What runtime and dependencies does AI Connect MCP Server require?
It requires Node.js and TypeScript. It uses the Model Context Protocol by Anthropic, Zod for schema validation, and the AI Connect API for integration with the Jobs system.
@aiconnect-cloud
基本信息
An MCP (Model Context Protocol) server that allows AI agents to query and manage jobs in the Agent Jobs system of the AI Connect platform.
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"agentjobs-mcp": {
"command": "npx",
"args": [
"@aiconnect/agentjobs-mcp",
"--help"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。
AI Connect MCP Server is a Model Context Protocol server that lets AI agents query and manage jobs in the AI Connect platform. It provides tools for listing, creating, canceling, and monitoring asynchronous tasks across channels like Slack and WhatsApp, with support for scheduled execution, automatic retries, and timeout handling.
Run directly via npx: npx @aiconnect/agentjobs-mcp after setting the required environment variable AICONNECT_API_KEY. For Claude Desktop, add the server configuration to claude_desktop_config.json. The server uses stdio transport and starts with the default API URL https://api.aiconnect.cloud/api/v0 unless overridden.
It requires Node.js and TypeScript. It uses the Model Context Protocol by Anthropic, Zod for schema validation, and the AI Connect API for integration with the Jobs system.
You must provide an `AICONNECT_API_KEY` environment variable. Without it, the tools return helpful error messages. The server also accepts optional `DEFAULT_ORG_ID` and `AICONNECT_API_URL` variables with sensible defaults.
The server communicates via stdio transport. It is designed to work with MCP clients like Claude Desktop by adding it to the `mcpServers` configuration.
Yes. It comes with default values for the organization ID and API URL, so only an API key must be provided. If no environment variables are set, it uses `"aiconnect"` for the default org and `https://api.aiconnect.cloud/api/v0` for the API URL.
Yes. The `create_job` tool accepts an optional `scheduled_at` parameter for future execution and a `delay` parameter for random delay in minutes.

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