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paperclip-plugin-codrag

MCP Tool

MagneticAnomaly/paperclip-plugin-codrag

The official CoDRAG plugin for Paperclip. Give every AI agent deep structural codebase knowledge, blast radius analysis, and semantic search via MCP.

Install

$ npx loaditout add MagneticAnomaly/paperclip-plugin-codrag

Platform-specific configuration:

.claude/settings.json
{
  "mcpServers": {
    "paperclip-plugin-codrag": {
      "command": "npx",
      "args": [
        "-y",
        "paperclip-plugin-codrag"
      ]
    }
  }
}

Add the config above to .claude/settings.json under the mcpServers key.

About

<p align="center"> </p>

@codrag/paperclip-plugin

> Give every Paperclip agent deep structural codebase knowledge.

CoDRAG indexes your codebase with embeddings, a structural graph, and epistemic analysis. This plugin makes that intelligence available to every agent in your Paperclip instance — no per-agent configuration needed.

The Problem

AI agents working on code operate blind. They grep files, read READMEs, and hope they stumble onto the right architecture. When they modify a file, they don't know what depends on it. When they search for code, they match keywords instead of meaning. When they finish a task, the next agent starts from scratch.

The Solution

CoDRAG pre-computes your codebase's structural graph — modules, dependencies, hub files, domain clusters — and serves it on demand. The Paperclip plugin registers 5 tools that any agent can call during their runs:

| Tool | What It Does | |------|-------------| | codrag:context | Structural overview — modules, hub files, atlas. Call at the start of every task. | | codrag:search | Semantic code search. Finds code by meaning, with structural trace expansion. | | codrag:impact | Blast radius analysis. See exactly what depends on a file before changing it. | | codrag:audit | Codebase health findings — tech debt, dead code, architecture issues. | | codrag:observe | Cross-session memory. Agents save observations for the next agent. |

Why This Is Novel

This is epistemic-first agent orchestration — instead of agents discovering codebase structure through trial and error, CoDRAG pre-computes it and serves it on demand:

  • Pre-computed structure — Module clusters, import chains, and hub files are already indexed
  • Role-scoped context — Backend agents see backend files. Frontend agents see frontend files
  • Impact-aware changes — Agents know the blast radius before modifying code
  • Persistent memory — Ob

Tags

agentic-aiagentsai-agentsai-agents-mcpcode-intelligencecodragdeveloper-toolsepistemic-aillm-toolsmcpmcp-serverpaperclippaperclip-pluginragsemantic-search

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Last updated15 days ago
Security: AREADME

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Risk Levelmedium
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Details

Sourcegithub-crawl
Last commit4/2/2026
View on GitHub→

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