Locate files in code repositories by matching glob patterns (e.g., '*.py', 'test_*.js') using an in-memory file index. Quickly retrieve file paths for analysis or verification without manual search.
Initialize a new project in QuantConnect by specifying a unique name, programming language, and optional organization ID. Organizes and structures your algorithmic trading strategies efficiently.
A Python MCP server that enables AI assistants to manage Todoist tasks and projects through the Model Context Protocol. It supports full CRUD operations for tasks and projects, including support for nested projects and Todoist's advanced filter syntax.
Enables semantic search and retrieval-augmented generation (RAG) using Qdrant vector database. Supports indexing documents from URLs and local directories, with flexible embedding options using Ollama or OpenAI.
A minimal Python-based proxy that bridges local MCP STDIO clients with remote MCP SSE servers. It enables bidirectional JSON-RPC message passing between standard command-line tools and web-based remote endpoints.