Smithery MCP Server for AutoGen 11 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Smithery as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="smithery_agent",
tools=tools,
system_message=(
"You help users with Smithery. "
"11 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
asyncio.run(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 Smithery MCP Server
What you can do
Connect AI agents to the Smithery Registry for comprehensive MCP server discovery and management:
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Smithery tools. Connect 11 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
- 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 AutoGen 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 AutoGen via MCP
Follow these steps to integrate the Smithery MCP Server with AutoGen.
Install AutoGen
Run pip install "autogen-ext[mcp]"
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Integrate into workflow
Use the agent in your AutoGen multi-agent orchestration
Explore tools
The workbench discovers 11 tools from Smithery automatically
Why Use AutoGen with the Smithery MCP Server
AutoGen provides unique advantages when paired with Smithery through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Smithery tools to solve complex tasks
Role-based architecture lets you assign Smithery tool access to specific agents. a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive Smithery tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Smithery tool responses in an isolated environment
Smithery + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Smithery MCP Server delivers measurable value.
Collaborative analysis: one agent queries Smithery while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Smithery, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Smithery data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Smithery responses in a sandboxed execution environment
Smithery MCP Tools for AutoGen (11)
These 11 tools become available when you connect Smithery to AutoGen via MCP:
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
Example Prompts for Smithery in AutoGen
Ready-to-use prompts you can give your AutoGen agent to start working with Smithery immediately.
"Search for verified GitHub-related MCP servers"
"Show me all tools exposed by the Stripe MCP server"
"Create a connection to the Slack MCP server for my workspace"
Troubleshooting Smithery MCP Server with AutoGen
Common issues when connecting Smithery to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Smithery + AutoGen FAQ
Common questions about integrating Smithery MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
Connect Smithery with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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Google's framework for building production AI agents.
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TypeScript toolkit for building AI-powered web applications.
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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.
Connect Smithery to AutoGen
Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.