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Dagger (Programmable CI) MCP Server

Bring Ci Cd
to Windsurf

Learn how to connect Dagger (Programmable CI) to Windsurf and start using 10 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

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Execute Graphql QueryQuery Cache VolumeQuery ContainerQuery Current ModuleQuery DirectoryQuery GitQuery HostQuery HttpQuery SecretQuery Version

Compatible with every major AI agent and IDE

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ChatGPTChatGPT
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WindsurfWindsurf
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JetBrainsJetBrains
VercelVercel
+ other MCP clients
Dagger (Programmable CI)

What is the Dagger (Programmable CI) MCP Server?

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.

Built-in capabilities (10)

execute_graphql_query

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

Constructs a cache volume

query_container

Creates a scratch container and returns its ID

query_current_module

Queries the current module

query_directory

Creates an empty directory and returns its ID

query_git

Queries a Git repository

query_host

Queries the host environment

query_http

Returns a file from a URL

query_secret

g., env://VAR_NAME, file://PATH, cmd://COMMAND). Creates a new secret

query_version

Get the Dagger Engine version

Why Windsurf?

Windsurf's Cascade agent chains multiple Dagger (Programmable CI) tool calls autonomously. query data, analyze results, and generate code in a single agentic session. Paste Vinkius Edge URL, reload, and all 10 tools are immediately available. Real-time tool feedback appears inline, so you see API responses directly in your editor.

  • Windsurf's Cascade agent autonomously chains multiple tool calls in sequence, solving complex multi-step tasks without manual intervention

  • Purpose-built for agentic workflows. Cascade understands context across your entire codebase and integrates MCP tools natively

  • JSON-based configuration means zero code changes: paste a URL, reload, and all 10 tools are immediately available

  • Real-time tool feedback is displayed inline, so you see API responses directly in your editor without switching contexts

See it in action

Dagger (Programmable CI) in Windsurf

AI AgentVinkius
High Security·Kill Switch·Plug and Play
Why Vinkius

Dagger (Programmable CI) and 4,000+ other MCP servers. One platform. One governance layer.

Teams that connect Dagger (Programmable CI) to Windsurf 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 catalogFind and host yourself4,000+ managed
InfrastructureSelf-hostedSandboxed V8 isolates
Credential handlingPlaintext in configVault + runtime injection
Data loss preventionNoneConfigurable DLP policies
Kill switchNoneGlobal instant shutdown
Financial circuit breakersNonePer-server limits + alerts
Audit trailNoneEd25519 signed logs
SIEM log streamingNoneSplunk, Datadog, Webhook
HoneytokensNoneCanary alerts on leak
Custom domainsNot applicableDNS challenge verified
GDPR complianceManual effortAutomated purge + export
Enterprise Security

Why teams choose Vinkius for Dagger (Programmable CI) in Windsurf

The Dagger (Programmable 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 10 tools execute in hardened sandboxes optimized for native MCP execution.

Your AI agents in Windsurf 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.

Dagger (Programmable CI)
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 Dagger (Programmable CI) for Windsurf

Every tool call from Windsurf to the Dagger (Programmable 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

01

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.

02

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.

03

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.

04

How does Windsurf discover MCP tools?

Windsurf reads the mcp_config.json file on startup and connects to each configured server via Streamable HTTP. Tools are listed in the MCP panel and available to Cascade automatically.

05

Can Cascade chain multiple MCP tool calls?

Yes. Cascade is an agentic system. it can plan and execute multi-step workflows, calling several tools in sequence to accomplish complex tasks without manual prompting between steps.

06

Does Windsurf support multiple MCP servers?

Yes. Add as many servers as needed in mcp_config.json. Each server's tools appear in the MCP panel and Cascade can use tools from different servers in a single flow.

07

Server not connecting

Check Settings → MCP for the server status. Try toggling it off and on.

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