This MCP server acts as a proxy that forwards requests from MCP clients to a hosted AI software engineer backend, enabling automated coding tasks such as writing code, reviewing pull requests, and running security scans.
From the registry: AI software engineer — writes code, opens PRs, reviews code, generates tests, and more.
Please install the `cloud-agent` MCP server into my current AI client (that's you).
Required prerequisites (do these first if not already done):
- **Cloud Agent API key** — Sign in at agent.leddconsulting.com and generate a ca_* API key (https://agent.leddconsulting.com)
Canonical MCP server config (stdio transport):
- command: `npx`
- args: ["-y","mcp-server-cloud-agent"]
- required environment variables:
- `CLOUD_AGENT_API_KEY`: Cloud Agent API key (ca_* prefix) (example: `<your-cloud-agent-api-key>`)
- optional environment variables:
- `CLOUD_AGENT_URL`: Backend URL override (example: `https://agent.leddconsulting.com`)
Note: Stdio MCP proxy that forwards to the hosted Cloud Agent backend. 9 tools for running tasks, reviewing PRs, asking about codebases, generating tests, security scans.
Add this MCP server to my current client's config in the correct format for you. If you need secrets or credentials I haven't provided, ASK me — do not invent values or leave raw placeholders. After adding it, tell me how to verify the server is connected.CLOUD_AGENT_API_KEYrequiredAPI key (`ca_*` prefix) from your Cloud Agent workspaceReal-time infrastructure monitoring with metrics, logs, alerts, and ML-based anomaly detection.
Persistent codebase knowledge graph. Survives session restarts and context compaction.
Validate oh-my-posh configurations and segment snippets against the official schema.