Connect icōd to the AI ecosystem
Enable Claude, ChatGPT, and any AI agent to read your projects and take real actions in your icōd apps.
A standard port for AI
MCP is an open protocol that lets AI applications connect to external systems. Think of it as USB-C for AI applications — just as USB-C gives every device one standardized way to connect, MCP gives every AI one standardized way to reach your tools and data.
What it unlocks
Once icōd speaks MCP, every AI client you already use becomes an operator of your infrastructure.
AI-Powered Automation
Deploy, roll back and reconfigure with natural language. A single sentence triggers a real, audited server action.
Intelligent Code Generation
Claude writes code that calls icōd APIs correctly, because MCP hands it your real project structure and conventions.
Context-Aware Assistance
Agents pull deployment history, environment configs and live metrics before they answer — so suggestions match reality.
One prompt, five hops
Follow a real request end to end. Select any step to inspect the message on the wire.
What can icōd MCP do?
Three primitives cover the whole surface — read state, change state, and standardize the way you ask.
Resources
- List all apps and projects
- Get deployment history
- Read performance metrics
- Access environment configs
- View error logs
Tools
- Deploy app to production
- Create a new project
- Update configuration
- Roll back a deployment
- Manage environment variables
Prompts
- Code generation workflow
- Debugging helper
- Performance analysis
- Migration guide
A working server in 15 lines
Pick your language. Every SDK exposes the same three primitives.
from mcp.server import Server
from icod_sdk import ICodTools
server = Server("icod-server")
tools = ICodTools()
@server.tool()
async def deploy_app(project_id: str, version: str = "latest"):
"""Deploy an icōd app to production."""
return await tools.deploy(project_id, version)
@server.resource("icod://apps")
async def list_apps():
return await tools.apps()
server.run()icōd MCP API
Every capability the server exposes, with parameters and return shapes.
See it in action
Three reference implementations you can clone and run today.
Deployment Agent
Ask Claude to ship your latest changes; it uses MCP to run the deploy and report back with the live URL.
Project Creator
Generate a whole project structure — routes, tests and config — with MCP wiring the scaffold into your workspace.
Monitor & Alert
Build your own long-running agent on the icōd MCP server — polling metrics, opening issues and paging you on errors.
Building reliable MCP servers
Do this
- One responsibility per server — deploys, config and monitoring stay separate.
- Return structured errors with a code, a cause and a suggested fix.
- Validate and sanitize every input against a typed schema.
- Rate-limit resource-heavy operations and long-running tools.
- Version your capabilities so old clients keep working.
- Document each tool as if the model were a new teammate.
Not this
- Exposing credentials or tokens through resources.
- Blocking operations with no timeout or cancellation path.
- Vague error strings the model cannot recover from.
- Unsafe file operations outside an allow-listed root.
- Unvalidated outbound requests triggered by model input.
- Destructive tools that run without explicit confirmation.
Safe by default
Every MCP session is authenticated, scoped and logged. The model sees only what your access policy allows — never raw credentials.
Encrypted transport
TLS on HTTP, isolated pipes on stdio.
Scoped access control
Per-token roles, per-tool permissions.
Credentials never exposed
Secrets are redacted before responses.
Full audit trail
Every tool call recorded and exportable.
Part of something bigger
icōd is one server in a growing MCP ecosystem. Discover others, contribute, or bring your questions to the community.
Common questions.
Any client that speaks MCP — Claude, ChatGPT, editor integrations, and custom agents built on the official SDKs. The protocol is open and versioned, so new clients can connect without icōd shipping anything new on its side.
No. Every MCP session is authenticated and scoped to a token's roles and per-tool permissions. Secret values are redacted before they're ever included in a response — the model sees configuration keys, never the underlying values.
That depends on your client's settings, not icōd's server — icōd returns structured errors and typed schemas so the client can ask for confirmation before anything destructive runs. We recommend requiring explicit confirmation for deploys, rollbacks, and config changes.
Yes. Resource-heavy operations and long-running tools are rate-limited per token, and every call — successful or not — is written to an exportable audit trail.
Yes — the SDKs in Quickstart are a starting point, not the only option. Anything that implements the MCP specification and calls icōd's APIs correctly will work; see the Quickstart section for a 15-line reference server.
Ready to connect icōd to AI?
Stand up a server in minutes and let your agents deploy, debug and build alongside you.