How to Use the Zealy MCP in LangChain

Q: How does Zealy and LangChain help with leaderboard tracking?

You use the getleaderboard tool, which lets you pull either all-time or sprint rankings. The agent handles filtering by sprint so you always get the most relevant data for your current campaign.

Q: Can I check user status with Zealy and LangChain?

Absolutely. You can call checkmember to verify if a specific user belongs to a community. This is useful before letting the agent perform any actions on their behalf.

Q: What tools does Zealy and LangChain provide for moderation?

The server gives you direct control over users using banuser or adjusting their standing with addxp and removexp. These actions are key parts of any automated moderation workflow.

Q: How do I list available Zealy content with LangChain?

You can get a full view of what's available by calling listquests or checking out all the hidden details using listsecrets. This gives your agent a complete manifest of community assets.

Automate Zealy community growth and moderation with LangChain.

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Connect Zealy MCP to LangChain

Create your Vinkius account to connect Zealy 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 Zealy with LangChain

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Manage Community Quests and Goals

You can launch new campaigns using `create_quest` or modify existing ones via `update_quest`. The agent decides when to call these tools, ensuring the quest details are correct before activation. Need to hide something? Use `create_secret` to build a community secret for API tasks. You'll also manage overall structure by calling `list_modules` or fetching basic data with `get_community`.

Monitor and Update User Activity

To keep track of users, the agent fetches details using `get_user` (by Zealy ID) or finds people through `search_users`. You can also verify if someone belongs to a group with `check_member`. It's direct: you use `add_xp` or `remove_xp` to adjust user experience points on the fly, giving your agent full control over rewards.

Handle Webhooks and System Maintenance

Webhooks are critical for connecting Zealy to other services. Your chain can use `create_webhook`, track existing endpoints with `list_webhooks`, or clean up old connections using `delete_webhook`. For moderation, the agent has tools like `ban_user`. Plus, if a user submits work that needs checking, you'll call `review_submission` to approve or reject claimed quests.

Setup guide

Set up Zealy 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 Zealy 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({
    "zealy-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 Zealy 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 Zealy. 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 Zealy MCP in LangChain

You use the `get_leaderboard` tool, which lets you pull either all-time or sprint rankings. The agent handles filtering by sprint so you always get the most relevant data for your current campaign.

Absolutely. You can call `check_member` to verify if a specific user belongs to a community. This is useful before letting the agent perform any actions on their behalf.

The server gives you direct control over users using `ban_user` or adjusting their standing with `add_xp` and `remove_xp`. These actions are key parts of any automated moderation workflow.

You can get a full view of what's available by calling `list_quests` or checking out all the hidden details using `list_secrets`. This gives your agent a complete manifest of community assets.

The server interacts with user profiles, including fetching user details by Zealy ID. When building your chain, be mindful that you're working with specific identifiers tied to individual users.

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