What is rag-code-mcp copilot-instructions.md?

Rules for GitHub Copilot when working on RagCode MCP, a server that searches local source code by meaning. They require using its code-search tools instead of guessing how the code works.

Use them when locating code, understanding functions, choosing the current CodeChunk data structure, or working with Go, PHP, Python, and HTML analysis.

They help the assistant base answers and edits on the actual indexed code, including the correct workspace and implementation details.

How doITmagic/rag-code-mcp configures GitHub Copilot

Reuse

Borrowing it

Nothing to install: this file belongs to doITmagic/rag-code-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/doITmagic/rag-code-mcp/main/.github/copilot-instructions.md

Clone the repo

git clone --depth 1 https://github.com/doITmagic/rag-code-mcp

Made for: GitHub Copilot.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/instructions/doitmagic/rag-code-mcp/copilot-instructions/github.svg)](https://agentmods.dev/instructions/doitmagic/rag-code-mcp/copilot-instructions)

Your own site

<a href="https://agentmods.dev/instructions/doitmagic/rag-code-mcp/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/doitmagic/rag-code-mcp/copilot-instructions/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/instructions/doitmagic/rag-code-mcp/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/doitmagic/rag-code-mcp/copilot-instructions.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 568 This file is loaded in full into every session.

When invoked 568 The same file — it is already loaded in full.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.00568	$0.00568
Opus 5.5	$0.00227	$0.00227
Sonnet 5.5	$0.00114	$0.00114
Haiku 4.5	$0.00057	$0.00057

Measured 2mo ago against content hash 7b4803c02b08, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

rag-code-mcp copilot-instructions.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.github/copilot-instructions.md · 34 lines

How it starts

The opening of the file, as written. The whole thing — 34 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Copilot Instructions - RagCode MCP

⚖️ The Golden Rule

For any information about the code (location, structure, logic, or usage), you MUST use RagCode MCP tools. Never guess code details from memory; always search the local index first.

Project Overview

RagCode is a Model Context Protocol (MCP) server that provides semantic code search (RAG) for local codebases using Ollama (embeddings) and Qdrant (vector storage). It supports multiple languages through a pluggable analyzer architecture.

Architecture & Patterns

Core Components:
- Indexer: Orchestrates analysis, embedding, and storage.
- PathAnalyzer: Interface for language-specific AST analysis (Go, PHP/Laravel, Python, HTML).
- CodeChunk: The canonical v2 data structure for all indexed code symbols (functions, types, files).
- Workspace.Manager: Handles multi-workspace multi-language isolation via language-specific Qdrant collections.
Data Flow: Tools -> Workspace.Manager.DetectWorkspace -> Language Detection -> Qdrant Collection (ragcode-{id}-{lang}) -> Search Results.
Convention: The project is migrating from APIChunk to CodeChunk. Always use CodeChunk for new features.

Developer Workflows

Build/Install: Use go run ./cmd/install/main.go to build binaries and configure local IDEs.
Runtime Binaries: Installed to ~/.local/share/ragcode/bin/ by default.
Testing: Use standard go test ./.... Use t.TempDir() for workspace/filesystem isolation.
Logging: MCP server logs to mcp.log next to the executable. Check MCP_LOG_LEVEL=debug for issues.

MCP Tools Usage

search_code: Use as the primary entry point for exploration. Crucial: Always provide the file_path parameter as it's used for workspace and language detection.
index_workspace: Triggered automatically on first query per workspace, but can be manually invoked for major changes.

Integration Points

Ollama: Requires phi3:medium (reasoning) and mxbai-embed-large (embeddings) by default.
Qdrant: Runs in Docker as ragcode-qdrant on port 6333.

Read the full file on GitHub · 34 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

2mo ago First seen · 34 lines · 568 tokens per session scan A 7b4803c02b08

Subscribe to this mod's changes

rag-code-mcp copilot-instructions.md is an instructions file published in the GitHub repository doITmagic/rag-code-mcp (55 stars, last pushed 8d ago), licensed MIT. It adds 568 tokens to every session, about $0.0023 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Building agents Data and AI Go RAG and vectors claude-desktop code-navigation cursor-ide go html

rag-code-mcp copilot-instructions.md next to 6 instructions from other repositories
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rag-code-mcp: Instructions file for GitHub Copilot