
Cloud Agent
- Updated March 21, 2026
- joepangallo/mcp-server-cloud-agent
Cloud Agent is a MCP server that lets your local agent invoke a hosted AI software engineer to write code, open PRs, review changes, and generate tests.
About
Cloud Agent MCP turns your local coding agent into an orchestrator for a hosted AI software engineer that can implement features, open pull requests, review diffs, and generate tests on your behalf. developers use it when they want leverage beyond single-file edits—especially when product scope in Validate has become a real codebase in Build. Register the npm package mcp-server-cloud-agent over stdio, authenticate with CLOUD_AGENT_API_KEY from the Cloud Agent web workspace, and optionally point CLOUD_AGENT_URL at a custom backend if you self-host or use a private deployment. The server does not replace your judgment on architecture or security; it extends execution capacity so you can parallelize PR-sized work while you handle integrations, docs, and ship gates locally. Think of it as agent-tooling that outsources implementation bursts, not as infrastructure monitoring or growth analytics. Pair it with your normal git workflow and review habits so merged code still matches your standards.
- Remote AI software engineer: writes code, opens PRs, reviews code, and generates tests from agent-driven prompts
- npm mcp-server-cloud-agent (v1.1.1) over stdio for Claude Code, Cursor, and similar clients
- Authenticated with CLOUD_AGENT_API_KEY (ca_ prefix) from the Cloud Agent web workspace
- Optional CLOUD_AGENT_URL override (default hosted backend: agent.leddconsulting.com)
- Offloads heavy implementation loops while you stay in local orchestration and product decisions
Cloud Agent by the numbers
- Data as of Jul 7, 2026 (Skillselion catalog sync)
claude mcp add --env CLOUD_AGENT_API_KEY=YOUR_CLOUD_AGENT_API_KEY --env CLOUD_AGENT_URL=YOUR_CLOUD_AGENT_URL mcp-server-cloud-agent -- npx -y mcp-server-cloud-agentAdd your badge
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| Package | mcp-server-cloud-agent |
|---|---|
| Transport | STDIO |
| Auth | Required |
| Last updated | March 21, 2026 |
| Repository | joepangallo/mcp-server-cloud-agent ↗ |
What it does
Delegate implementation work to a remote AI software engineer from your IDE agent—code changes, pull requests, reviews, and test generation via Cloud Agent MCP.
Who is it for?
Best when you already use Cloud Agent workspaces and want PR-level coding help exposed as MCP tools in Claude Code or Cursor.
Skip if: Skip if you only want lightweight inline completions with no external service, API key, or PR-based workflow.
What you get
Your IDE agent can trigger Cloud Agent workflows so implementation, PRs, reviews, and tests progress on a remote engineer while you direct priorities from MCP.
- Agent-triggered code changes and pull requests via Cloud Agent
- Review feedback and test generation routed through MCP tool calls
- Configurable backend URL for default or custom Cloud Agent deployment
By the numbers
- Registry version 1.1.1
- npm package mcp-server-cloud-agent with stdio transport
- Default backend URL documented as https://agent.leddconsulting.com
README.md
mcp-server-cloud-agent
MCP server for Cloud Agent — a hosted AI software engineer that writes code, opens PRs, reviews code, generates tests, runs security scans, and answers codebase questions.
Connect from any MCP client (Claude Code, Cursor, Windsurf, or your own agents) and delegate engineering tasks.
How it works
This package is a local stdio MCP proxy that forwards requests to the Cloud Agent hosted backend at agent.leddconsulting.com. Your MCP client communicates with this server over stdio; the server makes authenticated HTTPS calls to the backend on your behalf.
Legacy cloudagent.metaltorque.dev URLs still redirect, but new configs should use agent.leddconsulting.com.
Data flow: MCP client → (stdio) → this server → (HTTPS) → Cloud Agent backend → GitHub
What data leaves your machine:
- Task descriptions, repo names, file paths, and PR URLs you provide
- Your API key (sent over HTTPS only, never over HTTP)
What the backend does with your data:
- Clones repos from GitHub using its own GitHub App credentials
- Executes tasks in isolated sandboxes
- Opens PRs and posts reviews to GitHub on your behalf
Tools (9)
| Tool | Description | Side effects |
|---|---|---|
run_task |
Write code, fix bugs, add features — returns result + PR URL | Creates branches and PRs |
review_pr |
Review a GitHub PR with structured feedback | Optionally posts comments to GitHub |
ask_codebase |
Ask questions about any GitHub repo (auto-indexes on first use) | Read-only |
generate_tests |
Generate tests for a file, opens a PR | Creates branches and PRs |
security_scan |
Security + dependency scan across one or more repos | Read-only |
list_sessions |
List recent sessions with status, cost, duration, PR URLs | Read-only |
list_playbooks |
List available workflow templates | Read-only |
run_playbook |
Run a playbook against a repo | Creates branches and PRs |
get_usage |
Usage stats — sessions, cost, time saved, breakdowns | Read-only |
Setup
1. Get an API key
Sign in to your Cloud Agent workspace at agent.leddconsulting.com and generate an API key at /auth/api-key. Keys use the ca_* prefix.
2. Configure your MCP client
Claude Code (~/.claude.json):
{
"mcpServers": {
"cloud-agent": {
"command": "npx",
"args": ["-y", "mcp-server-cloud-agent"],
"env": {
"CLOUD_AGENT_API_KEY": "ca_your_key_here"
}
}
}
}
Cursor / Windsurf (MCP settings):
{
"mcpServers": {
"cloud-agent": {
"command": "npx",
"args": ["-y", "mcp-server-cloud-agent"],
"env": {
"CLOUD_AGENT_API_KEY": "ca_your_key_here"
}
}
}
}
Environment Variables
| Variable | Required | Description |
|---|---|---|
CLOUD_AGENT_API_KEY |
Yes | API key (ca_* prefix) from your Cloud Agent workspace |
CLOUD_AGENT_URL |
No | Backend URL (defaults to https://agent.leddconsulting.com) |
Usage Examples
Once configured, your MCP client can call these tools directly:
Fix a bug:
"Use cloud-agent run_task on myorg/myapp to fix the broken login flow"
Review a PR:
"Use cloud-agent review_pr on https://github.com/myorg/myapp/pull/42"
Ask about code:
"Use cloud-agent ask_codebase on myorg/myapp: how does authentication work?"
Generate tests:
"Use cloud-agent generate_tests on myorg/myapp for src/auth.ts"
Security scan:
"Use cloud-agent security_scan on myorg/myapp and myorg/api"
Sample Output
run_task response:
{
"response": "Fixed the login redirect bug. Changed src/auth.ts to properly handle OAuth callback URLs.",
"cost_usd": 0.42,
"duration_ms": 45000,
"pr_url": "https://github.com/myorg/myapp/pull/87"
}
security_scan response:
{
"repos_scanned": 1,
"vulnerabilities": 3,
"secrets_found": 0,
"findings": [...]
}
Troubleshooting
| Problem | Solution |
|---|---|
| "CLOUD_AGENT_API_KEY is required" | Set the env var in your MCP client config |
| "Refusing to send API key over insecure HTTP" | Use HTTPS (the default). Don't set CLOUD_AGENT_URL to an HTTP URL |
| "Request timed out" | Tasks can take up to 10 minutes. Check list_sessions for status |
| "HTTP 401" | Your API key is invalid or expired. Generate a new one |
| "HTTP 429" | Rate limited. Wait and retry |
License
MIT
Recommended MCP Servers
How it compares
Hosted AI engineer MCP bridge—not a local-only edit skill or a generic git CLI wrapper.
FAQ
Who is Cloud Agent for?
It is for developers and small teams who use Cloud Agent’s web workspace and want their MCP client to delegate coding, PRs, reviews, and tests to that service.
When should I use Cloud Agent?
Use it during Build when you are actively implementing features and need an external AI engineer to produce PRs and tests while you orchestrate from your agent.
How do I add Cloud Agent to my agent?
Install mcp-server-cloud-agent, set CLOUD_AGENT_API_KEY (ca_*) from your workspace, optionally set CLOUD_AGENT_URL, register stdio in your MCP config, and restart your client.