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mcp-1c

Connector Setup & Config Poor
Works inClaude Code Claude Cowork Claude Chat
Poor Scanned — metadata only

Reduces 1С:Enterprise development time by enabling AI-assisted code generation directly from configuration context, lowering defect risk and accelerating leg…

MCP server for 1С:Enterprise — AI assistant sees your configuration and generates accurate BSL code. One binary, zero dependencies, 9 tools.

190 starsMIT (commercial OK)FreeNo code needed
Below standard — Significant caveats apply. Not recommended without careful review of the security and evaluation sections.

Reduces 1С:Enterprise development time by enabling AI-assisted code generation directly from configuration context, lowering defect risk and accelerating legacy system modernization for teams managing Russian ERP deployments.

1С:Enterprise developers and system integrators building or maintaining ERP configurations requiring rapid BSL code generation.

Claude Code Claude Cowork Claude Chat

https://github.com/feenlace/mcp-1c

By feenlace

How to Get It

Option 1: Claude Desktop AppOpen the Customize panel in the sidebar → browse connectors → search and add. Works in Claude Code, Claude Cowork, and Claude Chat.
Option 2: Paste into Claude CodeCopy the command below and paste it into a Claude Code conversation. Claude will run it for you.
Command
Download the mcp-1c binary for your OS from https://github.com/feenlace/mcp-1c/releases, then run: mcp-1c --install "<path-to-1C-infobase>"

Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.

First thing to try

Once it’s connected, paste this into Claude:

Help me generate BSL code snippets from my 1С configuration structure automatically
Prerequisites1C:Enterprise platform 8.3.10+ and an infobase with an HTTP service published (Apache/IIS recommended; the /HTTPPort quick-start flag is Windows-only; 1C HTTP services are not supported on macOS)CostFree

Trust Signals Auto-scanned

Stars190Contributors4Last updated2026-08-10LicenseMIT (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-08-11 · scanner vattempted-no-data

Data & Access

Data processingPrompts sent to Anthropic API. Enterprise/Team plans exclude training.

Community Pulse New

No community discussions found yet. This doesn't mean the tool isn't good — it may be new or serve a niche use case.

Reviewer notes

Auto-scanned review. These are observations, not a security certification.

Scored from trust signals (evidence-eval-v1): 125 GitHub stars; contributors unknown; last commit 0d ago; license no license.

Things to check

  • Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.

How to evaluate tools before deploying →

Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.

Evaluation

Ease of Use
1/5
Versatility
3/5
Reliability
3/5
Security
3/5
Overall score2.30 / 5.00 PoorEvaluatedJun 2026
Scored from trust signals (evidence-eval-v1): 125 GitHub stars; contributors unknown; last commit 0d ago; license no license.

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