"Information about the VIX (Volatility Index)" matching MCP servers:

Enables AI agents to directly manipulate Jupyter Notebook cells and structure through a secure, well-defined API, overcoming Cursor's AI agent mode limitations.

Give your AI app any GitHub link and the job you want done. UGT gets the project running on your computer and hands you the result.

An MCP server that lets AI models run code in 31 languages, evaluate symbolic math and logic problems, and measure complexity—exposed as 48 tools for execution, session management, translation, optimization, and more.

Enables coding agents to compile supplied files, run optional focused tests, and get static findings across ten programming languages, providing a deterministic feedback loop on the code they are about to return.

MCP server for Python build123d to help AIs develop and reason about 3D models and CAD

Enables compiling Lean 4 proof snippets on the local machine against a Mathlib project and returns structured compiler feedback — status, one-line hints, and the compiler's real error, warning, and information messages — so a model can iterate on proofs instead of guessing. Compilation is serialized, timeouts kill stuck tactics, and rejected code is reported as a normal result rather than a tool failure.

A Model Context Protocol server that integrates Cursor IDE with Bitbucket Cloud, allowing developers to fetch repository information and commit data directly from their Bitbucket workspace.

Enables Claude or any MCP client to drive a live SOLIDWORKS session through its COM API, modeling parts, building assemblies with mates, checking interferences and machining feasibility, and exporting STEP or DXF files. It also exposes a local semantic index of the SOLIDWORKS API so the model can look up signatures, enums, and official examples before running arbitrary Python against the session.

A comprehensive learning project demonstrating MCP server implementation with tools for calculator operations, file management, and system information retrieval, including Google ADK integration patterns and best practices.

Enables any MCP-compatible AI agent to directly operate PixInsight through about 80 tools for opening and editing images, running processes, PixelMath, astrometry, and channel operations.

An open source Model Context Protocol server for PostgreSQL that provides database health analysis, index tuning, query plan exploration, and safe SQL execution for AI agents throughout the development process.

A local Ethereum contract analysis tool that retrieves on-chain information, integrates Etherscan and RPC data, and automatically executes view functions to provide comprehensive contract insights.

A boilerplate project for quickly developing Model Context Protocol (MCP) servers using TypeScript SDK. Includes example tools for calculations and greetings, plus system information resources.

A simple MCP server that provides a tool to fetch current weather information for cities using the Open-Meteo API, communicating through stdin/stdout.

A Model Context Protocol server that retrieves current weather information for any city using the OpenWeatherMap API, designed for integration with Claude Code.

A boilerplate project for quickly developing Model Context Protocol (MCP) servers using TypeScript SDK. Includes example tools like calculator and greeting functions, plus system information resources.

Provides comprehensive documentation about AWS AgentCore framework to GenAI tools, enabling users to build production-ready AI agents with enterprise-grade security, observability, and scalability. Offers guidance on identity management, API integration, monitoring, code execution, memory storage, and tool integration for AI agents.

A simple demonstration server for the MCP Python SDK that provides weather alerts for locations, allowing users to query weather information through Claude Desktop or Cursor.

A local MCP server that enables AI clients to read ArcGIS Pro project information and execute ArcPy geoprocessing in the native ArcGIS Pro Python environment.

A microservice control plane server that integrates with Windsurf IDE by fetching API information from Eolink OpenAPI and exposing it as MCP resources, enabling seamless API integration and management in the development environment.

Provides AI-driven development tools including file system operations, multi-language code analysis with tree-sitter, Git operations, code execution, and system information retrieval.

An MCP server that exposes Language Server Protocol features to external clients, allowing access to hover information, definitions, completions, references, and rename functionalities.

Enables AI coding tools like Cursor to access Figma design files and metadata, allowing accurate one-shot implementation of designs in any framework by providing simplified layout and styling information from the Figma API.

Enables large language models to access user geolocation information through EdgeOne Pages Functions using the Model Context Protocol.

MCP server to provide Sketch layout information to AI coding agents like Cursor

Enables agents to manage headless virtual machines and hypervisors, including listing VMs, inspecting VM details, managing snapshots, listing networks, reporting host information, and running sandboxed code through MCP tools.

A starter template for building Model Context Protocol (MCP) servers using TypeScript and Zod for schema validation. It provides a foundational structure and examples for implementing custom tools and resources, such as calculators and system information endpoints.

Implements a Model Context Protocol server that connects with Zerodha Kite API, allowing users to buy/sell stocks and retrieve holdings and positions information.

A Model Context Protocol server that enables Claude AI to interact with Paybyrd's payment processing API, allowing for creating payment links, processing refunds, and retrieving order information.

A starter template for quickly developing Model Context Protocol (MCP) servers using the TypeScript SDK and Zod for schema validation. It includes example implementations for custom tools and resources like calculators, weather services, and system information.

A boilerplate project for quickly developing Model Context Protocol servers using TypeScript SDK, with example calculator and greeting tools, and server information resources.

A foundational MCP server scaffold that provides pre-configured tools, resources, and prompts to jumpstart development for Claude Desktop. It enables users to perform mathematical calculations and access system information while offering a standardized pattern for building custom extensions.

A multi-agent system that connects a math server and weather server, allowing users to perform mathematical operations and retrieve weather information based on the numerical results.

Enables AI assistants to remotely control IDA Pro for reverse engineering and binary analysis, including executing Python scripts, retrieving binary information, searching values, text, and byte sequences, and getting disassembly.

Enables AI assistants to control Houdini by executing Python code, querying scene information, and creating nodes via the Model Context Protocol.

A server that likely facilitates integration between GitHub Copilot and Visual Studio Code, though the README lacks specific details about its functionality.

A Model Context Protocol server that enables natural language querying of the Censys Search API for domain, IP, and FQDN reconnaissance, providing information about hosts, DNS, certificates, and services in real-time.

Hardened MCP bridge to the full Ollama ecosystem — local and cloud models. 6 tools covering health, model management, chat, and generation with SSRF mitigation, singleton HTTP client, and structured error handling. Two deps, one file.

A persistent Python REPL MCP server for AI agents with stateful execution, real timeouts, crash isolation, and an MCP bridge to call other tools in the project.

Enables AI assistants to run code in 24 programming languages on HackerEarth's sandboxed servers and read the printed output or errors, without installing local toolchains. It also lists supported languages with exact identifiers for use when submitting code.