LibreChat MCP Server for Mastra AIGive Mastra AI instant access to 4 tools to Chat Completions, List Models, Login, and more
GDPR Free for SubscribersMastra AI is a TypeScript-native agent framework built for modern web stacks. Connect LibreChat 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 for Mastra AI
The LibreChat MCP Server for Mastra AI is a standout in the Productivity category — giving your AI agent 4 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
Geminiimport { 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: {
"librechat": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "LibreChat Agent",
instructions:
"You help users interact with LibreChat " +
"using 4 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with LibreChat?"
);
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 LibreChat MCP Server
Connect your LibreChat instance to any AI agent and gain programmatic control over your self-hosted AI ecosystem. This server allows you to bridge your custom agents and models with any MCP-compatible client.
Mastra's agent abstraction provides a clean separation between LLM logic and LibreChat tool infrastructure. Connect 4 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
- Agent Orchestration — List all available agents and models configured in your LibreChat environment.
- Unified Completions — Create chat completions using the Agents API, providing an OpenAI-compatible interface for your custom setups.
- Open Responses — Utilize the Open Responses API specification to generate structured AI outputs.
- Session Management — Authenticate directly via email and password to retrieve access tokens when a static API key is not preferred.
The LibreChat MCP Server exposes 4 tools through the Vinkius. Connect it to Mastra AI in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 4 LibreChat tools available for Mastra AI
When Mastra AI connects to LibreChat through Vinkius, your AI agent gets direct access to every tool listed below — spanning llm-orchestration, chat-interface, self-hosted, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
Chat completions on LibreChat
Model corresponds to an Agent ID. Create a chat completion using the Agents API
List models on LibreChat
List available LibreChat models/agents
Login on LibreChat
Login to LibreChat to get access and refresh tokens
Open responses on LibreChat
Create a response using the Open Responses API
Connect LibreChat to Mastra AI via MCP
Follow these steps to wire LibreChat into Mastra AI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install dependencies
npm install @mastra/core @mastra/mcp @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Mastra AI with the LibreChat MCP Server
Mastra AI provides unique advantages when paired with LibreChat through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add LibreChat 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 LibreChat 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
LibreChat + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the LibreChat MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query LibreChat, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed LibreChat as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query LibreChat on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using LibreChat tools alongside other MCP servers
Example Prompts for LibreChat in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with LibreChat immediately.
"List all available agents in my LibreChat instance."
"Login to LibreChat using my credentials."
"Ask agent_123 to summarize the latest trends in AI."
Troubleshooting LibreChat MCP Server with Mastra AI
Common issues when connecting LibreChat to Mastra AI through Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpLibreChat + Mastra AI FAQ
Common questions about integrating LibreChat 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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