# 1C MCP Server

> Use this tool when you need to integrate AI agents with 1C:Enterprise databases, enabling seamless metadata retrieval, configuration analysis, and code generation. It solves problems of data accessibility and automation by providing a bridge between AI and 1C:Enterprise systems through the MCP protocol. This tool is ideal for use cases requiring natural language-based interactions with 1C:Enterprise databases, accepting AI-generated queries as input and producing relevant data and code as output.

Canonical page: https://skillsregistry.net/skills/iflow-mcp-alexmiawat-1c-mcp-server-own  
JSON: https://api.skillsregistry.net/v1/skills/iflow-mcp-alexmiawat-1c-mcp-server-own

## Description

Acts as a bridge between AI agents (Claude, Cursor) and 1C:Enterprise databases, enabling metadata retrieval, configuration analysis, and code generation through natural language using the MCP protocol.

## Trust

- **Trust score (0–1):** 0.63
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/gv40qze53m)
- **Repository:** <https://github.com/iflow-mcp/alexmiawat-1c_mcp_server_own>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "iflow-mcp-alexmiawat-1c-mcp-server-own"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/iflow-mcp-alexmiawat-1c-mcp-server-own` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/iflow-mcp-alexmiawat-1c-mcp-server-own/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt