Categories

markdown2pdf-mcp

by karanbisht243

# markdown2pdf-mcpConvert Markdown to PDF with ease. This package supports MCP server for clients like Claude Desktop, ensuring high-quality, print-ready outputs. 🚀💻

ffmpeg-mcp

by ZizoTheDev

An MCP server for FFmpeg

mcp_config_manager

by Sumedh1599

Generates and updates `claude_desktop_config.json` or compatible settings files for Claude Desktop and TypingMind based on server output paths and settings.

timezone-toolkit

by Cicatriiz

Advanced MCP server providing comprehensive time and timezone tools.

ViaMCP-Reborn

by ViaVersionMCP

Client-side version changer for MCP using ViaVersion, ViaBackwards and ViaRewind

markdown2pdf-mcp

by Serendipity-AI

MCP client for the markdown2pdf.ai service. ⚡ Markdown to PDF conversion, for agents. ⚡ Agents speak Markdown. Humans prefer PDF. Bridge the gap for the final stage of your agentic workflow. No sign-ups, no credit cards, just sats for bytes.

mcp1.8.9op

by dxxxxy

A fixed mcp workspace configured for 1.8.9 integrated with optifine and setup with a single setup.bat.

MCP_Qradar

by pect0ral

Conversion Scripts to ingest McAfee Cloud Proxy logs into IBM Qradar. This requires pulling the websaas CSV files from the McAfee CSR Server to be converted into an ingestible format

Tesseract-MCPE-Windows

by PluginBOXone

PocketMine Tesseract Version 1.0.7 for Windows!

mcp-package-version

by sammcj

An MCP server that provides LLMs with the latest stable package versions when coding

ViaMCP

by ViaVersionMCP

Client-side Implementation of the Via* projects for MCP

mcp-server-atlassian-bitbucket

by aashari

A TypeScript-based Model Context Protocol (MCP) server for Atlassian Bitbucket integration. Provides tools for accessing and managing repositories, pull requests, and workspace data to connect Claude/Anthropic AI systems to Bitbucket.

github-mcp-server

by cyanheads

A Model Context Protocol (MCP) server built in TypeScript that integrates with GitHub's API, enabling AI assistants to manage repositories, issues, pull requests, and code while providing a structured interface for LLM agents to perform GitHub operations.