Desko77

MCP-сервер с семантическим поиском по шаблонам кода 1С (BSL). 2200+ шаблонов, CRUD веб-UI с Monaco Editor, ChromaDB + embeddings.

10
1
69% credibility
Found Mar 17, 2026 at 10 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

A searchable collection of over 2,200 1C BSL code templates with semantic search in Russian, a web interface for browsing and managing snippets, and tools for integration with AI coding assistants.

How It Works

1
📰 Discover the 1C code helper

You hear about a handy collection of over 2,000 ready-made code examples for 1C programming that understands your questions in plain words.

2
🚀 Start it up quickly

Download the files and launch the helper with simple instructions, like pressing a button, and it sets everything up on your computer.

3
🌐 Open the friendly web page

Go to a local web address in your browser to see a list of all the code snippets, easy to browse and search.

4
🔍 Search smartly

Type what you need in Russian words, like 'how to save data', and it finds the best matching code examples instantly by meaning, not just keywords.

5
Choose your way to use it
✏️
Manage in web

Add, edit, or delete your own code snippets right in the browser with a nice editor.

🤖
Link to AI

Tell your AI assistant like Claude where to find this helper so it can pull code examples during your work.

🎉 Code faster and easier

Now you have quick access to perfect code snippets, saving hours of writing from scratch and making your 1C projects a breeze.

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AI-Generated Review

What is 1c-templates-mcp?

This Python MCP server delivers semantic search over 2200+ BSL code templates for 1C developers. Query in Russian for hybrid vector/full-text matches via ChromaDB embeddings, pulling relevant snippets instantly. Get a full CRUD web UI with Monaco editor for BSL syntax, plus six MCP tools (search, list, get/add/update/delete) accessible at POST /mcp—Docker compose spins it up in seconds.

Why is it gaining traction?

It packs 2200+ ready templates tuned for BSL context, beating generic Copilot suggestions in MCP github copilot vscode or intellij setups. Web CRUD beats CLI fiddling, with Monaco editor for live edits. Flexible embeddings (OpenAI API or local) make it plug into Claude Code or n8n flows without hassle.

Who should use this?

1C devs grinding BSL boilerplate in VSCode or IntelliJ via MCP github copilot. Teams tracking mcp github issues or managing repos with npx/python/typescript hybrids needing quick template CRUD. Project managers automating BSL snippets in n8n or server lists.

Verdict

Worth a Docker test for BSL-heavy shops chasing MCP github copilot intellij gains—docs shine, UI delivers. But 10 stars and 0.699999988079071% credibility scream early days; no tests visible, so prototype only.

(198 words)

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