deploy-mcp/deploy-mcp
by Various
Universal deployment tracker for AI assistants - check deployment status without leaving your AI chat
MCP
deploy-mcp/deploy-mcp
Added 1 June 2026
Overview
deploy-mcp is a TypeScript-based Model Context Protocol server that lets AI assistants check deployment status directly within a chat interface. It provides a universal deployment tracker, enabling users to query deployment information without switching contexts.
Best for
Best for
Developers who want to check deployment status from within their AI chat interface
Use cases
- Check deployment status from within an AI chat session
- Monitor deployments without leaving the development workflow
- Integrate deployment tracking into MCP-compatible AI assistants
How to use
Install
npx deploy-mcp Tools exposed
check_deployment_statuswatch_deploymentcompare_deploymentsget_deployment_logslist_projects
Tested with
Claude Desktop, Cursor, Windsurf, Cline, Continue, VS Code
Notes
deploy-mcp is a TypeScript-based Model Context Protocol server that lets AI assistants check deployment status directly within a chat interface. It provides a universal deployment tracker, enabling users to query deployment information without switching contexts.
7 stars on GitHub. Last updated 2026-05-09. Licensed Apache-2.0.
Use cases
- Check deployment status from within an AI chat session
- Monitor deployments without leaving the development workflow
- Integrate deployment tracking into MCP-compatible AI assistants
Pros
- Simple integration with MCP-compatible AI assistants
- Lightweight TypeScript implementation
- Open source with a clear focus on deployment status
Cons
- Low star count indicates limited adoption and community
- Requires an MCP-compatible AI assistant to function
- Only provides deployment status, not full CI/CD pipeline details
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Simple integration with MCP-compatible AI assistants
- Lightweight TypeScript implementation
- Open source with a clear focus on deployment status
Cons
- Low star count indicates limited adoption and community
- Requires an MCP-compatible AI assistant to function
- Only provides deployment status, not full CI/CD pipeline details
Pairs with
Other entries in the index that connect to this one. Click through to see the chain.
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