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Securely lets AI read, write, and execute local tasks remotely.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "mcp-common-server" yet — see the docs or source repo.
Connect to my local project directory through mcp-common-server, review the code under src, fix the null pointer issue in the login API, update the relevant files directly, and then list a summary of changes and modified files.
The AI reads local code, edits files, and returns a fix summary with changed files.
Use mcp-common-server to run test and build commands in my local repository, identify why they fail, and provide fix suggestions; do not delete any files.
The AI runs local commands, summarizes error logs, and provides actionable debugging and fix suggestions.
I have exposed mcp-common-server with ngrok. Guide Claude Web to access this MCP service, read documents in a specified directory, and generate a project structure overview with key file explanations.
The AI accesses the local directory via MCP, organizes the file structure, and produces project documentation.
Let AI read, write, search files, and run local commands.
Run a production-ready MCP server for files, HTTP, system info, and environment tools.
Securely let AI read, search, and edit local files with local LLMs.
Securely let AI read, write, and query local files and metadata.
Secure file and directory operations for autonomous AI development workflows.
Execute local shell commands and manage files from MCP clients.