Bring Remote Development
to CrewAI
Learn how to connect Coder (Remote Dev) to CrewAI and start using 84 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the Coder (Remote Dev) MCP Server?
Connect your Coder deployment to any AI agent to orchestrate remote development infrastructure and monitor workspace health through natural language.
What you can do
- Deployment Monitoring — Retrieve build info, deployment statistics, and check for available updates to keep your infrastructure current.
- AI Bridge Management — List connected AI clients, available models, and active sessions to understand how AI is being utilized in your workspaces.
- Agent Operations — Stream logs from specific workspace agents and manage application statuses to troubleshoot remote environments instantly.
- Infrastructure Config — Access SSH configurations and deployment settings to ensure seamless connectivity for your engineering team.
- Session Insights — Fetch threads and interceptions from AI sessions to audit and optimize AI-assisted development workflows.
How it works
- Subscribe to this server
- Enter your Coder URL and Session Token
- Start managing your remote dev clusters from Claude, Cursor, or any MCP-compatible client
Who is this for?
- DevOps Engineers — monitor deployment health and configuration without leaving the terminal or chat interface.
- Platform Teams — manage AI Bridge sessions and model availability across the organization's remote workspaces.
- Software Developers — quickly retrieve SSH configs and agent logs to debug environment issues without context switching.
Built-in capabilities (84)
Add an enterprise license
Authenticate agent using cloud provider identity
Cancel a pending or running build
Check if user has permission to perform actions
Start a new AI chat session
Send a message to a chat session
Create a group in an organization
Create an organization
Create a user
Create a user secret
Create a long-running AI task for a user
Create a user token
Create a workspace
Create a port share for a workspace
Delete an enterprise license
Delete a user
Download a file by ID
Get DERP and connection details for an agent
List running containers and devcontainers
Get the last 10MiB of agent logs (local agent API)
Get Tailscale magicsock debug info (local agent API)
Get the startup manifest from the server (local agent API)
Get external authentication tokens for the agent
Stream logs from a specific agent
Get threads for an AI session
Get basic API information
Redirect to a URI with an encrypted API key
Get the base host for applications
Get dashboard branding and banners
Get a paginated list of audit logs
Get Coder build info
Get messages for a chat session
Get deployment configuration
Get deployment statistics
Initiate device-based OAuth
Get Daily Active User stats
Get usage data for templates
Get activity duration per user
List user notifications
Get global notification settings
List available notification templates
Get prebuild settings
Get SSH configuration
Check for Coder updates
Get user profile
Get workspace metadata
Get workspace ACLs
Get details of a specific build
Get logs for a specific build
List parameters used for the build
List connected AI Bridge clients
List AI interceptions
List available AI models
List active AI Bridge sessions
List user chat sessions
List linked external accounts (e.g., GitHub)
List groups
List enterprise licenses
List members of an organization
List active provisioner daemons
List jobs for the organization provisioners
List assignable roles in an organization
List organizations
Manage long-running AI tasks
List starter template examples
List versions for a template
List all templates
List user secrets
List user tokens
List users
List port shares for a workspace
g., owner:me). List workspaces
Authenticate a user with email and password
Register a new log source
Send logs to the server
Update status of an application running on the agent
Update dashboard branding and banners
Update an organization
Update prebuild settings
Update user profile
Update workspace ACLs
Update workspace autostart schedule
Update workspace autoupdates schedule
Upload a file (tar or zip)
Why CrewAI?
When paired with CrewAI, Coder (Remote Dev) becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Coder (Remote Dev) 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
Coder (Remote Dev) in CrewAI
Coder (Remote Dev) and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Coder (Remote Dev) 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 Coder (Remote Dev) in CrewAI
The Coder (Remote Dev) 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 84 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
Coder (Remote Dev) for CrewAI
Every tool call from CrewAI to the Coder (Remote Dev) MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I check the health and usage of my Coder deployment?
Yes. Use the get_deployment_stats tool to retrieve workspace and session statistics, providing a clear overview of your infrastructure's current state.
How do I see which AI models are available in my Coder instance?
Simply run the list_ai_models tool. It will return a list of all AI models currently configured and available through the Coder AI Bridge.
Can I view logs for a specific workspace agent to debug issues?
Yes! Use the get_agent_logs tool with the target agent_id. This allows you to stream and inspect logs directly from the remote environment.
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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