4,000+ servers built on MCP Fusion
Vinkius
LangChainFramework
Why use Smithery MCP Server with LangChain?

Bring Registry
to LangChain

Create your Vinkius account to connect Smithery to LangChain and start using all 11 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.

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Create ConnectionCreate Service TokenDelete ConnectionGet ConnectionGet Server AnalyticsGet Server DetailsGet Server PromptsGet Server ResourcesGet Server ToolsList ConnectionsSearch Servers
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Compatible with every major AI agent and IDE

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+ other MCP clients
Smithery

What is the Smithery MCP Server?

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.

Built-in capabilities (11)

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

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

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

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

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

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

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

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

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

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

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

Why LangChain?

LangChain's ecosystem of 500+ components combines seamlessly with Smithery through native MCP adapters. Connect 11 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

  • The largest ecosystem of integrations, chains, and agents. combine Smithery MCP tools with 500+ LangChain components

  • Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

  • LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

  • Memory and conversation persistence let agents maintain context across Smithery queries for multi-turn workflows

See it in action

Smithery in LangChain

AI AgentVinkius
High Security·Kill Switch·Plug and Play
Enterprise Security

Why run Smithery with Vinkius?

The Smithery connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 11 tools are ready to work instantly without any complex setup.

You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.

Smithery
Fully ManagedNo server setup
Plug & PlayNo coding needed
SecurePrivacy protected
PrivateYour data is safe
Cost ControlBudget limits
Control1-click disconnect
Auto-UpdatesMaintenance free
High SpeedOptimized for AI
Reliable99.9% uptime
Your credentials and connection tokens are fully encrypted

* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure

01 / Catalog

Over 4,000 integrations ready for AI agents

Explore a vast library of pre-built integrations, optimized and ready to deploy.

02 / Credentials

Connect securely in under 30 seconds

Generate tokens to authenticate and link external services in a single step.

03 / Guardian

Complete visibility into every agent action

Audit live requests, latency, success rates, and active security compliance policies.

04 / FinOps

Optimize spending and track token ROI

Analyze real-time token consumption and cost metrics detailed by connection.

Over 4,000 integrations ready for AI agents
Connect securely in under 30 seconds
Complete visibility into every agent action
Optimize spending and track token ROI

Explore our live AI Agents Analytics dashboard to see it all working

This dashboard is included when you connect Smithery using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.

Why Vinkius

Smithery and 4,000+ other AI tools. No hosting, no code, ready to use.

Professionals who connect Smithery to LangChain through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.

4,000+MCP Integrations
<40msResponse time
100%Fully managed
Raw MCP
Vinkius
Ready-to-use MCPsFind and configure each manually4,000+ MCPs ready to use
Connection SetupManual coding & server setup1-click instant connection
Server HostingYou host it yourself (needs 24/7 uptime)100% hosted & managed by Vinkius
Security & PrivacyStored in plaintext config filesBank-grade encrypted vault
Activity VisibilityBlind execution (no logs or tracking)Live dashboard with real-time logs
Cost ControlRunaway AI token spend riskAutomatic budget limits
Revoking AccessMust delete files or code to stop1-click disconnect button
The Vinkius Advantage

How Vinkius secures Smithery for LangChain

Every request between LangChain and Smithery is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.

< 40msCold start
Ed25519Signed audit chain
60%Token savings
FAQ

Frequently asked questions

01

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.

02

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.

03

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.

04

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

05

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.

06

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.

07

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

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