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EVE Online MCP server implementation built with TypeScript and the Model Context Protocol SDK, designed to provide AI assistants with access to EVE Online market data and game information. The server uses node-fetch for API interactions and includes Docker containerization for easy deployment, with configuration support through Smithery.ai for streamlined MCP integration. Useful for EVE Online players and developers who want to analyze market trends, check item prices, or integrate game data into their workflows through natural language interactions with AI assistants.

A Dockerized MCP server that fetches your GitHub repositories, indexes them into a local vector database, and exposes semantic code search tools to LLM clients for tailored technical mock interviews grounded in your actual code.

This MCP server enables users to issue IBAMA environmental embargo certificates (negative certificates) for individuals or companies using CPF or CNPJ, with a read-only tool and prepaid credits.

Demonstration MCP server for Claude Team integration, enabling querying of sample business data (orders, clients, products) and real-time currency exchange rates through natural language.

Enables Claude Code to directly control Android emulators or Windows windows for MaaFramework pipeline development, with features like screenshot with grid, template cropping, and real-time recognition testing.

USGS ScienceBase catalog MCP.

Custom MCP server in Python with UV by python-sdk [https://github.com/modelcontextprotocol/python-sdk]

Look up Gulf Arabic words with pronunciation, example sentences, and cultural context. 30 essential words for learning Arabic used in Saudi Arabia, UAE, Qatar, Kuwait, Bahrain and Oman.

The Org Transport Protocol MCP server enables AI assistants to query cross-organizational knowledge — including best practices, network learnings, publishing organizations, role-specific rules, and agent org charts — with no account required. Ten tools support semantic search and retrieval across organizational knowledge networks, connecting to the orgtp.com API backend.

Enables AI agents to verify Robinhood Stock Token prices against real market prices before trading, providing a fair-price verdict based on onchain and reference data.

Provides deep analysis of Solana tokens, their risks, and holder information.

Wraps the Podcast Index API (podcastindex.org) to enable AI agents to search and retrieve podcast episodes and metadata.

Enables natural language queries to UNESCO Institute for Statistics data via Pipeworx gateway.

MCP server for computing BaZi (Four Pillars) charts. Supports Gregorian, lunar, or direct Four Pillars input, with optional true solar time correction, and outputs strength, pattern, and useful god.

GoogleCalendarMCP provides a bridge between AI assistants and Google Calendar, enabling event creation with customizable parameters including time, description, location, attendees, and timezone. The implementation uses FastMCP to expose a tool that authenticates with Google's OAuth flow, handles credential management, and interacts with the Google Calendar API to create events. Particularly valuable for users who want to schedule meetings or appointments directly through their AI assistant without switching contexts.

A TypeScript-based server that enables AI assistants to interact with ERPNext/Frappe systems through the Model Context Protocol, allowing access to documents, creation/updating of records, and running reports.

Enables querying and searching Connecticut Open Data via Socrata SoQL API, allowing AI agents to access state agency, public health, education, and transportation datasets using natural language or structured queries.

MCP server for AI agent output quality — hallucination detection, scope compliance, quality scoring

This MCP server provides semantic codebase search and file retrieval using CocoIndex embeddings and PostgreSQL with pgvector for similarity search. Built by allentcm, it integrates with the Voyage API for code-specific embeddings (voyage-code-3 model) and offers three core tools: semantic code search that returns relevant snippets with similarity scores and line numbers, file listing from the tracking table, and complete file content retrieval. The implementation uses CocoIndex's transform flow system for embedding generation, supports Docker deployment with environment-based configuration, and is designed for AI assistants that need to understand and navigate large codebases through natural language queries rather than traditional keyword-based search.

Provides real-time Bitcoin on-chain data including Bitmap districts, Ordinals inscriptions, Runes, sat rarity, block details, and current fees via the Model Context Protocol, with zero configuration required.