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

Deploy a specialized CrewAI agent team to manage Mirror content. Research, analyze, and report on decentralized publications.

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

Create your Vinkius account to connect Mirror.xyz (Web3 Publishing Platform) to CrewAI 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 CrewAI

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Claude

Perplexity

Research-focused ENS scanning

Assign a researcher agent to use `get_entries` for monitoring Mirror publications. It can compile lists of recent posts for the rest of your crew to analyze. This keeps your team updated without manual input. The agent identifies new digests and passes them to the next step in your sequence.

Deep content analysis

Task your analyst agent with using `get_entry` to retrieve the full article body. It pulls the content from Arweave and prepares a summary for the team. By delegating this to an agent, you save time on reading long-form posts. The agent extracts key arguments and metadata for your records.

Autonomous monitoring sequences

Build a crew that operates on a schedule to check Mirror for new content. This MCP Server gives your agents the eyes they need to stay informed. It works in the background. Your agents coordinate based on the data retrieved, allowing for fully autonomous operations without human intervention.

Setup guide

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

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Mirror.xyz (Web3 Publishing Platform) tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Mirror.xyz (Web3 Publishing Platform) Analyst",
    goal="Access and analyze Mirror.xyz (Web3 Publishing Platform) data via MCP.",
    backstory="Expert analyst with direct Mirror.xyz (Web3 Publishing Platform) access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Mirror.xyz (Web3 Publishing Platform) transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

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

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="Mirror.xyz (Web3 Publishing Platform) Analyst",
        goal="Access and analyze Mirror.xyz (Web3 Publishing Platform) data via MCP.",
        backstory="Expert analyst with direct Mirror.xyz (Web3 Publishing Platform) access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Mirror.xyz (Web3 Publishing Platform) transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

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 CrewAI

You include the server in the agent's MCP configuration. The agents then call the tools as part of their assigned tasks.

Yes. CrewAI agents share memory, so one agent can fetch data via the tools and another can use it for analysis.

Yes. You can assign the tools to specific agents within the hierarchy to control who can fetch publication data.

Yes. You can filter the tools so the agent only has access to `get_entries` or `get_entry` based on its specific role.

The server only interacts with public Arweave records. It never handles or exposes private user data to your agent crew.

Use it with your favorite AI tools

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