Store text or raw content as a memory in the Memory Box MCP Server, organizing it into specific buckets with structured metadata for easy retrieval and semantic understanding.
Execute Python code securely in a sandbox environment, with options for pip install commands, JSON parsing, timeout, memory allocation, and saving output files.
Identify Python packages installed in a specific environment using the MCP Python Interpreter. Specify the environment name to retrieve a detailed list of installed packages for efficient dependency management.
Discover all available Python environments, including system Python and conda environments, using this tool to manage and interact with your Python setups effectively.
Install or upgrade Python packages in specified environments using the MCP Python Interpreter. Manage dependencies efficiently for custom or system-wide Python setups.
Generate a concise high-level summary of a memory document by providing its ID, aiding agents in quickly understanding project context and accumulated knowledge.
Enables academic research through paper search across multiple databases (IACR, CryptoBib, Crossref, Google Scholar), PDF processing, and GitHub repository browsing. Features modular architecture with FastMCP-based proxy server routing to specialized academic tools.
Provides knowledge graph functionality for managing entities, relations, and observations in memory with strict validation rules to maintain data consistency.