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qualityA Python implementation of an MCP server that extracts webpage content, removes ads and non-essential elements, and transforms it into clean, LLM-optimized Markdown.
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Python
MIT License
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Why this server?
A Python implementation of an MCP server that extracts webpage content, removes ads, and transforms it into LLM-optimized Markdown.
Why this server?
A JVM monitoring and control platform server based on Arthas that provides a Python interface for monitoring and analyzing Java processes.
Why this server?
A Model Context Protocol server that enables Claude to execute Python code using boto3 to query and manage AWS resources directly from conversations.
Why this server?
A Model Context Protocol server that allows LLMs to execute shell commands and receive their output in a controlled manner (likely Python-based due to typical shell scripting language).
Why this server?
This server enables interaction with Supabase PostgreSQL databases through the MCP protocol, allowing seamless integration with Cursor and Windsurf IDEs for secure and validated database management; the description implies it is implemented in Python.
Why this server?
A server implementation that allows AI models to interact with Jira through the Model Context Protocol, enabling tasks like JQL searches and retrieving issue details; the name indicates implementation in Python.
Why this server?
A Model Context Protocol server that enables AI assistants like Claude to perform Python development tasks through file operations, code analysis, project management, and safe code execution; explicitly states its purpose for Python development tasks.
Why this server?
A Python-based MCP server that integrates OpenAPI-described REST APIs into MCP workflows, enabling dynamic exposure of API endpoints as MCP tools.
Why this server?
A Python MCP server that enables semantic search through Search Labs blog posts indexed in Elasticsearch, allowing Claude to intelligently retrieve relevant information from the blog content.
Why this server?
A Model Context Protocol server that enables AI assistants to interact with Sentry for error tracking and monitoring, allowing retrieval and analysis of error data, project management, and performance monitoring through the Sentry API; likely written in Python as Sentry is Python-based.