo

Change repository ownership to current user

create_build

Create a custom build for a branch

create_cron_job

Create a new cron job

create_secret

Create a new repository secret

create_template

Create a new template

create_user

Create a new user account (Admin)

decline_build

Decline a blocked build

delete_cron_job

Delete a cron job

delete_secret

Delete a repository secret

delete_template

Delete a template

delete_user

Delete a user account (Admin)

disable_repo

Disable or delete a repository

enable_repo

Enable/register a repository in Drone

get_build

Get specific build info including stages and steps

get_build_logs

Get logs for a specific step in a build stage

get_cron_job

Get cron job details

get_current_user

Get current authenticated user info

get_current_user_repos

Get current user repositories

get_repo

Get repository info

get_secret

Get repository secret details

get_template

Get template details

get_user

Get user info by login (Admin)

list_builds

List recent builds for a repository

list_cron_jobs

List cron jobs for a repository

list_secrets

List repository secrets

list_templates

List organization templates

list_users

Requires administrative privileges. List all registered users (Admin)

promote_build

Promote a build to a target environment

repair_repo

Repair repository webhooks

restart_build

Restart a specific build

stop_build

Stop a running build (Admin)

sync_user_repos

Synchronize user repositories

trigger_cron_job

Manually trigger an existing cron task

update_cron_job

Update a cron job

update_repo

Update repository configuration

update_secret

Update a repository secret

update_template

Update a template

update_user

Update a user account (Admin)

Why Pydantic AI?

Pydantic AI validates every Drone CI tool response against typed schemas, catching data inconsistencies at build time. Connect 39 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

—
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
—
Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Drone CI integration code
—
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
—
Dependency injection system cleanly separates your Drone CI connection logic from agent behavior for testable, maintainable code

See it in action

Drone CI in Pydantic AI

AI Agent→Vinkius

High Security·Kill Switch·Plug and Play

Why Vinkius

Drone CI and 4,000+ other MCP servers. One platform. One governance layer.

Teams that connect Drone CI to Pydantic 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.

4,000+MCP Servers ready

<40msCold start

60%Token savings

	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

Unlock for AI Agents View step-by-step setup guide for Pydantic AI →

Enterprise Security

Why teams choose Vinkius for Drone CI in Pydantic AI

The Drone 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 39 tools execute in hardened sandboxes optimized for native MCP execution.

Your AI agents in Pydantic 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.

Unlock for AI Agents View full Drone CI details →

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

The Vinkius Advantage

How Vinkius secures
Drone CI for Pydantic AI

Every tool call from Pydantic AI to the Drone CI MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start

Ed25519Signed audit chain

60%Token savings

FAQ

Frequently asked questions

Can I view the logs of a specific build to debug an error?

Yes, use the get_build_logs tool by providing the owner, repo name, and build number. Your agent will retrieve the full output from the pipeline steps.

How do I trigger a new build for a repository?

You can use the create_build tool to trigger a new build or restart_build to re-run an existing build number for a specific repository.

Is it possible to manage environment secrets through this agent?

Absolutely. You can use list_secrets, create_secret, and update_secret to manage your repository's sensitive data securely from the conversation.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Drone CI MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

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