What runtime dependencies does it require?
Node.js 18.0.0 or higher and a valid Intercom API token with account-level API access.
@raoulbia-ai
基本信息
暂无概览
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"mcp-server-for-intercom": {
"command": "docker",
"args": [
"build",
"-t",
"mcp-intercom",
"."
]
}
}
}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。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
An MCP-compliant server that enables AI assistants to access and analyze customer support data from Intercom. It allows searching conversations and tickets with advanced filtering by customer, status, date range, and keywords.
Install the package globally via npm (npm install -g mcp-server-for-intercom) or use Docker. Set the INTERCOM_ACCESS_TOKEN environment variable with your Intercom API token, then run intercom-mcp. Configure it as an MCP server in Claude Desktop by adding the intercom-mcp entry to claude_desktop_config.json. The server exposes four tools: list_conversations, search_conversations_by_customer, search_tickets_by_status, and search_tickets_by_customer.
Node.js 18.0.0 or higher and a valid Intercom API token with account-level API access.
Authentication is configured via the `INTERCOM_ACCESS_TOKEN` environment variable set to your Intercom API token.
It searches and retrieves conversations and tickets from your Intercom workspace using Intercom's search API.
Yes, the `list_conversations` tool requires a date range not exceeding 7 days.
No. This is an independent integration and is not affiliated with, officially connected to, or endorsed by Intercom Inc.
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