Enables users to query Wolfram Alpha's computational knowledge engine through natural language. Provides access to mathematical computations, scientific data, and factual information via the Wolfram Alpha API.
Allows LLMs to execute Wolfram Language code in a secure, session-based environment by providing an interface to interact with a Wolfram Mathematica kernel.
An MCP server that connects AI assistants to a local Wolfram Engine, enabling symbolic math, numerical analysis, and data visualization through Wolfram Language. It provides secure expression filtering, client authentication, and supports both local stdio and HTTP transports.
A server that provides access to Mathematica documentation through FastMCP, enabling users to retrieve function documentation and list package symbols from Wolfram Mathematica.
Enables scientific computing, mathematical problem solving, and step-by-step mathematical solutions through Wolfram Alpha's mobile API. Supports real-time streaming responses and multiple output formats for enhanced mathematical and scientific queries.
Enables AI assistants to manage Todoist tasks, projects, and labels through natural language, with support for filters, priorities, and natural language dates.
Enables AI assistants and developers to analyze code for language-specific best practices and idiomatic patterns across programming languages, CI automation, and configuration formats.
An AI-powered SQLite assistant that converts natural language to SQL queries with full schema awareness, enabling users to interact with databases using conversational language.
Enables large language models to automatically report customer-facing issues with Azure resources by parsing natural language requests and submitting impact reports through the Azure Management API.
A bridge connecting physical hardware with AI large language models through the Model Context Protocol (MCP), enabling natural language control of TCP devices.
An extension that allows Large Language Models to interact with and analyze Active Directory environments through natural language queries instead of manual Cypher queries.
Bridges large language models with the Cobalt Strike C2 framework, enabling AI assistants to control adversary simulation workflows through natural language.
Enables large language models to interact with Alpaca's trading infrastructure using natural language, supporting stock/options trading, portfolio management, watchlist handling, and real-time market data access.