Smithery MCP Server
AI MCP registry: discover, search, and connect MCP servers to your agents via Smithery.
Ask AI about this MCP Server
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* 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
What is the Smithery MCP Server?
The Smithery MCP Server gives AI agents like Claude, ChatGPT, and Cursor direct access to Smithery via 11 tools. AI MCP registry: discover, search, and connect MCP servers to your agents via Smithery. Powered by the Vinkius - no API keys, no infrastructure, connect in under 2 minutes.
Built-in capabilities (11)
Tools for your AI Agents to operate Smithery
Ask your AI agent "Search for verified GitHub-related MCP servers" and get the answer without opening a single dashboard. With 11 tools connected to real Smithery data, your agents reason over live information, cross-reference it with other MCP servers, and deliver insights you would spend hours assembling manually.
Works with Claude, ChatGPT, Cursor, and any MCP-compatible client. Powered by the Vinkius - your credentials never touch the AI model, every request is auditable. Connect in under two minutes.
Why teams choose Vinkius
One subscription gives you access to thousands of MCP servers - and you can deploy your own to the Vinkius Edge. Your AI agents only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure and security, zero maintenance.
Build your own MCP Server with our secure development framework →Vinkius works with every AI agent you already use
…and any MCP-compatible client
Smithery MCP Server capabilities
11 toolsSmithery 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
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
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
Requires namespace and connection ID. Use this to review connection details or troubleshoot connectivity issues. Get detailed information about a specific MCP connection
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
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
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
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
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
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
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
What the Smithery MCP Server unlocks
What you can do
Connect AI agents to the Smithery Registry for comprehensive MCP server discovery and management:
- 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
How it works
1. Get your Smithery API key from smithery.ai/account/api-keys
2. Ask your AI agent to search the registry, discover server capabilities, or create connections
3. Natural language commands replace manual Smithery dashboard navigation
4. Zero OAuth configuration — Smithery Connect handles tokens and sessions automatically
Who is this for?
Essential for AI application developers, agent architects, platform engineers, MCP server publishers, and enterprise AI teams building with the Model Context Protocol. Let AI agents discover relevant MCP servers, review their capabilities, create managed connections, and monitor usage analytics. Perfect for teams integrating multiple MCP servers who want to streamline server discovery, eliminate manual OAuth configuration, and enable AI-driven MCP ecosystem management.
Frequently asked questions about the Smithery MCP Server
Do I need a Smithery account to use this MCP server?
Yes, you need a free Smithery account to generate an API key. Sign up at smithery.ai, then go to Account Settings > API Keys to create your key. The key gives access to the registry search, server details, and connection management features.
How does Smithery Connect handle OAuth for MCP servers?
Smithery Connect automatically handles OAuth flows, token refresh, and session management for MCP servers that require authentication. You don't need to configure redirect URIs, client IDs, or manage token expiration. Simply create a connection and Smithery manages the authentication lifecycle, providing your agents with seamless access.
Can I search for verified MCP servers only?
Yes! Use the verified filter in the search_servers tool by setting verified=true. This returns only servers that have been verified by Smithery, ensuring higher quality and security standards. Verified servers display a verification badge and have undergone additional review.
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Connect Smithery with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Give your AI agents the power of Smithery MCP Server
Production-grade Smithery MCP Server. Verified, monitored, and maintained by Vinkius. Ready for your AI agents — connect and start using immediately.