mksglu
To eliminate AI context window bloat by sandboxing raw tool outputs and returning concise, indexed answers, enabling more efficient agentic workflows.
At a Glance
- Software Developers
- AI Engineering Teams
- Enterprises adopting agentic AI
AI Tools by mksglu
(1)
Context Mode
MCP Server for Context Window
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Latest News
Context Mode announces integration with OpenAI's Symphony spec
Context Mode becomes top trending repository on GitHub
57,000+ developers now using Context Mode to optimize Claude Code
Context Mode featured in Better Stack community guides as top MCP server
Products & Services
An open-source Model Context Protocol (MCP) server that reduces AI agent context window consumption by up to 98% by sandboxing tool outputs into SQLite and returning indexed answers.
Market Position
Unlike standard memory plugins, Context Mode uses a virtualization and indexing approach to ensure that only 2% of raw data enters the context window while maintaining full data access for the model.
Leadership
Founders
Burak Mert Köseoğlu
Senior Software Engineer with 10+ years of experience building AI-native systems at scale. Former consultant and tech lead with expertise in scaling teams and improving developer experience (DX).
Executive Team
Burak Mert Köseoğlu
Founder & Lead Engineer
10+ years of software engineering experience; specializes in AI-native system architecture and developer tools.
Board of Directors
Founding Story
Built by Mert Köseoğlu after realizing that AI coding agents consume excessive context window space (up to 40% in 30 minutes) on raw tool outputs like logs and Playwright snapshots. The tool was created to sandbox these outputs and provide only relevant answers.
Business Model
Revenue Model
Open Source with sponsorship/donation model; potential for enterprise consulting and managed services through MKSF LTD.
Pricing Tiers
Available on GitHub; donation-based support model via GitHub Sponsors.
Target Markets
- Software Developers
- AI Engineering Teams
- Enterprises adopting agentic AI
- AI Coding Agents (Claude Code, Cursor, Copilot)
- Managing large log outputs and file content in context
- Reducing token costs for developer LLM interactions
- 57,000+ Individual Developers
- AI Startups using MCP