# Enterprise Architecture MCP Server

> Enterprise Architecture MCP Server — kimji9663-mcp-enterprise-architecture-project. Use this tool when you need to interact with various enterprise tools using natural language, enabling seamless integration and automation of tasks across files, databases, GitHub, Slack, and other platforms. It solves problems of manual data transfer and workflow inefficiencies by providing a unified interface for multiple tools. With natural language inputs and outputs, it streamlines workflows and enhances productivity in enterprise environments.

Canonical page: https://skillsregistry.net/skills/kimji9663-mcp-enterprise-architecture-project  
JSON: https://api.skillsregistry.net/v1/skills/kimji9663-mcp-enterprise-architecture-project

## Description

Enables natural language interaction with enterprise tools including file, database, GitHub, Slack, browser, calendar, email, vector search, and Python calculation through OpenAI and MCP Client.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/jz6ay081se)
- **Repository:** <https://github.com/kimji9663/mcp_enterprise_architecture_project>

## 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": "kimji9663-mcp-enterprise-architecture-project"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/kimji9663-mcp-enterprise-architecture-project` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/kimji9663-mcp-enterprise-architecture-project/pull`

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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