ContextBridge

Created By

Tiju Thomas7 hours ago

Local-first code retrieval for AI agents — cuts codebase context from tens of thousands of tokens to a few hundred, with zero hallucinated file paths.

# code-search

# retrieval

Overview Content Tools Comments

Overview

ContextBridge sits between your codebase and your AI coding agent. Instead of pasting raw source files into context (burning thousands of tokens on code that isn't relevant) or letting the AI guess which files matter, CB indexes your codebase's real structure and returns a compact, ranked result: the owner file, related files, key symbols, and dependency chains — grounded in your actual code, not guessed.

~96% token reduction on typical queries (measured: 118 KB raw context → 4–8 KB grounded result)
Zero hallucinated paths — every file/method returned is verified to exist, not inferred from naming patterns
Local-first — your code never leaves your machine; retrieval and optional analysis both run locally
Works with any AI client — Claude Code, Cursor, Codex, Antigravity, Gemini CLI, or anything that speaks MCP, over SSE or stdio
Generic engine — no project-specific tuning baked in; a swappable profile plugin handles domain-specific ranking, so it works on any codebase
Three retrieval modes — hybrid (keyword + vector), semantic (vector-only), keyword (fast exact lookups)

Try in Playground

Server Config

{
  "mcpServers": {
    "context_bridge": {
      "url": "http://127.0.0.1:8755/sse"
    }
  }
}

Project Info

Created At

7 hours ago

Updated At

7 hours ago

Author Name

Tiju Thomas

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