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This MCP server, developed by Hawstein, provides tools for fetching Reddit content through the platform's public API. Built using Python and leveraging the redditwarp library, it offers functionality to retrieve frontpage posts, subreddit information, hot/new/top/rising posts, and post details including comments. The implementation focuses on providing a standardized interface for Reddit data retrieval, enabling AI assistants to interact with Reddit's vast content ecosystem. It's particularly useful for applications requiring real-time access to Reddit discussions, trend analysis, or content curation, enabling use cases such as sentiment analysis, topic tracking, and automated content aggregation without direct navigation of Reddit's web interface.

Secure client database for Greek accounting firms.

Task management for AI agents. Read freely, write with Veyra commit mode.

MCP tool for monitoring API schema changes and breaking updates

Tiny helper for building API-key-protected stdio MCP servers. Wraps the official @modelcontextprotocol/sdk so you define tools with plain JSON schemas — no zod, no boilerplate — and get a working server with one call.

Default video conferences via Meetling.

Autonomous distributed agent deadlock & race condition detector (ThreadSanitizer)

TextToQuant MCP server: backtest plain-English trading strategies on real market data

Extract fonts (TTF/OTF) from any website using MSCHF Font Interceptor.

Multi-file context graph patch composer & atomic refactorer (Cursor Composer style)

The Transaction Categoriser MCP server provides AI assistants with the ability to process and organize financial transaction data. Built with Python using the FastMCP framework, it reads transaction files from a specified folder and categorizes them into predefined expense categories (such as Food/drinks, Transportation, Utilities) and income categories (Paycheck, Rental income, Other). The server outputs the categorized transactions in CSV format with date, amount, description, and category fields, making it particularly useful for personal finance management, expense tracking, and financial data organization within AI assistant conversations.

A simple server implementing the Model Context Protocol (MCP) that echoes messages back, designed for testing MCP clients.

Domain & company intel for AI agents: RDAP, DNS, email deliverability, tech stack. No API keys.

This MCP server provides AI assistants with access to Goodreads book data through integration with a GetGather service, enabling retrieval of personal book libraries and reading information. Built using Python with FastMCP and the requests library, it requires Goodreads account credentials and connects to a configurable GetGather host service (defaulting to localhost:8000) to fetch book data through authenticated API calls. The implementation supports both CLI usage for direct book retrieval and MCP server mode for Claude Desktop integration via environment variable configuration, making it valuable for book recommendation workflows, reading list management, and building AI assistants that need programmatic access to personal Goodreads data without manual library browsing.

Multi-file AST dependency graph parser & minimum context slicer extracting symbol call-trees for coding agents.

Gorgon Scout is a Windows web-application and API security scanner (DAST). This connector exposes it as MCP tools, so your AI assistant can record a target you are authorised to test, run the scan, stream findings, and produce a report. Capture needs no proxy or certificate setup, and it intercepts HTTP/1.1, HTTP/2, and HTTP/3 (QUIC). Works with the free Claude Desktop plan.

AI survey platform: create and publish surveys, collect responses, generate AI analysis reports.

Provides AI agents with quantitative risk tools such as VaR, expected shortfall, GARCH volatility, backtesting, stress testing, tail risk analysis, and credit scoring using synthetic or user-supplied data.

Provides paper search, PDF link retrieval, and content parsing for arXiv research papers, enabling seamless access to scientific literature through the Model Context Protocol.

Enables access to Hitsteps analytics and website operations through a remote MCP server, using OAuth for authentication and Streamable HTTP transport.