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1c-queries

Execute 1C:Enterprise queries over HTTP and return TSV data.

57|7|Updated Jan 21, 2026
Search Tags:#validation#queries#enterprise#data-analysis#http#1c#tsv
One-click install
npx skills add https://github.com/FSerg/1c-llm-requests --skill 1c-queries
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: 1c-queries
Source: https://github.com/FSerg/1c-llm-requests/tree/main/.claude/skills/1c-queries
Command: npx skills add https://github.com/FSerg/1c-llm-requests --skill 1c-queries

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python, curl, and includes scripts (resource) components.

What problem does it solve?

Automates executing 1C:Enterprise queries over HTTP to fetch data from a 1C database and returns results in TSV format, enabling AI-driven analysis and reporting without manual scripting.

Core Features & Use Cases

  • Execute 1C:Enterprise queries over HTTP and receive compact TSV data suitable for AI processing.
  • Validate and format query results, with guidance on 1C syntax and safety checks for metadata-driven workflows.
  • Use cases include data analysis, data validation, and reporting across 1C-connected databases, including MCP metadata workflows.

Quick Start

Configure the environment and run a sample query using the provided scripts or curl to fetch data from your 1C HTTP service.

Frequently Asked Questions about 1c-queries

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I execute 1C:Enterprise queries over HTTP for data analysis?▼

To execute 1C:Enterprise queries over HTTP, you configure a running HTTP service with endpoint and credentials in an environment file, then run queries using provided scripts or curl to fetch database data in TSV format.

What format does the 1C HTTP query output use for AI processing?▼

The 1C HTTP query output uses TSV format, which provides compact data suitable for AI-driven analysis and reporting without requiring manual scripting or format conversion.

Do I need a specific environment setup to run 1C queries via HTTP?▼

Yes, running 1C queries via HTTP requires a running HTTP service, a configured environment file containing endpoint and credentials, and Python or curl installed to execute the provided scripts.

Can I use 1C HTTP queries for data validation and reporting tasks?▼

Yes, 1C HTTP queries support data validation and reporting tasks across 1C environments, including MCP-enabled metadata workflows, by retrieving database data with syntax guidance and safety checks.

What is the best way to integrate 1C database queries into an AI workflow?▼

Integrate 1C database queries into an AI workflow by executing queries over HTTP to retrieve TSV-formatted results, enabling automated data analysis and validation without manual scripting.

Are there limitations when using 1C HTTP queries for metadata workflows?▼

1C HTTP queries require adherence to 1C query syntax and TSV output conventions, and depend on a properly configured HTTP service and environment file for safe metadata-driven workflows.

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