広告掲載
MCP.so
ログイン

Pearl MCP Server

@Pearl-com

リポジトリホームページ

基本情報

カテゴリ

その他

ライセンス

Apache-2.0

トランスポート

stdio

作者

Pearl-com

Pearl MCP Server について

A Model Context Protocol (MCP) server implementation that exposes Pearl's AI and Expert services through a standardized interface

#mcp#human-in-the-loop#human-verification#expert-advisor#agentic-ai#mcp-server

Pearl MCP Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "pearl_mcp_server": {
      "command": "python",
      "args": [
        "-m",
        "venv",
        ".venv"
      ]
    }
  }
}

Pearl MCP Server のツール

5

assisted human expert support

Same as ask_pearl_ai

Same as ask_pearl_ai

`session_id`

`session_id`

概要

What is Pearl MCP Server?

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.

How to use Pearl MCP Server?

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.

Key features of Pearl MCP Server

  • Support for both stdio and SSE transports
  • Integration with Pearl API for AI and expert assistance
  • Session management for continuous conversations
  • Two interaction modes: AI‑Expert and direct Expert
  • Conversation history tracking and stateful session management
  • Automatic routing of queries to the most relevant expert category

Use cases of Pearl MCP Server

  • Getting AI‑assisted human expert support for complex or sensitive topics
  • Obtaining direct human expert advice in medicine, law, finance, technology, education, and lifestyle
  • Checking the status and history of an ongoing expert conversation
  • Building custom Python clients that leverage Pearl’s AI and expert services via MCP

よくある質問

1

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.

2

How do I obtain a Pearl API key?

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.

3

What are the prerequisites for running the server locally?

Python 3.12 or higher, a Pearl API key, and either the `pip` or `uv` package manager.

4

Can I use the server without installing it locally?

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.

5

What tools are available on this server?

The server provides four tools: `ask_pearl_expert` (AI‑assisted human expert), `ask_expert` (direct human expert), `get_conversation_status`, and `get_conversation_history`.

コメント

「その他」の他のコンテンツ

Handl

Handl speaks the Model Context Protocol. Your whole billing operation — projects, invoices, clients, reports, approvals — as tools any AI assistant can call, inside your autonomy rules.

Maestro

mobile-dev-inc

Painless E2E Automation for Mobile and Web

14.8K

ICSS

chokcoco

不止于 CSS

20.7K

Codelf

unbug

A search tool helps dev to solve the naming things problem.

14.2K

DeepMark

DeepMark helps teachers deliver rapid, consistent marking with meaningful feedback for every student — in a fraction of the time. What once took a week, now takes one free period.

広告掲載