Ctxo

MCP server for AI coding agents. Instead of reading files one by one, your agent gets dependency graphs, git intent, blast radius, and change health in a single call. Works with any language deep analysis for TypeScript, Go, and C#.

The Problem

AI coding assistants like Cursor, Claude Code, and Cursor rely on generic tools grep, find, file reads to understand your codebase. On brownfield projects with thousands of files, this brute-force exploration creates a chain of problems:

• Context window saturation The agent fills its window reading files one by one, leaving little room for actual reasoning
• Partial context hallucination It sees a function but misses its dependencies, leading to wrong assumptions and broken suggestions
• Lost-in-the-middle Critical information buried deep in a long context gets ignored by the model
• Context poisoning Irrelevant code pulled in during exploration biases the model's output
• Iteration overhead Understanding one symbol takes 10-20 tool calls, each adding more noise to the context
• Stale reasoning After too many iterations, the agent contradicts its own earlier assumptions

The result: more tokens burned, slower responses, higher cost, and lower quality output.

The Solution

Ctxo is an MCP server that enhances your existing AI tools with dependency-aware, history-enriched code intelligence. Instead of hundreds of grep and read_file calls, your agent gets the full picture symbol graphs, blast radius