Compatible with every major AI agent and IDE
What is the Mod.io MCP Server?
Connect your mod.io account to any AI agent to manage your gaming library and modding workflows through natural conversation.
What you can do
- Game Discovery — Browse all games on the platform using
get_gamesand fetch detailed stats and metadata for specific titles withget_game_stats. - Mod Management — Search for mods using
get_mods, view detailed descriptions withget_mod, and manage your own mod profiles including adding, editing, or deleting entries. - User Subscriptions — Subscribe or unsubscribe from mods using
subscribe_modandunsubscribe_mod, rate content withrate_mod, and track your personal collections. - Account Insights — Access your profile with
get_me, check your wallet information viaget_wallets, and view purchased content directly through the API.
How it works
- Subscribe to this server
- Enter your mod.io API Key and Access Token
- Start managing your mods from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Gamers — instantly find and subscribe to new mods for your favorite games without leaving your chat interface
- Mod Creators — manage your mod listings, update summaries, and check performance stats directly from your workspace
- Community Managers — monitor mod ratings and game statistics to understand community trends and engagement
Built-in capabilities (22)
Requires OAuth 2 Access Token. Create a new mod collection
Requires OAuth 2 Access Token. Add a new mod to a game
Requires OAuth 2 Access Token. Delete a mod
Requires OAuth 2 Access Token. Edit details of an existing mod
Get mods within a collection
Get all mod collections for a game
Get details for a specific game
Get statistics for a game
io platform. Get all games on mod.io
Requires OAuth 2 Access Token. Get authenticated user details
Get details for a specific mod
Get a specific modfile
Get all files for a mod
Get all mods for a game
Requires OAuth 2 Access Token. Get mods purchased by the user
Requires OAuth 2 Access Token. Get ratings submitted by the user
Requires OAuth 2 Access Token. Get mods the user is subscribed to
Requires OAuth 2 Access Token. Get user wallets for monetization
Get text and links for user consent dialogs
Requires OAuth 2 Access Token. Rate a mod
Requires OAuth 2 Access Token. Subscribe to a mod
Requires OAuth 2 Access Token. Unsubscribe from a mod
Why LlamaIndex?
LlamaIndex agents combine Mod.io tool responses with indexed documents for comprehensive, grounded answers. Connect 22 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.
- —
Data-first architecture: LlamaIndex agents combine Mod.io tool responses with indexed documents for comprehensive, grounded answers
- —
Query pipeline framework lets you chain Mod.io tool calls with transformations, filters, and re-rankers in a typed pipeline
- —
Multi-source reasoning: agents can query Mod.io, a vector store, and a SQL database in a single turn and synthesize results
- —
Observability integrations show exactly what Mod.io tools were called, what data was returned, and how it influenced the final answer
Mod.io in LlamaIndex
Mod.io and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Mod.io to LlamaIndex through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Mod.io in LlamaIndex
The Mod.io 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. All 22 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in LlamaIndex only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

* 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
How Vinkius secures
Mod.io for LlamaIndex
Every tool call from LlamaIndex to the Mod.io MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I see the details of a specific mod using its ID?
Yes! Use the get_mod tool with the game_id and mod_id. Your agent will return full metadata, descriptions, and stats for that specific mod.
How do I subscribe to a mod through the AI?
Simply use the subscribe_mod action with the target game and mod IDs. The agent will handle the authentication and add it to your subscription library.
Is it possible to check game popularity statistics?
Yes, the get_game_stats tool provides real-time data on game popularity, mod counts, and download metrics for any game on the platform.
How does LlamaIndex connect to MCP servers?
Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
Can I combine MCP tools with vector stores?
Yes. LlamaIndex agents can query Mod.io tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
Does LlamaIndex support async MCP calls?
Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.
BasicMCPClient not found
Install: pip install llama-index-tools-mcp
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