Borrowing it
Nothing to install: this file belongs to barateza/mcp-plesk-dev-docs. 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/barateza/mcp-plesk-dev-docs/main/.github/copilot-instructions.mdgit clone --depth 1 https://github.com/barateza/mcp-plesk-dev-docsWrote 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/barateza/mcp-plesk-dev-docs/copilot-instructions)<a href="https://agentmods.dev/instructions/barateza/mcp-plesk-dev-docs/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/barateza/mcp-plesk-dev-docs/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/barateza/mcp-plesk-dev-docs/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/barateza/mcp-plesk-dev-docs/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 | $0.02967 | $0.02967 |
| Opus 5.5 | $0.01187 | $0.01187 |
| Sonnet 5.5 | $0.00593 | $0.00593 |
| Haiku 4.5 | $0.00297 | $0.00297 |
Grade A, and why
mcp-plesk-dev-docs 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 1mo 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 — 281 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Plesk Unified MCP Server - AI Agent Instructions
Project Overview
Plesk Unified is Model Context Protocol (MCP) server that indexes and retrieves Plesk docs via semantic search w/ vector embeddings and intelligent reranking. It aggregates docs from multiple sources (API, CLI, Admin Guide, PHP stubs, JS SDK) into unified knowledge base powered by LanceDB.
Architecture & Components
Core Stack
- Server Framework: FastMCP (Model Context Protocol)
- Embeddings: BAAI/bge-m3 (multilingual, bidirectional)
- Reranking: BAAI/bge-reranker-base (cross-encoder for result ranking)
- Vector DB: LanceDB w/ Apache Arrow backend
- Parsing: BeautifulSoup4 for HTML, raw text for PHP/JS
Data Flow
- Sources → Multiple Plesk docs sources (5 categories) w/ optional Git auto-cloning
- Parsing → Category-specific parsers extract text, title, breadcrumb hierarchy
- Chunking → Variable chunk sizes by type (HTML: 3000, PHP: 6000, JS: 5000 chars)
- Embedding → BAAI/bge-m3 generates vectors (auto-downloader model on first run)
- Storage → LanceDB table w/
UnifiedSchema(vector, text, title, filename, category, breadcrumb) - Retrieval → Query search → rerank → top-5 results w/ relevance scores
Key Files
- server.py - Main entry point; contains all tools, parsers, indexing logic
- main.py - Placeholder entrypoint
- pyproject.toml - Dependencies (fastmcp, lancedb, sentence-transformers)
Development Workflows
Running the Server
source .venv/bin/activate
python server.py
Server initializes on startup: downloads missing sources, builds embeddings, starts MCP server. Models auto-download (~2GB total) on first run.
Adding New Documentation Sources
Edit SOURCES list in server.py. Structure:
{"path": KB_DIR / "category", "cat": "category", "type": "html|php|js", "repo_url": "optional git url"}
- type determines parser and chunk size
- repo_url triggers automatic Git cloning if source missing
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.
- 1mo ago First seen · 281 lines · 2,967 tokens per session scan A cf9788c0a73a
mcp-plesk-dev-docs copilot-instructions.md is an instructions file published in the GitHub repository barateza/mcp-plesk-dev-docs (2 stars, last pushed 2mo ago), licensed MIT. It adds 2,967 tokens to every session, about $0.0119 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 2026-08-31.
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