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.
Access skill documents including scripts, reference materials, and assets. Retrieve Python files, data files, or images using pattern matching after finding relevant skills.
Import JSON or CSV data into a specified collection on Codehooks.io, either from a file path within the Docker container or directly from provided content.
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.