How do I find my Easemob Client ID and Secret?

Log in to the [Easemob Console](https://console.easemob.com/), select your application, and you will find your Org Name, App Name, Client ID, and Client Secret in the application details overview.

Does this server handle token rotation?

Yes! The server automatically requests and caches an OAuth2 access token using your credentials, handling expiration and renewal internally for all operations.

Can I send messages to multiple users at once?

Yes. In the `send_text_message` tool, you can provide a comma-separated list of usernames in the `to` parameter to reach multiple recipients simultaneously.

Easemob / 环信 MCP Server for Pydantic AI 10 tools — connect in under 2 minutes

Name: Easemob / 环信
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 10 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Easemob / 环信 through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Easemob / 环信 "
            "(10 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Easemob / 环信?"
    )
    print(result.data)

asyncio.run(main())

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Easemob / 环信 MCP Server

Empower your AI agent to orchestrate your real-time communication infrastructure with Easemob (环信), the leading provider of instant messaging services in China. By connecting Easemob to your agent, you transform complex IM user registration, group management, and cross-user messaging into a natural conversation. Your agent can instantly register new users, audit group memberships, send direct text messages, and browse chat histories without you ever needing to navigate a technical dashboard. Whether you are building an automated support bot or coordinating enterprise-wide chat groups, your agent acts as a real-time communication assistant, providing reliable results from a single, unified source.

Pydantic AI validates every Easemob / 环信 tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

What you can do

User Orchestration — Register, retrieve, list, and delete IM users with full support for nicknames and metadata.
Messaging Control — Send direct text messages between users or broadcast to groups with a simple natural language command.
Group Management — Create chat groups, manage owners, and add members to ensure seamless collaboration.
History Auditing — Access and browse historical chat messages for monitoring and analysis purposes.
System Management — List all active users and groups to maintain operational oversight of your IM ecosystem.

The Easemob / 环信 MCP Server exposes 10 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Easemob / 环信 to Pydantic AI via MCP

Follow these steps to integrate the Easemob / 环信 MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 10 tools from Easemob / 环信 with type-safe schemas

Why Use Pydantic AI with the Easemob / 环信 MCP Server

Pydantic AI provides unique advantages when paired with Easemob / 环信 through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Easemob / 环信 integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Easemob / 环信 connection logic from agent behavior for testable, maintainable code

Easemob / 环信 + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Easemob / 环信 MCP Server delivers measurable value.

Type-safe data pipelines: query Easemob / 环信 with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Easemob / 环信 tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Easemob / 环信 and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Easemob / 环信 responses and write comprehensive agent tests

Easemob / 环信 MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect Easemob / 环信 to Pydantic AI via MCP:

add_group_member

Add group member

create_group

Create chat group

delete_user

Delete IM user

get_chat_history

Get chat history

get_group

Get group details

get_user

Get user details

list_groups

List chat groups

list_users

List IM users

register_user

send_text_message

Send text message

Example Prompts for Easemob / 环信 in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Easemob / 环信 immediately.

"Register a new user 'test_user_01' with password 'pass123'."

"Send a message from 'admin' to 'user_01' saying 'Hello, welcome to the group!'."

"Create a new group called 'Project Alpha' with 'admin' as owner."

Troubleshooting Easemob / 环信 MCP Server with Pydantic AI

Common issues when connecting Easemob / 环信 to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Easemob / 环信 + Pydantic AI FAQ

Common questions about integrating Easemob / 环信 MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Easemob / 环信 MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.