Borrowing it
Nothing to install: this file belongs to andrea9293/mcp-documentation-server. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/andrea9293/mcp-documentation-server/main/.github/copilot-instructions.mdgit clone --depth 1 https://github.com/andrea9293/mcp-documentation-serverWrote 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.
[](https://agentmods.dev/instructions/andrea9293/mcp-documentation-server/copilot-instructions)<a href="https://agentmods.dev/instructions/andrea9293/mcp-documentation-server/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/andrea9293/mcp-documentation-server/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.
<a href="https://agentmods.dev/instructions/andrea9293/mcp-documentation-server/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/andrea9293/mcp-documentation-server/copilot-instructions.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.01147 | $0.01147 |
| Opus 5.5 | $0.00459 | $0.00459 |
| Sonnet 5.5 | $0.00229 | $0.00229 |
| Haiku 4.5 | $0.00115 | $0.00115 |
Grade A, and why
mcp-documentation-server 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.
How it starts
The opening of the file, as written. The whole thing — 119 lines — stays where its author put it; the contents beside it link to each section on GitHub.
MCP Documentation Server - AI Coding Agent Instructions
Architecture Overview
This is a TypeScript-based Model Context Protocol (MCP) server providing document management and semantic search capabilities using local AI embeddings. Key architectural patterns:
- FastMCP Framework: Uses
fastmcplibrary for MCP server implementation with Zod schema validation - Modular Design: Core functionality split across
DocumentManager,EmbeddingProvider, and utility modules - Local-First Storage: All data stored in
~/.mcp-documentation-server/(no database required) - Lazy Loading: Embedding models load on-demand to avoid startup delays
- Chunk-Based Search: Documents split into chunks with embeddings for granular semantic search
Core Components
Server Entry Point (src/server.ts)
- Main FastMCP server with 8 MCP tools (add_document, search_documents, etc.)
- Uses
#!/usr/bin/env nodeshebang - this file becomes the CLI executable - Environment configuration via
dotenv(loads.envfiles) - Singleton
DocumentManagerinstance with lazy initialization
Document Management (src/document-manager.ts logic in server.ts)
- Chunking Strategy: Text split into ~500-character chunks with overlap for better search
- ID Generation: Uses timestamp + random suffix pattern (see
generateId()) - Storage: JSON files per document in
data/directory - File Processing: Supports .txt, .md, .pdf via uploads folder workflow
Embedding Providers (src/embedding-provider.ts)
- Primary:
TransformersEmbeddingProviderusing@xenova/transformers(local ML) - Fallback:
SimpleEmbeddingProvider(hash-based, no ML dependencies) - Model Selection: Via
MCP_EMBEDDING_MODELenv var (default:Xenova/all-MiniLM-L6-v2) - Critical: Model downloads (~420MB) on first use - implement timeouts
Development Workflows
Build & Run Commands
npm run build # TypeScript compilation + executable permissions (shx chmod)
npm start # Direct tsx execution (development)
npm run dev # FastMCP dev mode with hot reload
npm run inspect # FastMCP web UI for tool testing
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 · 119 lines · 1,147 tokens per session scan A df0d2a0590ac
mcp-documentation-server copilot-instructions.md is an instructions file published in the GitHub repository andrea9293/mcp-documentation-server (344 stars, last pushed 2mo ago), licensed MIT. It adds 1,147 tokens to every session, about $0.0046 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.
mcp-documentation-server copilot-instructions.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| mcp-documentation-server copilot-instructions.mdandrea9293/mcp-documentation-server | Instructions file | 344 | 2mo ago | MIT | A | 1,147 | GitHub Copilot |
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