Dagger (Programmable CI) MCP Server with 10 Tools for Claude, Cursor, and AI Agents
GDPR Free for SubscribersBuild, test, and deploy using Dagger's programmable CI engine. Execute GraphQL queries, manage containers, and orchestrate pipelines directly from your AI agent. Vinkius routes your AI agents directly to Dagger (Programmable CI) through a governed connection. 10 tools ready to use with Claude, ChatGPT, Cursor, or any AI agent — no hosting, no setup, connect in 30 seconds.
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Compatible with every major AI agent and IDE
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What is the Dagger MCP Server?
The Dagger MCP Server routes AI agents like Claude, ChatGPT, and Cursor directly to Dagger via 10 tools. Build, test, and deploy using Dagger's programmable CI engine. Execute GraphQL queries, manage containers, and orchestrate pipelines directly from your AI agent. Powered by Vinkius — your credentials stay on your side of the connection, every request is auditable. Connect in under 2 minutes.
Built-in capabilities (10)
Tools for your AI Agents to operate Dagger
Ask your AI agent "Check the current version of the Dagger engine." and get the answer without opening a single dashboard. With 10 tools connected to real Dagger data, your agents reason over live information, cross-reference it with other MCP servers, and deliver insights you would spend hours assembling manually.
Works with Claude, ChatGPT, Cursor, and any MCP-compatible client. Powered by Vinkius — your credentials never touch the AI model, every request is auditable. Connect in under two minutes.
Why teams choose Vinkius
One subscription gives you the infrastructure to connect your AI agents to thousands of MCP servers — and deploy your own to the Vinkius Edge. Your credentials stay yours. Your data flows directly between your agent and the API. DLP blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade routing and governance, zero maintenance.
Build your own MCP Server with our secure development framework →The Dagger (Programmable CI) App Connector works with every AI agent you already use
…and any MCP-compatible client
Use all 10 Dagger (Programmable CI) tools with your AI agents right now
Vinkius routes your AI agents to Dagger (Programmable CI) through a governed proxy. Beyond a simple connection, you get full visibility into every action your agents perform, with enterprise-grade security and up to 60% savings on AI costs.
Execute graphql query on Dagger (Programmable CI)
You can chain fields to create a Directed Acyclic Graph (DAG) of operations. Execute a raw GraphQL query against the Dagger engine
Query cache volume on Dagger (Programmable CI)
Constructs a cache volume
Query container on Dagger (Programmable CI)
Creates a scratch container and returns its ID
Query current module on Dagger (Programmable CI)
Queries the current module
Query directory on Dagger (Programmable CI)
Creates an empty directory and returns its ID
Query git on Dagger (Programmable CI)
Queries a Git repository
Query host on Dagger (Programmable CI)
Queries the host environment
Query http on Dagger (Programmable CI)
Returns a file from a URL
Query secret on Dagger (Programmable CI)
g., env://VAR_NAME, file://PATH, cmd://COMMAND). Creates a new secret
Query version on Dagger (Programmable CI)
Get the Dagger Engine version
What the Dagger (Programmable CI) MCP Server unlocks
Connect to the Dagger Engine to orchestrate your delivery pipelines using a powerful, programmable GraphQL API. This server allows your AI agent to interact directly with Dagger's Directed Acyclic Graph (DAG) of operations.
What you can do
- Container Orchestration — Initialize scratch containers, pull images, and manage OCI-compatible states.
- GraphQL Workflows — Execute raw GraphQL queries to compose complex build and test logic dynamically.
- Source Control — Query Git repositories and host environments to pull source code into your pipelines.
- Resource Management — Handle secrets securely, manage persistent cache volumes, and fetch remote files via HTTP.
- Module Inspection — Query the current module state and engine version to ensure environment consistency.
How it works
1. Ensure a Dagger Engine is running in your environment.
2. Provide the session port and token generated by the Dagger CLI.
3. Start building and deploying through natural language commands.
Who is this for?
- DevOps Engineers — Automate pipeline debugging and execution without leaving the chat interface.
- Software Developers — Run builds, tests, and container operations directly from the code editor.
- SREs — Inspect engine states and orchestrate infrastructure tasks using programmable CI logic.
Frequently asked questions about the Dagger (Programmable CI) MCP Server
How do I run a specific build command using Dagger?
You can use the execute_graphql_query tool to send a raw GraphQL query to the Dagger engine, allowing you to chain container operations like from, withExec, and stdout.
Can I access files from my local machine in the pipeline?
Yes, the query_host tool allows you to retrieve the state ID for your host environment, which can then be used to mount local directories into your Dagger containers.
How are secrets handled in this integration?
Use the query_secret tool to load secrets from URIs (like env:// or file://). This returns a secret ID that can be safely passed to other Dagger operations without exposing the plaintext value.
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We built the connector to Dagger (Programmable CI). Now put your agents to work. Fully governed.
Vinkius is the AI Gateway with managed hosting. Stop building connectors. Every connection runs inside eight layers of security.
Hosted, sandboxed, and live on AWS. You don't provision anything. You don't maintain anything. You connect.
Every tool call, every token, every response. Logged and auditable. Data flows direct from Dagger (Programmable CI) to your agent. Nothing is stored on our side. Ever.
Eight governance layers on every request. Sensitive data redacted before it reaches the model. Kill switch if anything goes sideways. Always on.