Compatible with every major AI agent and IDE
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, andrestart_build. - Repository Control — Enable, update, or repair repository settings and sync them with your source control provider via
enable_repoandsync_user_repos. - Secret & Config Management — Manage environment secrets, cron jobs, and templates without leaving your chat interface using
list_secretsandcreate_cron_job. - User Administration — (Admin only) Create, update, or delete users and manage organizational access with
list_usersandcreate_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 a blocked build
Change repository ownership to current user
Create a custom build for a branch
Create a new cron job
Create a new repository secret
Create a new template
Create a new user account (Admin)
Decline a blocked build
Delete a cron job
Delete a repository secret
Delete a template
Delete a user account (Admin)
Disable or delete a repository
Enable/register a repository in Drone
Get specific build info including stages and steps
Get logs for a specific step in a build stage
Get cron job details
Get current authenticated user info
Get current user repositories
Get repository info
Get repository secret details
Get template details
Get user info by login (Admin)
List recent builds for a repository
List cron jobs for a repository
List repository secrets
List organization templates
Requires administrative privileges. List all registered users (Admin)
Promote a build to a target environment
Repair repository webhooks
Restart a specific build
Stop a running build (Admin)
Synchronize user repositories
Manually trigger an existing cron task
Update a cron job
Update repository configuration
Update a repository secret
Update a template
Update a user account (Admin)
Why CrewAI?
When paired with CrewAI, Drone CI becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Drone CI tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.
- —
Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools
- —
CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the
mcpsparameter and agents auto-discover every available tool at runtime - —
Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls
- —
Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports
Drone CI in CrewAI
Drone CI and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Drone CI to CrewAI 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.
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 |
Why teams choose Vinkius for Drone CI in CrewAI
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 CrewAI 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.

* 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
How Vinkius secures
Drone CI for CrewAI
Every tool call from CrewAI to the Drone CI MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
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 CrewAI discover and connect to MCP tools?
CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.
Can different agents in the same crew use different MCP servers?
Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.
What happens when an MCP tool call fails during a crew run?
CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.
Can CrewAI agents call multiple MCP tools in parallel?
CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.
Can I run CrewAI crews on a schedule (cron)?
Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.
MCP tools not discovered
Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.
Agent not using tools
Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".
Timeout errors
CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.
Rate limiting or 429 errors
Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.
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