
Jirka Spilka developed and maintained Model Context Protocol (MCP) servers for Apify Actors, focusing on modelcontextprotocol/servers and punkpeye/awesome-mcp-servers repositories. He implemented server-side features enabling web search, URL scraping, and Markdown content retrieval for RAG workflows, leveraging API integration and server development skills. Jirka improved documentation clarity and onboarding by refining Markdown-based guides and correcting repository links, ensuring accurate resource localization. His work included integrating over 3,000 cloud-based data extraction tools and validating cross-repo metadata. Throughout, he demonstrated proficiency in version control, technical writing, and documentation hygiene, delivering maintainable solutions that accelerated MCP adoption and usability.

September 2025 monthly summary for the modelcontextprotocol/servers focused on ensuring documentation accuracy for the Apify MCP Server and improving overall repository clarity. Delivered a targeted bug fix to correct the documentation link and capabilities description, reinforcing correct resource localization and reducing onboarding friction.
September 2025 monthly summary for the modelcontextprotocol/servers focused on ensuring documentation accuracy for the Apify MCP Server and improving overall repository clarity. Delivered a targeted bug fix to correct the documentation link and capabilities description, reinforcing correct resource localization and reducing onboarding friction.
January 2025 focused on expanding the Apify MCP ecosystem visibility and improving documentation across three repositories. Delivered a new server entry in the README for the official Apify MCP Server, introduced the Actors MCP Server enabling access to 3,000+ pre-built cloud tools for data extraction, and enhanced Model Context Protocol docs to include the Apify MCP Tester among supported clients with improved layout. No major bugs reported; minor documentation cleanups were performed to clarify open-source status. These changes improve user onboarding, accelerate adoption of MCP tooling, and strengthen cross-repo documentation for developers and contributors.
January 2025 focused on expanding the Apify MCP ecosystem visibility and improving documentation across three repositories. Delivered a new server entry in the README for the official Apify MCP Server, introduced the Actors MCP Server enabling access to 3,000+ pre-built cloud tools for data extraction, and enhanced Model Context Protocol docs to include the Apify MCP Tester among supported clients with improved layout. No major bugs reported; minor documentation cleanups were performed to clarify open-source status. These changes improve user onboarding, accelerate adoption of MCP tooling, and strengthen cross-repo documentation for developers and contributors.
December 2024 delivered foundational MCP server capabilities for Apify Actors across two repositories, enabling streamlined web searches, URL scraping, and Markdown content retrieval within RAG workflows. The work included creating an MCP server for the Apify Actor in modelcontextprotocol/servers and an MCP server for Apify's RAG Web Browser in punkpeye/awesome-mcp-servers, alongside targeted documentation improvements. Minor fixes to docs (Tavily link and line spacing) reduced onboarding friction and improved maintainability. These efforts establish reusable MCP patterns and directly accelerate integration and content retrieval for RAG-based applications.
December 2024 delivered foundational MCP server capabilities for Apify Actors across two repositories, enabling streamlined web searches, URL scraping, and Markdown content retrieval within RAG workflows. The work included creating an MCP server for the Apify Actor in modelcontextprotocol/servers and an MCP server for Apify's RAG Web Browser in punkpeye/awesome-mcp-servers, alongside targeted documentation improvements. Minor fixes to docs (Tavily link and line spacing) reduced onboarding friction and improved maintainability. These efforts establish reusable MCP patterns and directly accelerate integration and content retrieval for RAG-based applications.
Overview of all repositories you've contributed to across your timeline