MCP Servers

Google Scholar Search is an MCP-compatible server that enables AI models to directly query and retrieve academic paper data from Google Scholar. It is designed for researchers and students who want to ground AI-assisted literature reviews in real-time scholarly data. Its key differentiator is the seamless integration of structured academic metadata into the Model Context Protocol ecosystem, bypassing the need for manual copy-pasting.

NetworkCalc is an MCP server that grants AI agents real-time access to essential networking utilities like DNS, WHOIS, and subnet calculations. It is designed for IT professionals and developers who need to integrate live network data into their AI-driven troubleshooting or coding workflows. Its primary differentiator is its ability to eliminate LLM hallucinations by providing verifiable, real-time networking facts directly within the chat interface.

tcmb_mcp is an open-source Model Context Protocol (MCP) server that provides AI assistants with direct access to Turkish Central Bank (TCMB) exchange rate data. It enables developers and financial analysts to fetch historical rates dating back to 1996 and perform currency conversions with built-in holiday awareness.

Ziwei & Bazi Astrology (mingli-mcp) is an open-source Model Context Protocol (MCP) server that enables AI assistants to generate and interpret complex Chinese metaphysical charts. It is designed for tech-savvy practitioners and developers who want to leverage LLMs for precise Ziwei Doushu and Bazi analysis, offering a unique bridge between ancient tradition and modern AI workflows.

MTG Chinese Card Database (sbwsz-mcp) is an open-source Model Context Protocol (MCP) server that provides AI agents with direct access to localized Magic: The Gathering card data. It enables complex, natural-language card queries and unique visual generation tools specifically for the Chinese-speaking MTG community.

Greeting & Utilities is an open-source Model Context Protocol (MCP) server that equips AI assistants with a multi-functional toolkit, including multi-language greetings, timezone lookups, and image generation. It is designed for developers and AI power users who want to centralize everyday utility tasks and code review workflows directly within their LLM interface.

Vibe Marketing MCP (HyperFeed.ai) is an open-source Model Context Protocol server that bridges the gap between AI models and professional marketing frameworks. It allows users to equip AI assistants with structured templates for viral content creation, social media metadata extraction, and platform-specific engagement strategies.

WebSim Explorer is an open-source Model Context Protocol (MCP) server designed to search, filter, and analyze the vast ecosystem of AI-generated simulations on WebSim.ai. It is a specialized utility for developers and power users who want to programmatically discover trending projects, track influential creators, and curate digital assets. Its key differentiator is the ability to integrate WebSim’s database directly into AI environments like Claude Desktop for real-time research.

KMB Bus (mcp_hkbus) is a Model Context Protocol (MCP) server that integrates real-time Hong Kong bus arrival data directly into AI assistants like Claude. Designed for developers and power users, it differentiates itself by moving transit queries out of traditional apps and into the conversational AI workflow.

Grokipedia is an open-source Model Context Protocol (MCP) server that enables AI agents to perform structured research and deep data extraction from Wikipedia. It is designed for users of AI assistants like Claude who need high-fidelity information retrieval, offering a key differentiator through guided workflows that can compare subjects and extract specific article sections for better context.

Financial Modeling Prep (FMP) is a comprehensive market data provider that offers institutional-grade financial information, including SEC filings and real-time quotes, via a developer-friendly API. Its standout feature is a dedicated Model Context Protocol (MCP) server, which allows AI agents like Claude to query financial data directly without requiring custom integration code.

Python execute (py_execute_mcp) is an open-source MCP server that allows AI agents to run Python code within a secure, sandboxed environment. It is designed for developers using AI tools like Claude Desktop or Cursor, enabling them to execute snippets and manage dependencies without local configuration. Its key differentiator is the support for PEP 723, allowing agents to declare and install requirements inline within the code block.

Korean Law Search (lexlink-ko-mcp) is a Model Context Protocol (MCP) server that connects AI assistants like Claude and Cursor directly to the official South Korean National Law Information Center. It is designed for legal professionals and developers who need to perform structured, natural-language research on Korean statutes and administrative rules. Its key differentiator is the ability to drill down into specific article hierarchies and access English translations within an AI-native workflow.

Where's my train? MTA Guide is an open-source Model Context Protocol (MCP) server that provides real-time NYC subway arrivals, service alerts, and route planning directly to AI agents. It is designed for tech-savvy commuters and developers who want to integrate live transit data into their AI workflows or chat interfaces.

PlantUML Diagrams (by Infobip) is an MCP server that empowers AI assistants like Claude to generate, validate, and render technical diagrams directly within a chat workflow. It bridges the gap between natural language architecture descriptions and precise UML visuals by providing real-time syntax error correction and embeddable image URLs.

Clinical Trials Data is an open-source Model Context Protocol (MCP) server that provides AI agents with structured, real-time access to the ClinicalTrials.gov database. It is designed for medical researchers and AI developers who need to perform complex searches, statistical analyses, and trial matching directly within LLM environments like Claude Desktop. Its key differentiator is its specialized set of tools for trend analysis and batched data retrieval, which significantly reduces the manual effort required for clinical data extraction.