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 LangChain?
LangChain's ecosystem of 500+ components combines seamlessly with Mod.io through native MCP adapters. Connect 22 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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The largest ecosystem of integrations, chains, and agents. combine Mod.io MCP tools with 500+ LangChain components
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Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
- —
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
- —
Memory and conversation persistence let agents maintain context across Mod.io queries for multi-turn workflows
Mod.io in LangChain
Mod.io and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Mod.io to LangChain 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 LangChain
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 LangChain 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 LangChain
Every tool call from LangChain 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 LangChain connect to MCP servers?
Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.
Which LangChain agent types work with MCP?
All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
Can I trace MCP tool calls in LangSmith?
Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.
MultiServerMCPClient not found
Install: pip install langchain-mcp-adapters
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