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This MCP server, developed by Christian Pedersen, enables testing of Azure Function Apps through Cline. Built with TypeScript, it provides a command-line interface for interacting with Function App endpoints using various HTTP methods. The implementation supports custom headers, request body handling, and multiple authentication methods including Basic, Bearer Token, and API Key. It's designed for developers working with Azure Function Apps who need a streamlined way to test and debug their endpoints, offering a bridge between natural language interactions and Azure serverless functions. The tool is particularly useful for scenarios involving rapid prototyping, automated testing, or AI-assisted Azure Function App development.

Enables large language models to manage network devices (Cisco, Huawei, H3C, Ruijie) via Telnet/SSH, supporting command execution, configuration, and diagnostics.

The Shodan MCP server, developed by Cyreslab.ai, provides AI assistants with secure access to Shodan's extensive database of internet-connected devices and services through three primary tools: host information lookup, search functionality, and vulnerability information retrieval. The implementation features intelligent response sampling to reduce token usage, field selection for targeted data retrieval, and result summarization capabilities that distill large datasets into actionable intelligence. This server enhances cybersecurity research and threat intelligence workflows by enabling AI assistants to query detailed information about IP addresses, search for specific devices or services using various filters, and retrieve vulnerability details - all while maintaining efficient token usage through automatic response optimization.

An MCP server providing access to the IGDB (Internet Game Database) API for comprehensive video game information retrieval. Built by bielacki using FastMCP and httpx, it enables querying game details, release dates, platforms, genres, ratings, and other gaming metadata through IGDB's extensive database. The implementation handles API authentication and provides structured access to gaming data, making it useful for building gaming applications, research projects analyzing the video game industry, content creation workflows involving game information, and AI assistants that need to answer questions about video games and gaming history.

Wraps the SecurityTrails API to enable querying domain, IP, and DNS data through MCP tools or natural language via the Pipeworx gateway.

A local-first security gateway and visual dashboard for AI agents that enforces cost caps, blocks prompt injections, and requires approval for dangerous actions.

A specialized server that helps users create new Model Context Protocol (MCP) servers by providing tools and templates for scaffolding projects with various capabilities.

A Rust-based MCP server for TuShare financial data API, providing structured access to Chinese market data including stock listings, concept themes, money flow statistics, and minute-level price data. The implementation uses a custom derive macro system to handle API responses and includes models for various financial data types like limit-up stocks, concept lists, and trading statistics. The server supports multiple platforms through GitHub Actions workflows that build releases for macOS, Windows, and both x86_64 and ARM architectures.

A read-only MCP server for Cisco Meraki Dashboard, enabling LLMs to discover devices, check health, troubleshoot, and generate reports via natural language.

Enables AI assistants to play Pokemon Fire Red through the mGBA emulator by providing tools for button inputs and screenshots. It allows for direct reading of real-time game state from RAM, including party information, player location, and battle status.

Enables users to browse curated technology feeds and fetch any RSS/Atom/RDF feed.

An MCP server that provides access to Firebase Remote Config, allowing clients to interact with and manage Firebase remote configuration settings through the Model Context Protocol.

A command-line interface application that enables interactive chat with AI models via the Anthropic API, supporting document retrieval and command-based prompts through the MCP architecture.

Enables specification-driven development workflows for AI editors by managing structured project specifications through stages like requirements, design, and tasks.

An MCP server for reading, writing, and analyzing Excel files using Python, pandas, and openpyxl. It enables tasks such as managing multiple worksheets, performing structural data analysis, and creating new files from JSON data.

MCP server for Korea's DART (Data Analysis, Retrieval and Transfer) electronic disclosure system, operated by the Financial Supervisory Service (FSS). Exposes company disclosures, company profiles, and financial statements via the OpenDART public API.

Provides tools to search Naver services (web, news, blog, etc.) and analyze search trends using Naver DataLab, with all required MCP protocol methods implemented for compatibility with Cursor and Claude Desktop.

An MCP server that gives text-only AI coding CLIs the ability to analyze images by proxying them to Groq's free vision model and returning text descriptions.

An MCP server that enables keyword search over a local directory of documents, providing tools to search, fetch passages, and list sources without requiring external APIs or models.