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Expose local files, shell, network, and databases to MCP-compatible AI clients.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "local-env-mcp" yet — see the docs or source repo.
After connecting to local-env-mcp, read the src folder in my current project, find the TypeScript type errors causing the build to fail, and generate a patch with fixes.
The AI reads the local codebase, identifies the errors, and returns actionable fixes or a patch.
Using local-env-mcp, access my local shell and system info, investigate why a Docker container exits immediately after starting, collect logs, and provide a diagnosis.
The AI uses local commands and logs to produce the root cause, supporting evidence, and recommended fixes.
After connecting to local-env-mcp, access my local PostgreSQL database, analyze the last 30 days of order data, summarize revenue by region, and flag unusual fluctuations.
The AI connects to the local database, runs queries, and returns summaries, anomalies, and a concise analysis.
Let AI read, write, search files, and run local commands.
Securely lets AI browse, search, and understand local project files.
Securely lets AI read, write, and execute local tasks remotely.
Simulate cloud services locally for faster development and testing workflows.
Process multimodal content and GUI automation locally with strong privacy and efficiency.
Connect GitHub and local files to share standards, docs, and prompts with AI.