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Vinkius

Smithery MCP Server for Mastra AI 11 tools — connect in under 2 minutes

Built by Vinkius GDPR 11 Tools SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Smithery through the Vinkius and Mastra agents discover all tools automatically — type-safe, streaming-ready, and deployable anywhere Node.js runs.

Vinkius supports streamable HTTP and SSE.

typescript
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: {
      "smithery": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Smithery Agent",
    instructions:
      "You help users interact with Smithery " +
      "using 11 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with Smithery?"
  );
  console.log(result.text);
}

main();
Smithery
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
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 Smithery MCP Server

What you can do

Connect AI agents to the Smithery Registry for comprehensive MCP server discovery and management:

Mastra's agent abstraction provides a clean separation between LLM logic and Smithery tool infrastructure. Connect 11 tools through the 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.

  • Search MCP servers — find servers by name, description, or tags with semantic search
  • Get server details — review metadata, verification status, and user counts
  • Discover tools — list all tools (functions) exposed by any registered MCP server
  • Discover resources — list all data resources available from MCP servers
  • Discover prompts — list all prompt templates exposed by MCP servers
  • Create connections — connect to MCP servers via Smithery Connect with automatic OAuth handling
  • Manage connections — list, inspect, and remove MCP server connections
  • Generate service tokens — create scoped, time-limited tokens for frontend/agent access
  • View analytics — monitor server usage, adoption trends, and performance metrics

The Smithery MCP Server exposes 11 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 Smithery to Mastra AI via MCP

Follow these steps to integrate the Smithery MCP Server with Mastra AI.

01

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

Mastra discovers 11 tools from Smithery via MCP

Why Use Mastra AI with the Smithery MCP Server

Mastra AI provides unique advantages when paired with Smithery through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add Smithery without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every Smithery tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host — Vercel, Railway, Fly.io, or your own infrastructure

Smithery + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the Smithery MCP Server delivers measurable value.

01

Automated workflows: build multi-step agents that query Smithery, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed Smithery as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query Smithery on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using Smithery tools alongside other MCP servers

Smithery MCP Tools for Mastra AI (11)

These 11 tools become available when you connect Smithery to Mastra AI via MCP:

01

create_connection

Smithery handles OAuth, tokens, and sessions automatically. Requires the server namespace and connection configuration (mcpUrl, optional headers, metadata). Returns the connection ID, status, and server info. Use this to integrate MCP servers into your applications without managing authentication complexity. Create a new connection to an MCP server via Smithery Connect

02

create_service_token

The token has limited permissions defined by the policy (namespaces, resources, operations, metadata, TTL). Returns the token string. Use this to provide secure, time-limited access to MCP servers without exposing your main API key. Generate a scoped service token for frontend/agent access to MCP servers

03

delete_connection

This action cannot be undone. Requires namespace and connection ID. Use this to clean up unused connections or revoke access. Remove an MCP server connection

04

get_connection

Requires namespace and connection ID. Use this to review connection details or troubleshoot connectivity issues. Get detailed information about a specific MCP connection

05

get_server_analytics

Requires the server qualified name. Use this to monitor server adoption, identify usage trends, or troubleshoot performance issues. Get usage analytics for a specific MCP server

06

get_server_details

Requires the qualified name (e.g., "smithery/hello-world" or "github/github") from search_servers results. Use this to review server capabilities before connecting. Get detailed information about a specific MCP server from the Smithery registry

07

get_server_prompts

Returns prompt names, descriptions, and argument definitions. Requires the server qualified name. Use this to discover reusable prompt workflows available from the server. List all prompt templates exposed by a specific MCP server

08

get_server_resources

Returns resource URIs, names, descriptions, and MIME types. Requires the server qualified name. Use this to understand what data the server provides read access to. List all resources exposed by a specific MCP server

09

get_server_tools

Returns tool names, descriptions, input schemas, and annotations. Requires the server qualified name. Use this to understand what actions the server can perform before connecting it to your agents. List all tools exposed by a specific MCP server

10

list_connections

Returns connection IDs, names, statuses, creation dates, and metadata. Use this to audit which connections are active, review connection configurations, or identify unused connections. List all connections for a specific MCP server namespace

11

search_servers

Returns matching servers with qualified names, descriptions, verification status, user counts, and deployment info. Use optional filters to narrow by namespace, verified status, or deployment state. Results include pagination metadata. Use this as the first step to discover available MCP servers before connecting or installing them. Search the Smithery registry for MCP servers by name, description, or tags

Example Prompts for Smithery in Mastra AI

Ready-to-use prompts you can give your Mastra AI agent to start working with Smithery immediately.

01

"Search for verified GitHub-related MCP servers"

02

"Show me all tools exposed by the Stripe MCP server"

03

"Create a connection to the Slack MCP server for my workspace"

Troubleshooting Smithery MCP Server with Mastra AI

Common issues when connecting Smithery to Mastra AI through the Vinkius, and how to resolve them.

01

createMCPClient not exported

Install: npm install @mastra/mcp

Smithery + Mastra AI FAQ

Common questions about integrating Smithery MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

Connect Smithery to Mastra AI

Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.