Browse the catalog

A local MCP server that securely uploads explicitly selected local images to RecallFox, keeping image bytes and OAuth tokens out of model context.

MCP server for Crypto APIs Transactions Data. Enables lookup of transaction details by hash across EVM, UTXO, Solana, XRP, and Kaspa blockchains.

🚀 A FastMCP-based server bridging Google Jules Agent with MCP clients (like Claude Desktop). Seamlessly manage sources, sessions, and activities!

Books MCP — wraps Open Library API (free, no auth)

Find nearby Citi Bike stations with distance and e-bike/classic availability. Choose optimal pickup or drop-off spots in seconds. Plan rides more efficiently across the Citi Bike network.

A small, self-contained MCP server for talks: consulting-firm staffing, fictional in-memory data, four tools (TypeScript, MCP SDK v2)

Enables Claude to search and retrieve articles from the Sneaky Sasquatch game wiki via natural language queries.

A simple, beginner-friendly Model Context Protocol (MCP) server written in Python. It lets any MCP-compatible AI client (like Claude Desktop) manage a to-do list on your computer through five tools: add, view, get by ID, complete, and delete.

Tolstoy MCP for AI-native ecommerce brands: Studio generates marketing videos and images, Library manages your media library, shoppable widgets, and ads, and Shopper searches products across brand stores with virtual try-on.

Enables tracking annual performance appraisal by logging professional achievements as structured Markdown notes to an Obsidian vault through natural language conversation with VS Code Copilot.

Provides comprehensive LXD container and virtual machine management through the Model Context Protocol. Built in Go using the official Canonical LXD client library, it offers complete lifecycle operations including creation, deletion, start/stop/restart, freezing, and configuration updates for both containers and VMs. Supports image management with shortcuts for Ubuntu and LXD image repositories, command execution within instances, and detailed state monitoring. Useful for automating container workflows, managing development environments, or orchestrating containerized applications.

A comprehensive tutorial project that teaches Model Context Protocol (MCP) development from beginner to advanced levels, covering both server-side and client-side development.

Persistent semantic memory for MCP-compatible agents, enabling them to remember and recall text, audio, and documents across sessions.

Enables access to the Recash1 API for searching and retrieving product information from a database, including filtering products and getting all products with their codes.

Exposes the LogicMonitor REST API as MCP tools with per-request LMv1 authentication, enabling querying of devices, alerts, reports, and more.

MCP server for npm — search packages, get details, and download stats

Enables interaction with Online Judge APIs for competitive programming. Lists available problems, fetches problem details with constraints and test cases, submits code solutions in multiple languages, and tracks submission status. Supports authenticated user sessions to access personal submission history and problem-solving progress.

Verifies names against US OFAC sanctions lists, including SDN and Non-SDN, for compliance and AML. It provides a read-only MCP tool that works with any MCP client via HTTP.

MCP server for maintaining specific Wikidata items (person, company, publications) with read tools and a two-step write workflow that enforces sourced, human-approved batch edits.

The Substrate MCP server provides AI assistants with direct access to Substrate blockchain operations through a Rust implementation. Developed by Thomas Marches, this server exposes tools for querying account balances, accessing storage, submitting transactions, and retrieving blockchain data like events, blocks, and extrinsics. It leverages the subxt library for Substrate interaction and supports dynamic operations across different pallets, with optional transaction signing capabilities configured through environment variables. The implementation is particularly valuable for blockchain developers and users who need to interact with Substrate-based networks without switching contexts from their AI assistant.