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Pearl

v1.0.0•Coding Agents•stable

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

agentic-aiexpert-advisorhuman-in-the-loophuman-verificationmcp
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What is Pearl?

Pearl is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to model context protocol (mcp) server implementation that exposes pearl's ai and expert services through a standardized interface

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

This server falls under the Coding Agents category on MCPgee, the world's largest MCP server directory with 33,000+ servers.

Features

  • A Model Context Protocol (MCP) server implementation that ex

Use Cases

Access Pearl's AI and expert advisor services through MCP.
Get human-in-the-loop verification for critical tasks.
Pearl-com

Maintainer

LicenseApache-2.0
Languagepython
Versionv1.0.0
UpdatedMar 3, 2026
Statushealthy
Maintenanceactive

Works with

ClaudeOpenAIwindowsmacoslinux
View SourceBrowse All Servers

Installation

Manual Installation

npx pearl-mcp-server

Configuration

Configuration Details

Config File

claude_desktop_config.json

Performance

Response Metrics

Response Time< 200ms
ThroughputMedium

Resource Usage

Memory UsageLow
CPU UsageLow

How to Set Up and Use Pearl

Pearl MCP Server exposes Pearl's AI-assisted human expert advisory services through the Model Context Protocol, enabling AI assistants to escalate complex questions to real human experts and retrieve verified answers. It supports both local stdio transport and a remote SSE connection to Pearl's managed cloud endpoint at mcp.pearl.com.

Prerequisites

  • Python 3.10 or later
  • A Pearl API key obtained by registering at pearl.com
  • pip and venv for local installation
  • An MCP-compatible client such as Claude Desktop or Cursor
  • mcp-remote npm package if using the remote SSE transport option
1

Clone the repository and create a virtual environment

Download the Pearl MCP server source and set up an isolated Python environment.

git clone https://github.com/Pearl-com/pearl_mcp_server.git
cd pearl_mcp_server
python -m venv .venv
source .venv/bin/activate  # Windows: .venv\Scripts\activate
2

Install the package

Install the Pearl MCP server in editable mode within your virtual environment.

pip install -e .
3

Set your Pearl API key

Create a .env file inside the src directory containing your Pearl API key. Never commit this file to version control.

echo 'PEARL_API_KEY=your-api-key-here' > src/.env
4

Configure your MCP client

Add the Pearl server to your claude_desktop_config.json. Choose between the local stdio transport (using your local installation) or the remote SSE transport via Pearl's managed endpoint.

5

Test the expert connection

Ask Claude to call ask_pearl_expert with a test question to confirm the API key is valid and the expert service is reachable.

Pearl Examples

Client configuration

Two configuration options: local stdio using the installed pearl-mcp-server binary, or remote SSE via Pearl's cloud endpoint.

{
  "mcpServers": {
    "pearl-mcp-server": {
      "type": "stdio",
      "command": "pearl-mcp-server",
      "args": ["--api-key", "your-api-key"],
      "env": {
        "PEARL_API_KEY": "your-api-key"
      }
    }
  }
}

Prompts to try

Use these with Claude once the Pearl server is connected to escalate questions to human experts.

- "Ask a Pearl expert: what are the tax implications of converting a sole proprietorship to an LLC in California?"
- "Get a human expert opinion on the legal risks of this contract clause: [paste clause]"
- "Check the status of my Pearl expert session using session ID sess_abc123"
- "Retrieve the conversation history for my Pearl session sess_abc123"

Troubleshooting Pearl

API key invalid or 401 error when calling ask_pearl_expert

Verify that PEARL_API_KEY is set correctly both in src/.env and in the env block of your MCP client config. Keys are obtained from the Pearl registration page and may take a few minutes to activate after signup.

pearl-mcp-server command not found after installation

Ensure your virtual environment is activated before running the install ('source .venv/bin/activate'). The pearl-mcp-server binary is installed into the venv's bin directory. In your MCP client config, use the full absolute path to the binary: /path/to/pearl_mcp_server/.venv/bin/pearl-mcp-server.

Expert response is delayed or get_conversation_status shows pending

Pearl's human expert responses are not instantaneous. Use get_conversation_status with your session_id to poll the status, and get_conversation_history to retrieve the response once it becomes available. Response times vary based on expert availability and question complexity.

Frequently Asked Questions about Pearl

What is Pearl?

Pearl is a Model Context Protocol (MCP) server that model context protocol (mcp) server implementation that exposes pearl's ai and expert services through a standardized interface It connects AI assistants to external tools and data sources through a standardized interface.

How do I install Pearl?

Follow the installation instructions on the Pearl GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.

Which AI clients work with Pearl?

Pearl works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.

Is Pearl free to use?

Yes, Pearl is open source and available under the Apache-2.0 license. You can use it freely in both personal and commercial projects.

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Quick Config Preview

{ "mcpServers": { "pearl-mcp-server": { "command": "npx", "args": ["-y", "pearl-mcp-server"] } } }

Add this to your claude_desktop_config.json or .cursor/mcp.json

Read the full setup guide →

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