SkillFoxx

BSL MCP Analyzer

An MCP analyzer for 1C BSL code: project-wide diagnostics, per-method complexity and refactor priorities, no Java

  • 4 ★ on the repository
  • Last commit
MCP server

Extended access

Why this level

  • Brings up a Docker stack that indexes a BSL project and serves MCP over HTTP with a token
  • Computes complexity and diagnostics without changing project code
All reasons and checks
Russian stack

axel-avb/mcp-bsl-analyzerAuthor:axel-avb

A similar tool with a larger community: BSL Analyzer, 117 ★ on the repository

Install

In your terminal, with SkillFoxx CLI

npx skillfoxx add mcp/bsl-mcp-analyzer

Detects the agents on your machine, shows the access level and pins the version.

Other ways to install

Access and checks

How we review

Extended accessThe tool runs code or makes network calls and only reads external data.

  • Brings up a Docker stack that indexes a BSL project and serves MCP over HTTP with a token
  • Computes complexity and diagnostics without changing project code

This is third-party code. Review the repository files before installing.

What it does

The server builds three new tools on top of the onec-hbk-bsl engine (pure Python, no Java or LSP bridge): complexity computes cyclomatic and cognitive complexity per method with thresholds; module_health merges complexity with security, performance and SQL diagnostics into a ranked top_targets refactor list; workspace_diagnostics aggregates 180-plus lint rules project-wide, grouped by rule, severity and file. It also inherits the underlying engine's symbol navigation, definitions, references, callers and callees, search, rename and formatting. The server runs in Docker behind nginx, one container per project, reachable via a Bearer token at /bsl/<project>/mcp.

Who it is for. For 1C developers and tech leads who need quantitative BSL complexity metrics and refactor priorities without installing Java tooling.

Good fit when

  • You need numeric cyclomatic and cognitive complexity metrics for BSL methods
  • You need a ranked refactor list instead of just a pile of warnings
  • You need project-wide lint diagnostics for 1C aggregated by file and rule

Not a fit when

  • You have no Linux host with Docker Engine 24+ to deploy on
  • You only need code browsing or search, not complexity and lint analysis
  • Your project is too small for a refactor ranking to matter

Example request

Show the top modules to refactor in this 1C project and the cognitive complexity of the worst method

MCP

Transport
http
Authentication
API key

Environment variables

BSL_MCP_TOKEN required, secret
Bearer token for accessing projects through nginx

Limitations

It only deploys in Docker on Linux, needs about 2 GB RAM and 2 CPUs per project, and indexing large configurations is CPU and disk heavy. The tool depends on the separate onec-hbk-bsl project as its engine. License is not machine-readable via the GitHub API, and the main README file is in English only.

How to disable. Stop the project container with docker compose down and remove the server from your MCP client config.

FAQ

Do I need Java?

No, the onec-hbk-bsl engine is pure Python and needs no Java or LSP bridge.

Can one server analyze several projects?

Each project gets its own bsl-<proj> container, all proxied by one nginx on different paths.

Discussion

No questions or reviews yet.

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README in short

The English README (with a Russian README.ru.md) explains that the project reuses the onec-hbk-bsl engine and adds three missing tools: numeric complexity, a module health summary and project-wide aggregation. It shows an nginx architecture with Bearer auth, a Docker Compose quick start, a curl check for 200 versus 401, and config examples for opencode and mcpServers-style clients like Cursor.

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