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MCP Server for Hacker News provides a standardized interface to access Hacker News data through the official Firebase API. Built with TypeScript and the Model Context Protocol SDK, it offers two primary tools: retrieving top stories and fetching detailed information about specific stories by ID. The server handles API requests with proper error management and returns structured JSON responses, making it ideal for AI assistants that need to incorporate current Hacker News content into conversations without requiring custom API integration code.

Enables AI assistants to interact with Odoo ERP systems through XML-RPC to manage records, search for employees, and track holidays. It provides comprehensive access to Odoo models and methods, allowing users to query data and execute custom functions via the Model Context Protocol.

A simple blog API service built with FastMCP that allows users to fetch all blogs, search for blogs by title, and add new blog posts.

Complete Ahrefs API integration for SEO analysis.

Exposes add, subtract, multiply, and divide tools for performing arithmetic operations over stdio via the Model Context Protocol.

MCP server for checking domain name availability across 500+ TLDs using RDAP with WHOIS fallback for specific TLDs.

Enables querying labor court (TRT7) legal proceedings from official sources via a read-only MCP tool, with usage-based prepaid credits.

Harvest MCP Server provides integration with the Harvest time tracking and project management API, allowing Claude and other AI assistants to interact with your Harvest account. Built by Taiste Oy, this server enables users to manage time entries, projects, clients, and tasks directly through conversation. The implementation uses FastMCP to expose a comprehensive set of tools for listing users, creating and managing time entries, starting/stopping timers, and retrieving detailed information about projects and clients. It authenticates with the Harvest API using environment variables and is designed to work seamlessly with Claude Desktop, making it particularly valuable for professionals who need to track time and manage projects without switching contexts.

AI-powered GitHub issue management workflow built with n8n, OpenAI, Slack, Monday.com and MCP tools.

Read-only MCP server for searching and retrieving the 2022 revised Korean special education curriculum for middle and high schools, with official source references, filters, and achievement standards.

An MCP server that lets AI agents visually perceive and edit video inside DaVinci Resolve Studio by rendering frames and manipulating the timeline.

Enables AI agents to manage invoices, customers, suppliers, accounting entries, orders, and more through Fortnox's cloud accounting platform via natural language.

Enables access to the IUPHAR/BPS Guide to PHARMACOLOGY database for querying drug targets, ligands, and pharmacological data without API keys.

Captures and organizes requirements as markdown, tracks relationships between personas, requirements, use cases, and user stories.

Enables AI to create and publish interactive web apps, games, and 3D scenes using Rosh, a plain-English programming language. It supports compilation to HTML5 canvas, Phaser, or Three.js.

A lightweight MCP server for tracking personal expenses, income, and budget summaries using SQLite.

Type-safe MCP server for investigative journalism that enforces evidentiary standards on master-file.json, preventing chain-of-custody violations and ensuring publishable claims meet criteria.

exa-mcp is a server implementation that provides access to the Exa Search API through the Model Context Protocol. Built with TypeScript and leveraging Polka for HTTP handling, it enables AI assistants to perform web searches with fine-grained control over parameters like search type (neural or keyword), content categories, date ranges, and domain filtering. The server supports both stdio and SSE transport methods, making it compatible with various MCP client implementations. Sponsored by ChatWise, this tool is particularly valuable for AI applications that need up-to-date information from the web with customizable search capabilities.

This DevRev MCP server, developed by Sunil Pandey, provides AI assistants with search and retrieval capabilities using the DevRev APIs. Built with Python and leveraging the MCP library, it offers tools for searching DevRev data and retrieving detailed information about specific objects. The server implements namespace-aware searching and object retrieval by ID. By abstracting the complexities of API communication, it allows AI systems to easily access and analyze DevRev data. This implementation is particularly valuable for DevRev users and developers working on integrations, enabling use cases such as automated issue tracking, customer support analysis, and data-driven decision making within the DevRev ecosystem.

Creates bilingual campaign strategies, channel copy, and publishing calendars from a URL and objective via a deterministic, network-free MCP stdio server.