How to Use the Mirror.xyz (Web3 Publishing Platform) MCP in AutoGen

Q: How do AutoGen agents call the Mirror.xyz (Web3 Publishing Platform) tools?

You register the getentries and getentry tools with your AssistantAgent. The agents will automatically decide when to call them based on the conversation context and user prompts.

Q: How do I handle errors if an AutoGen agent passes an invalid Mirror.xyz (Web3 Publishing Platform) digest?

If getentry receives an invalid digest, it returns a clear error message. Your AutoGen agents can read this error in the chat history and attempt to correct the digest or ask for clarification.

Enable multi-agent debates over Mirror.xyz publication data using this AutoGen-compatible MCP Server.

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Connect Mirror.xyz (Web3 Publishing Platform) MCP to AutoGen

Create your Vinkius account to connect Mirror.xyz (Web3 Publishing Platform) to AutoGen and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Mirror.xyz (Web3 Publishing Platform) with AutoGen

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Fuel multi-agent debates with Mirror.xyz data

The `get_entries` tool allows an AutoGen agent to fetch a list of publication digests for an ENS domain using this MCP Server. Once retrieved, one agent can propose specific digests to analyze while a second agent validates their relevance. This setup lets your agents debate which articles are worth reading. They filter the feed collaboratively before fetching the full content of the selected posts.

Audit decentralized content with specialized agents

The `get_entry` tool retrieves the raw markdown of a post from the Arweave gateway using its digest. A content agent can then draft a summary, while an editor agent reviews it for bias or technical accuracy. The agents pass the raw text back and forth, refining their analysis. You get a thoroughly critiqued summary based on the exact text of the Mirror.xyz publication.

Automate Web3 research workflows in AutoGen

The `get_entries` and `get_entry` tools give your AutoGen team direct access to web3-native publishing. An orchestrator agent coordinates the workflow, assigning retrieval and analysis tasks to different specialized agents. This eliminates manual coordination. Your agents handle the entire process from ENS resolution to final research report generation without human intervention.

Setup guide

Set up Mirror.xyz (Web3 Publishing Platform) MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes Mirror.xyz (Web3 Publishing Platform) tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="Mirror.xyz (Web3 Publishing Platform)_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Mirror.xyz (Web3 Publishing Platform) data")
print(result.messages[-1].content)

Get your connection token →

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="Mirror.xyz (Web3 Publishing Platform)_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Mirror.xyz (Web3 Publishing Platform) data")
    print(result.messages[-1].content)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Mirror.xyz. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Mirror.xyz (Web3 Publishing Platform) MCP in AutoGen

You register the `get_entries` and `get_entry` tools with your AssistantAgent. The agents will automatically decide when to call them based on the conversation context and user prompts.

Yes. The MCP Server handles concurrent requests, allowing different agents in your AutoGen group chat to fetch entries or digests simultaneously without blocking each other.

If `get_entry` receives an invalid digest, it returns a clear error message. Your AutoGen agents can read this error in the chat history and attempt to correct the digest or ask for clarification.

No. The tools only read public data from ENS and Arweave. Your agents do not need private keys, gas fees, or wallet signatures to retrieve content.

This server only handles public ENS domains, Arweave digests, and published markdown files. It operates in a read-only mode, meaning your AutoGen agents cannot modify blockchain state or compromise private data.

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