ROCTUP

ROCTUP / 1c-mcp-toolkit

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MCP и REST API сервер для получения метаданных и данных из базы 1С

1c mcp
59
5
100% credibility
Found Feb 12, 2026 at 23 stars 3x -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
1C Enterprise
AI Summary

A connector that enables AI assistants to safely query and analyze data in 1C:Enterprise databases using natural language.

How It Works

1
📰 Discover the helper

You hear about a handy tool that lets AI chat with your 1C business data like a smart coworker.

2
🚀 Start it up easily

Download the package and launch the connector on your computer with a simple button press.

3
📥 Add to your 1C

Open your 1C program, load the small add-on file, and enter the connector's web address.

4
🔗 Link your AI buddy

Tell your AI assistant like Claude where to find the connector, and it connects instantly.

5
💬 Ask away

Chat with your AI about customers, sales, or inventory, and it pulls live info from 1C.

🎉 Unlock insights

Your AI delivers quick reports, finds issues, and suggests fixes using your real business data.

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AI-Generated Review

What is 1c-mcp-toolkit?

This Python proxy server lets AI agents like Claude Desktop or GitHub Copilot in VSCode/IntelliJ query 1C Enterprise databases via the MCP protocol or a REST API—no COM connections, no config changes, no publishing needed. Pair it with a simple external 1C processing file (.epf) loaded in any 1C client (8.2.13+ or 8.3.25+), and you get tools for executing queries, code snippets, fetching metadata, event logs, object links, references, and access rights. Docker Compose deploys it in seconds on port 6003.

Why is it gaining traction?

It bridges the MCP gap for 1C Enterprise without hacks, supporting streamable HTTP/SSE transports and channel isolation for dev/prod separation on one server. REST API mirrors MCP tools exactly (e.g., POST /api/execute_query), with auto-encoding for Windows clients and TOON format slashing LLM token use by 30-60%. Dangerous code gets blocked or approval-gated, keeping things safe.

Who should use this?

1C developers tweaking configs with GitHub Copilot in IntelliJ/VSCode, analysts pulling data via n8n/Python scripts over REST, or project managers auditing event logs/references across envs. Ideal for teams dodging COM fragility while feeding LLMs real 1C metadata.

Verdict

Early days at 12 stars and 1.0% credibility—test coverage unknown, but thorough READMEs, Docker setup, and bilingual docs lower the risk. Grab it if you're wiring AI into 1C; skip for production without your own 1C client validation.

(198 words)

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