What transports does Pearl MCP Server support?
It supports both stdio (default) and SSE transports. SSE can be selected with the `--transport sse` flag and a custom port.
@Pearl-com
基本信息
A Model Context Protocol (MCP) server implementation that exposes Pearl's AI and Expert services through a standardized interface
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"pearl_mcp_server": {
"command": "python",
"args": [
"-m",
"venv",
".venv"
]
}
}
}assisted human expert support
Same as ask_pearl_ai
Same as ask_pearl_ai
`session_id`
`session_id`
A Model Context Protocol (MCP) server implementation that exposes Pearl’s AI and Expert services through a standardized interface. It allows MCP clients such as Claude Desktop, Cursor, and other MCP‑compatible applications to interact with Pearl’s advanced AI assistants and human experts.
Install Python 3.12 or higher, obtain a Pearl API key from the Pearl contact page, clone the repository, create a virtual environment, install dependencies with pip install -e ., and set the PEARL_API_KEY environment variable in a .env file. Run the server locally with pearl-mcp-server --api-key your-api-key (stdio by default) or with --transport sse. Alternatively, connect directly to the hosted server at https://mcp.pearl.com/mcp without local installation. Configure your MCP client (e.g., Claude Desktop, Cursor, Windsurf) with the appropriate JSON settings for stdio or use mcp-remote as a bridge for remote connections.
It supports both stdio (default) and SSE transports. SSE can be selected with the `--transport sse` flag and a custom port.
Visit the [Pearl Contact Page](https://www.pearl.com/contact) and request an API key for MCP server integration. Keep your API key secure and never commit it to version control.
Python 3.12 or higher, a Pearl API key, and either the `pip` or `uv` package manager.
Yes. Pearl provides a hosted MCP server at `https://mcp.pearl.com/mcp` that can be used directly with any MCP client, optionally via the `mcp-remote` package.
The server provides four tools: `ask_pearl_expert` (AI‑assisted human expert), `ask_expert` (direct human expert), `get_conversation_status`, and `get_conversation_history`.
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