Browse the catalog

MCP Serveur pour Atlassian

This MCP server implementation provides a bridge to a personal MediaWiki instance, enabling AI assistants to search, retrieve, and interact with wiki content. It offers tools for searching pages, fetching full page content, listing category pages, and retrieving recent changes. The server is designed to enhance knowledge management and research workflows by allowing AI to access and manipulate structured information stored in a personal wiki.

Interact with arXiv Crawler API to fetch papers, read.

Provides SQL analysis, linting, and dialect conversion using SQLGlot, enabling validation, transpilation, and extraction of table/column references.

Intercept and authorize outgoing machine-to-machine payments (x402 or similar) using @valiron/sdk trust decisions.

Personalized items recommendation upsell picker

MCP server that validates semantic version ranges using npm's semver engine, with payment via x402 on Base mainnet.

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.