Retrieve all Python files within a specified directory or its subdirectories using the MCP Python Interpreter. Input the directory path to generate a list of relevant files.
Create Python script templates for custom FCCS reporting to query financial data by accounts, entities, periods, years, and scenarios, generating HTML, PDF, or CSV outputs.
A mock MCP server for testing MCP client implementations and development workflows. Supports tools, prompts, and resources across multiple transport protocols (stdio, HTTP, SSE).
Enables AI agents to safely explore directories, read files, search content by pattern or filename, and edit files with checksum verification and dry-run preview within sandboxed filesystem access.
A tool that helps AI agents interact with Docker containers on local or remote machines, allowing users to manage and troubleshoot containers without Docker knowledge.