Modrinth MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Modrinth as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Modrinth. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Modrinth?"
)
print(response)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Modrinth MCP Server
Connect to the Modrinth ecosystem through your AI agent to discover and manage Minecraft mods, resource packs, and plugins using natural conversation.
LlamaIndex agents combine Modrinth tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
What you can do
- Project Discovery — Search for projects using advanced filters for game versions, loaders, and categories.
- Version Management — List all available versions for any project and get detailed download links and metadata.
- Dependency Tracking — Automatically identify other projects that a mod depends on to function correctly.
- User & Team Insights — View public profiles, search for creators, and list team members for any project.
- Community Metrics — Monitor project popularity by listing followers and viewing detailed metadata including download counts.
- Direct Download Info — Access specific version files, hashes, and loader compatibility details.
The Modrinth MCP Server exposes 10 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Modrinth to LlamaIndex via MCP
Follow these steps to integrate the Modrinth MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 10 tools from Modrinth
Why Use LlamaIndex with the Modrinth MCP Server
LlamaIndex provides unique advantages when paired with Modrinth through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Modrinth tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Modrinth tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Modrinth, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Modrinth tools were called, what data was returned, and how it influenced the final answer
Modrinth + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Modrinth MCP Server delivers measurable value.
Hybrid search: combine Modrinth real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Modrinth to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Modrinth for fresh data
Analytical workflows: chain Modrinth queries with LlamaIndex's data connectors to build multi-source analytical reports
Modrinth MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Modrinth to LlamaIndex via MCP:
get_project
Get detailed Modrinth project info
get_project_dependencies
Get project dependencies
get_team_members
List project team members
get_user_profile
Get user profile info
get_version
Get specific version details
list_project_followers
List project followers
list_user_projects
List projects by a user
list_versions
List versions of a Modrinth project
search_projects
You can include game versions (e.g., 1.20.1) or loaders (e.g., Fabric) in your query. Search for Minecraft projects on Modrinth
search_users
Search for Modrinth users
Example Prompts for Modrinth in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Modrinth immediately.
"Search for optimization mods for Minecraft 1.20.1 using Fabric."
"Who are the developers of the Sodium mod?"
"What does the 'Iris Shaders' mod depend on?"
Troubleshooting Modrinth MCP Server with LlamaIndex
Common issues when connecting Modrinth to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpModrinth + LlamaIndex FAQ
Common questions about integrating Modrinth MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect Modrinth with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Modrinth to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.