Bridge your AI agents to human Experts—fast

The age of autonomous agents is here. But without a way to verify, escalate, or add real-world judgment, even the smartest AI agents can flounder. That’s where Pearl’s MCP Server changes the game.

If you're building with Claude, Cursor, LangChain, or any agentic framework that supports the Model Context Protocol (MCP), Pearl offers a zero-fuss way to plug in real human Experts—lawyers, doctors, mechanics, and more—into your agent’s toolset. The best part? You don’t need to reinvent your stack.

Real Experts, available on demand

Pearl’s MCP Server acts like any other MCP-compliant tool provider—but instead of exposing code functions or APIs, it gives your agents access to real, credentialed humans.

You define when to escalate:

• Confidence scores too low? Route to a human.

• Regulated domain like law or medicine? Go straight to an Expert.

• User clicks “talk to a human”? You're already set up.
  

The Pearl API MCP Server handles the routing, session management, security, and response flow. Your agent stays focused on context. Pearl takes care of the credibility.

How integration works

Connecting your agent to Pearl’s MCP Server is straightforward:

1. Point your MCP-compatible client to https://pearl-api-mcp-server.pearlapi.workers.dev/sse.

2. Authenticate using your API key (available on request from Pearl).

3. Discover tools via MCP’s built-in schema. Exposed tools include:

   • askPearlAi: fast AI-generated answers

   • askPearlExpert: AI-assisted intake, then handoff to a real Expert

   • askExpert: immediate Expert response, no AI intermediary

4. Start routing. Pearl handles state, retries, and conversation continuity using Cloudflare Durable Objects.

Whether you’re using Claude Desktop, Cursor, or your own LLM wrapper, you’ll be able to plug-and-play without modifying your core agent logic.

Why MCP matters

The Model Context Protocol standardizes how agents discover and call external tools. Think of it as function-calling for the real world—designed for tools, APIs, and yes, humans.

Pearl leverages MCP to make human-in-the-loop scalable:

• Standardized JSON schemas for each tool

• Transport-agnostic communication (SSE, stdio, or custom)

• Persistent sessions managed through Durable Objects

• Scoped authentication via OAuth 2.1

  
  

And if you’re building your own MCP client or server, everything you need is open and extensible.

Ready to try it?

You can connect Pearl’s MCP Server to any of the following in minutes:

• Claude Desktop

• Cursor IDE

• VS Code

• LangChain-based agents

• OpenAI's Agent SDK (Python)

  
  

No need to write custom APIs for escalation logic. Just point to Pearl’s server, and let your agent discover the tools it needs.

Get started now

Want your agents to think like AI and know when to ask for help like humans?

🚀 Request your Pearl API key📘 Read the developer docs🔗 Check out the MCP spec on GitHub