How to Use the Galxe MCP in CrewAI

Q: How do I connect the Galxe MCP to CrewAI?

Drop the Vinkius URL into the mcps array parameter when defining your Agent. For more granular control, import MCPServerHTTP and specify exactly which tools the agent can access.

Q: Can I restrict Galxe write access to a specific CrewAI agent?

Yes. You assign mutatecredentialitems exclusively to an admin agent. The rest of the crew can only read data using the eligibility and leaderboard tools.

Q: How do CrewAI agents use Galxe quest data?

An agent queries getquest to understand the active campaign rules. It stores this context in shared memory so other agents can reference the requirements when talking to users.

Q: Will the agents automatically check user eligibility?

You give a support agent access to checkquesteligibility. When a user complains about missing rewards, the agent verifies their status before escalating the ticket.

Deploy autonomous CrewAI agents to manage Galxe campaigns, track leaderboards, and update credentials.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Galxe MCP to CrewAI

Create your Vinkius account to connect Galxe 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.

GDPR Free for Subscribers

Setup Galxe with CrewAI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Autonomous CrewAI Campaign Teams

The `get_quest` tool feeds raw campaign details to a dedicated research agent. This agent analyzes the requirements and passes the summary to a secondary community manager agent that answers user questions in Discord. You assign specific tools to specific roles using the `tool_filter` parameter. The researcher only reads data, while the moderator holds the keys to make structural changes.

Delegated Credential Management

A moderator agent uses `mutate_credential_items` to update API credential lists based on off-chain activity. It watches your internal database and automatically syncs eligible users to Galxe. Before making any updates, a verification agent runs `check_credential_eligibility` to ensure the user isn't already on the list. This shared memory across the crew prevents duplicate API calls and wasted operations.

Monitor Community Rankings

Tracking loyalty points is a job for an analytics agent armed with the `get_space_leaderboard` tool. It pulls the top-ranked accounts every hour and flags suspicious farming behavior. You point another agent at the `get_starboard_leaderboard` to track Twitter influence. The crew cross-references these two datasets to identify your most valuable community members automatically.

Setup guide

Set up Galxe 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 Galxe tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent Galxe 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="Galxe Analyst",
        goal="Access and analyze Galxe data via MCP.",
        backstory="Expert analyst with direct Galxe access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Galxe 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 Galxe. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Galxe now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Galxe MCP in CrewAI

Drop the Vinkius URL into the `mcps` array parameter when defining your Agent. For more granular control, import `MCPServerHTTP` and specify exactly which tools the agent can access.

Yes. You assign `mutate_credential_items` exclusively to an admin agent. The rest of the crew can only read data using the eligibility and leaderboard tools.

An agent queries `get_quest` to understand the active campaign rules. It stores this context in shared memory so other agents can reference the requirements when talking to users.

You give a support agent access to `check_quest_eligibility`. When a user complains about missing rewards, the agent verifies their status before escalating the ticket.

The system processes Web3 addresses and loyalty point balances inside a strictly ephemeral V8 container. Vinkius terminates the connection and purges the memory space immediately after the crew finishes its operation.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript