How to Use the CurseForge MCP in OpenAI Agents SDK

Q: How do I query CurseForge using the OpenAI Agents SDK?

Initialize your agent with the server URL in your MCPServerStreamableHttp config. The SDK discovers all tools automatically, letting you call them as standard Python functions.

Q: Can the OpenAI Agents SDK identify local mods via CurseForge?

Yes, pass local file fingerprints to the getfingerprintsmatches tool. The server returns official matches, allowing your agent to verify mod integrity.

Q: Does this MCP Server support bulk requests for the OpenAI Agents SDK?

It does. Use getmodsbatch or getfilesbatch to retrieve data for multiple entries in one call. This reduces the number of tool invocations your agent needs to perform.

Plug the CurseForge repository into your OpenAI Agents SDK production pipeline to automate mod lookups and file management.

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Connect CurseForge MCP to OpenAI Agents SDK

Create your Vinkius account to connect CurseForge to OpenAI Agents SDK 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 CurseForge with OpenAI Agents SDK

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Search and verify mods with OpenAI Agents SDK

Use `search_mods` to find specific projects in the repository without manual browsing. Your agent reads the results and picks the right mod based on your criteria. Run `get_fingerprints_matches` to check local files against the database. It confirms if your environment matches official releases.

Fetch technical metadata for your agent

Call `get_mod` and `get_mod_file` to pull detailed specs directly into your code. You get version numbers and download links without leaving your script. Use `get_mod_description` or `get_mod_file_changelog` to grab raw text data. Your agent parses this to summarize updates or explain mod features.

Manage game versions via this MCP Server

Query `list_game_versions_v2` to get granular version data for any supported game. Your agent uses this to ensure compatibility before initiating any download. Execute `list_categories` to map out the available mod types. This helps your agent filter search results effectively.

Setup guide

Set up CurseForge MCP in OpenAI Agents SDK

Prerequisites

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

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all CurseForge tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives CurseForge tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate CurseForge tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="CurseForge Agent",
            instructions="You have access to CurseForge tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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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 CurseForge. 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 CurseForge MCP in OpenAI Agents SDK

Initialize your agent with the server URL in your `MCPServerStreamableHttp` config. The SDK discovers all tools automatically, letting you call them as standard Python functions.

Yes, pass local file fingerprints to the `get_fingerprints_matches` tool. The server returns official matches, allowing your agent to verify mod integrity.

It does. Use `get_mods_batch` or `get_files_batch` to retrieve data for multiple entries in one call. This reduces the number of tool invocations your agent needs to perform.

The server returns an error code that your agent handles via standard try-except blocks. You can then implement custom retry logic in your pipeline.

This server only processes mod metadata and file fingerprints. No private user account information or local file content beyond hashes is transmitted.

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