How to Use the Galxe MCP in LangChain

Q: How do I trace Galxe tool calls in LangSmith?

Every time your LangChain agent calls getspaceleaderboard or mutatecredentialitems, LangSmith logs the inputs, latency, and raw response. You can debug failing credential updates in seconds.

Q: Can I use this to auto-assign Twitter roles?

Yes. Your LangChain agent can query getstarboardleaderboard to identify top influencers and then call your Discord tools to assign roles.

Chain Galxe credential checks and quest eligibility directly into your LangChain pipelines with this MCP Server.

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Connect Galxe MCP to LangChain

Create your Vinkius account to connect Galxe to LangChain 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 Galxe with LangChain

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Build multi-step Galxe validation chains in LangChain

Connect your LangChain agents directly to live Web3 credentials with this MCP Server. You can feed the output of `check_credential_eligibility` straight into your next decision node to automate participant verification without manual scripting. This setup lets your chains verify users and then immediately trigger `mutate_credential_items` to update their status. You get full visibility through LangSmith tracing to watch every single transition in real time.

Track loyal community members automatically

Stop manually checking spreadsheet exports. Use your LangChain agent to pull live rankings with `get_space_leaderboard` and instantly determine who gets access to exclusive Discord channels or token rolls. By combining this with `get_starboard_leaderboard`, your pipeline can weigh Twitter influence alongside on-chain actions. Your agent handles the math and decides the next step in the chain.

Automate quest eligibility routing

Your LangChain ReAct agents need to know if a user can actually participate before prompting them. Use `check_quest_eligibility` to dynamically route users to the right campaigns based on their current wallet state. Fetch the exact requirements first using `get_quest` to let your agent explain to the user why they are ineligible. It keeps your conversational flows accurate and grounded in real-time Web3 state.

Setup guide

Set up Galxe MCP in LangChain

Prerequisites

Python 3.10+ installed
langchain-mcp-adapters + langgraph packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChain BaseTool objects.
2

Connect via HTTP transport
Use MultiServerMCPClient with "transport": "http" pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create a ReAct agent
Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes Galxe tool calls through the MCP protocol.
4

Run with any LLM
Swap ChatOpenAI for ChatAnthropic, ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.

agent.py

from langchain_mcp_adapters.client import MultiServerMCPClient
from langgraph.prebuilt import create_react_agent
from langchain_openai import ChatOpenAI

async with MultiServerMCPClient({
    "galxe-mcp": {
        "transport": "http",
        "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    }
}) as client:
    tools = client.get_tools()

    agent = create_react_agent(
        ChatOpenAI(model="gpt-4o"),
        tools,
    )
    result = await agent.ainvoke({
        "messages": "List recent Galxe transactions"
    })
    print(result["messages"][-1].content)

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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.

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Common questions about Galxe MCP in LangChain

You register the server tools using the LangChain adapter and feed them into your agent's tool list. The output from `check_quest_eligibility` flows naturally as JSON into your next chain link.

Yes, you can use LangGraph alongside this MCP Server to trigger multiple instances of `get_quest` concurrently. This speeds up eligibility checks for large batches of community members.

Every time your LangChain agent calls `get_space_leaderboard` or `mutate_credential_items`, LangSmith logs the inputs, latency, and raw response. You can debug failing credential updates in seconds.

Yes. Your LangChain agent can query `get_starboard_leaderboard` to identify top influencers and then call your Discord tools to assign roles.

The server only processes public wallet addresses and quest IDs required by `check_credential_eligibility` to verify status. All operations run inside Vinkius's isolated sandbox, ensuring your API keys and user credentials never leak to the LLM provider.

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