AI coding assistants move fast, but only as fast as their context is good.
On an Overwolf project, a generic assistant can hand you a standard Electron pattern for an OW-Electron app, an API signature from the wrong package version, or a method that looks real but doesn't exist.

The Overwolf Docs MCP server fixes the guessing. Once connected, Claude Code can search the Overwolf documentation directly from your workflow instead of relying on memory or whatever you paste into the prompt.

MCP (Model Context Protocol) is the open standard behind this: it lets an AI application call external tools and pull in outside information instead of relying only on what it already knows. Model Context Protocol The server itself isn't Claude Code-specific, but this guide covers Claude Code because that's the setup Overwolf currently documents.

Why It's Worth Connecting

Without the MCP server, Claude Code is guessing from whatever it already knows, which goes stale the moment Overwolf ships a change, or from documentation you copy-paste into the prompt yourself. The MCP server lets it pull the current Overwolf docs directly into the conversation, on demand, so answers stay grounded in what's actually documented instead of what sounds plausible.

A project-level CLAUDE.md tells Claude Code when to reach for the docs and how to combine that with what it finds in your codebase.

It's most useful when a question needs more than a method signature:

• Understanding a Game Events Provider event's lifecycle
• Getting the overlay package's init sequence right
• Working through the Ads SDK
• Confirming an API exists in the package version you actually have installed
• Telling OW-Electron requirements apart from standard Electron patterns
• Debugging errors that mix framework behavior with Overwolf-specific APIs

How to Connect and Run It

Step 1: Add a project CLAUDE.md

Create CLAUDE.md in your project root. For OW-Electron, Overwolf's configuration tells Claude Code to:

• Search docs using the docs-ow-electron-current filter
• Check local @overwolf type definitions when verifying an API
• Query the docs when a symbol isn't found locally, or more implementation context is needed
• Use @overwolf/ow-electron and @overwolf/ow-electron-builder, never the standard electron / electron-builder
• Never invent an Overwolf API shape that isn't confirmed by local types or docs
• Cite the file path and line number when referencing a local type

It also carries the correct OW-Electron start, build, and package.json rules. Overwolf Dev Building an Overwolf Native project instead? Use the Native CLAUDE.md template linked from the full guide, not the OW-Electron one. Using the right template is what stops Claude Code from treating your project like a generic Electron or browser app.

Step 2: Connect the MCP server

From your project directory:

claude mcp add --transport http ow-docs-mcp https://V9EMDT18EK.algolia.net/mcp/1/cuI6UtBzTwKOL6E0Hvp-hw/mcp

Using Claude Code inside VS Code? You may need user scope instead:

claude mcp add --transport http ow-docs-mcp https://V9EMDT18EK.algolia.net/mcp/1/cuI6UtBzTwKOL6E0Hvp-hw/mcp --scope user

Verify it's connected:

claude mcp list

Or from inside a session, run /mcp to see connected servers and their tools. If the Overwolf server doesn't show up, reload Claude Code and check again. Claude Docs

Try It

With CLAUDE.md and the MCP connection in place:

Using the Overwolf Electron documentation and the local @overwolf type definitions in this project, show me how to initialize the overlay package from the main process. Include a TypeScript example. For each Overwolf API you use, cite either the documentation source or the local type-definition file and line number. Do not use the standard Electron packages.

That prompt tells Claude Code the framework, the process it's working in, that it should check both the repo and the docs, that you want a working example, and that every API claim needs a source.

For debugging:

Fix this Overwolf Electron error: [paste the complete error message]. First verify the relevant API against the installed @overwolf type definitions, then search the Overwolf documentation for implementation guidance. Explain the cause before changing the code.

Claude Code will often pick the MCP tool on its own once it detects a documentation gap, but naming "Overwolf documentation" explicitly helps when multiple MCP servers are connected.

A few habits that sharpen the answers:

• Say Overwolf, and say Native or Electron. Skip this and you risk a generic framework answer.
• Say whether you want documentation (concepts, setup, examples) or an API reference (types, signatures).
• Name the file, process, or module: main process, renderer, a specific service.
• Ask for code explicitly. When debugging, paste the full error, don't paraphrase it.
• Break large tasks into steps: get the right API and init sequence confirmed before touching multiple files.
• Stuck in a loop on the same wrong answer? Reset the conversation instead of repeating the prompt.

Read the docs here

The Point of All This

This isn't about letting Claude Code write more code with less review.
It's about giving it better evidence before it proposes any.
The docs MCP server supplies real, current Overwolf guidance instead of a guess, and CLAUDE.md tells Claude Code when to reach for it.

You'll still review, run, and test everything. You'll just spend less time correcting generic Electron suggestions, chasing invented API calls, or hunting for the doc page that never made it into the conversation.

Add the framework-specific CLAUDE.md, connect the Overwolf Docs MCP server, and run your first Overwolf-aware prompt.

Configure AI coding tools for your Overwolf project →