跳过安装。2 分钟内即可运行。
在 cloud.anythingmcp.com 开始免费试用，一键添加 Matrix42，然后将你的 AI 客户端（Claude、ChatGPT、Copilot 或 Cursor）指向生成的 MCP 端点。无需 Docker，无需 git clone，无需任何工程经验。
Summary
Matrix42 Enterprise Service Management: query any configuration item, incident, service request, asset or user with Matrix42's fragment query API. Bearer token minted from an API token against your own instance.
试试这样问
Matrix42 的示例提示
点击任意提示即可复制，然后粘贴到 Claude、ChatGPT、Cursor、Gemini、Copilot 或 OpenClaw 中，在该连接器上运行。
Claude 是 AI，可能会出错。请核对回答。
💡 无需安装? 直接使用 cloud.anythingmcp.com。 登录、点击 Connectors → Matrix42、粘贴凭证、生成 MCP API key — 完成。无 Docker、无
git clone、无本地服务器。
Matrix42 + Gemini
Matrix42 Enterprise Service Management: query any configuration item, incident, service request, asset or user with Matrix42's fragment query API. Bearer token minted from an API token against your own instance.
前提条件
完整的设置说明已内置在连接器中 (在 store 中选择连接器时可见)。所需环境变量:
MATRIX42_URL, MATRIX42_API_TOKEN
步骤 1 — 获取凭证
Setup
- In Matrix42 open Administration → Integration → API Tokens and create a token for a service account with the roles the agent needs. Matrix42 applies role-based access on top of the API, so a restricted account sees fewer fragments.
- Set
MATRIX42_URLto your instance root (e.g.https://esm.example.com/M42Services, no trailing slash) andMATRIX42_API_TOKENto the token. - The adapter exchanges that token for a short-lived bearer at
/api/ApiToken/Tokenand refreshes it automatically. AnythingMCP stores the bearer encrypted inconnector_auth_cache.
…(continued in the in-app connector instructions)
步骤 2 — 安装 adapter
curl -fsSL https://raw.githubusercontent.com/HelpCode-ai/anythingmcp/main/docker-compose.quickstart.yml -o docker-compose.yml
printf 'JWT_SECRET=%s\nENCRYPTION_KEY=%s\n' "$(openssl rand -hex 32)" "$(openssl rand -hex 32)" > .env
docker compose up -d
步骤 3 — 在 Gemini 中添加连接器
Gemini CLI 从 ~/.gemini/settings.json (Windows: %APPDATA%\gemini\settings.json) 读取 MCP 服务器。添加:
{
"mcpServers": {
"anythingmcp": {
"httpUrl": "https://cloud.anythingmcp.com/mcp",
"headers": { "Authorization": "Bearer YOUR_MCP_API_KEY" }
}
}
}
- 从 AnythingMCP 获取你的 MCP API key。
- 保存文件并重启
gemini。 - 在 Gemini CLI 中运行
/mcp—Matrix42应显示为可用。 - Vertex AI Studio: 将
https://cloud.anythingmcp.com/mcp传入请求的tools数组,使用相同的 Bearer 头。
可用工具
| Tool | What it does |
|---|---|
matrix42_query_fragments | Query any Matrix42 fragment by name with a column list and a SQL-flavoured where clause |
matrix42_get_fragment_schema | Read the column definitions of one fragment: the real column names, their types and their relations |
matrix42_query_incidents | Query incidents with a where clause over the incident fragment: state, priority, category, reported date and the affected user |
matrix42_query_service_requests | Query service requests with a where clause: their state, requested service, requester and fulfilment dates |
matrix42_query_assets | Query the asset base: hardware and software configuration items with their name, type, serial number, status and assigned user |
matrix42_query_users | Query the user base with their display name, e-mail, department and location |
matrix42_get_object | Read one configuration item by its object id, returning the named fragments attached to it |
FAQ
Gemini 1.5 Pro 或 2.x 支持 MCP 吗? 支持 — Gemini CLI ≥ 0.4 与 Vertex AI tools API 均接受带 Bearer 头的 MCP httpUrl 连接器。
下一步
这份指南对你有帮助吗?
