Packages

[](https://github.com/singlestore-labs/mcp-server-singlestore/blob/main/LICENSE) [](https://pypi.org/project/singlestore-mcp-server/) [](https://pepy.tech/project/singlestore-mcp-server)

Model Context Protocol (MCP) server for MediaWiki

The Memento Protocol — persistent memory for AI agents

MCP server for Memory Nexus - persistent semantic memory for AI agents. Remember, recall, connect, learn.

MCP server for Nexus Memory API - persistent semantic memory for AI agents. Remember, recall, connect, learn.

Unofficial TypeScript/JavaScript library to scrape and expose CSFD.CZ data (movie/series details, creators, user ratings, user reviews), plus optional CLI, Docker support, and an MCP server interface for LLMs.

MCP server exposing P-Link.io API as tools

Provides a Python MCP (Model Context Protocol) server exposing tools to directly manipulate PDF files (text, images, annotations, form fields, page operations, cropping, and metadata) using PyMuPDF/official MCP FastMCP.

<!-- mcp-name: io.github.mkerchenski/reddit-ads-mcp -->

[](https://registry.modelcontextprotocol.io)

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A Todo List MCP Server

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<!-- mcp-name: io.github.JayQuan-McCleary/zenlink-mcp -->

An MCP server that enables AI models to search Chinese railway (12306) train tickets, query station stops, filter train info, and find multi-leg transfer routes.

Enables AI agents to read, analyze, and modify Figma designs via MCP. Connects through a local WebSocket server and a Figma plugin, allowing agents to extract document info, create shapes/text/frames, modify styles (colors, borders, shadows, typography, auto-layout), and work with components.

`gh-mcp` is a GitHub CLI extension that launches the `github-mcp-server` bundled binary as an MCP server, using the user’s existing `gh` authentication instead of requiring manual GitHub PAT setup. It verifies the bundled server archive via a pinned SHA256, extracts it for the current platform, and starts the server while passing credentials and configuration through environment variables.

An adaptive Python web scraping framework supporting everything from single HTTP requests to full-scale concurrent crawls, with built-in anti-bot bypass, browser automation, adaptive element re-location, and an MCP server for AI-assisted extraction.