Easemob / 环信 MCP Server for Mastra AI 10 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Easemob / 环信 through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token. get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"easemob": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Easemob / 环信 Agent",
instructions:
"You help users interact with Easemob / 环信 " +
"using 10 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Easemob / 环信?"
);
console.log(result.text);
}
main();
* 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.
Mastra's agent abstraction provides a clean separation between LLM logic and Easemob / 环信 tool infrastructure. Connect 10 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
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 Mastra 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 Mastra AI via MCP
Follow these steps to integrate the Easemob / 环信 MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 10 tools from Easemob / 环信 via MCP
Why Use Mastra AI with the Easemob / 环信 MCP Server
Mastra AI provides unique advantages when paired with Easemob / 环信 through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Easemob / 环信 without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Easemob / 环信 tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
Easemob / 环信 + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Easemob / 环信 MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Easemob / 环信, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Easemob / 环信 as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Easemob / 环信 on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Easemob / 环信 tools alongside other MCP servers
Easemob / 环信 MCP Tools for Mastra AI (10)
These 10 tools become available when you connect Easemob / 环信 to Mastra 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
Register a new IM user
send_text_message
Send text message
Example Prompts for Easemob / 环信 in Mastra AI
Ready-to-use prompts you can give your Mastra 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 Mastra AI
Common issues when connecting Easemob / 环信 to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpEasemob / 环信 + Mastra AI FAQ
Common questions about integrating Easemob / 环信 MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
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Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Easemob / 环信 to Mastra AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.