Dual transport support
Use HTTP for direct client calls or SSE when your MCP client expects streaming events.
Connect Appalize to Claude, Cursor, and VS Code through the Model Context Protocol.
Use HTTP for direct client calls or SSE when your MCP client expects streaming events.
Expose keyword, ranking, app, and optimization workflows to AI agents through one server definition.
Paste one MCP block, add your API key header, and start testing from the client you already use.
Where do I get the API key?
Create it in the Appalize product at API Dashboard, then paste it into your MCP client config as `x-api-key`.
HTTP: https://api.appalize.com/api/mcp
SSE: https://api.appalize.com/api/mcp/sse
Header:
x-api-key: YOUR_API_KEY{
"mcpServers": {
"appalize": {
"transport": "http",
"url": "https://api.appalize.com/api/mcp",
"headers": {
"x-api-key": "YOUR_API_KEY"
}
}
}
}Each client handles MCP configuration differently. Use the steps below to connect Appalize to your environment.
Open Claude Desktop settings.
Add the Appalize MCP server entry to your config file.
Restart Claude Desktop and re-authorize with your API key.
Install Continue in VS Code.
Add an `mcpServers` entry pointing to the Appalize HTTP or SSE transport.
Reload the editor window to pick up the new tool server.
Enable MCP in Cursor settings.
Paste the Appalize MCP server definition with your API key.
Restart Cursor and test the manifest or health endpoint.
Appalize MCP is not a hand-maintained sidecar. The exposed catalog is filtered from the same registry and auth scope model that powers the backend integration layer.
The MCP manifest, tools, resources, and scopes are generated from one backend registry so the AI surface stays aligned with the product API.
Clients only see tools and resources their API key or dashboard JWT can actually use. Admin tools require an admin role as well as admin scopes.
The manifest omits input schemas unless `detail=full` is requested, reducing token usage for assistants that only need discovery.
Appalize MCP now spans keyword research, app details, competitor analysis, Apple workspace operations, pricing context, and other growth workflows.
Appalize publishes model-readable resources and prompts so an assistant can verify the active account, inspect scopes, follow the manifest-first flow, and use safer write behavior before it calls tools.
appalize://mcp/usage-guideTool/resource ordering, manifest-first discovery, ASO all-locale defaults, lowercase keyword policy, and safe write rules.
appalize://mcp/account-profileSafe metadata for the authenticated Appalize account: user ID, role, auth method, API key ID/name, label, and scopes. Raw secrets are never returned.
appalize://mcp/multi-account-guideClient config pattern and routing rules for multiple Appalize accounts.
appalize_mcp_orientationPrompt that tells the model to read account profile and usage guide resources before selecting tools, and to default ASO/cross-localization to all Appalize target locales unless a subset is explicit.
appalize_multi_account_routingPrompt that tells the model to verify account context and ask before ambiguous writes.
Create a separate Appalize API key for each Appalize account or client profile, then give each key its own MCP server name. The backend does not store other Appalize account keys for routing.
{
"mcpServers": {
"appalize-personal": {
"transport": "http",
"url": "https://api.appalize.com/api/mcp",
"headers": {
"x-api-key": "APK_FOR_PERSONAL_ACCOUNT"
}
},
"appalize-client-a": {
"transport": "http",
"url": "https://api.appalize.com/api/mcp",
"headers": {
"x-api-key": "APK_FOR_CLIENT_A"
}
},
"appalize-client-b": {
"transport": "http",
"url": "https://api.appalize.com/api/mcp",
"headers": {
"x-api-key": "APK_FOR_CLIENT_B"
}
}
}
}Our MCP server registers specialized tools automatically for your AI assistants.
search_keywordsLook up keywords and suggestions with country-aware query support.
get_app_detailsFetch app records and related analytics context for a store identifier.
get_competitor_keywordsInspect competitor keyword sets and ranking opportunities.
optimize_titleGenerate AI-assisted title ideas using target keyword context.
Next Steps
Need raw data streams or batch processing? Our REST API documentation provides full endpoint details and playgrounds.