apify · MQ37 · Oct 13, 2025 · Oct 9, 2025 · Oct 9, 2025 · Oct 9, 2025
diff --git a/README.md b/README.md
@@ -333,7 +333,7 @@ The Apify MCP Server is also available on [Docker Hub](https://hub.docker.com/mc

 The Actor input schema is processed to be compatible with most MCP clients while adhering to [JSON Schema](https://json-schema.org/) standards. The processing includes:
 - **Descriptions** are truncated to 500 characters (as defined in `MAX_DESCRIPTION_LENGTH`).
- **Enum fields** are truncated to a maximum combined length of 200 characters for all elements (as defined in `ACTOR_ENUM_MAX_LENGTH`).
+- **Enum fields** are truncated to a maximum combined length of 2000 characters for all elements (as defined in `ACTOR_ENUM_MAX_LENGTH`).
 - **Required fields** are explicitly marked with a `REQUIRED` prefix in their descriptions for compatibility with frameworks that may not handle the JSON schema properly.
 - **Nested properties** are built for special cases like proxy configuration and request list sources to ensure the correct input structure.
 - **Array item types** are inferred when not explicitly defined in the schema, using a priority order: explicit type in items > prefill type > default value type > editor type.
@@ -359,5 +359,4 @@ For major changes, please open an issue first to discuss your proposal and ensur
 - [How to use MCP with Apify Actors](https://blog.apify.com/how-to-use-mcp/)
 - [Tester MCP Client](https://apify.com/jiri.spilka/tester-mcp-client)
 - [Webinar: Building and Monetizing MCP Servers on Apify](https://www.youtube.com/watch?v=w3AH3jIrXXo)
- [MCP Client development guide](https://github.com/cyanheads/model-context-protocol-resources/blob/main/guides/mcp-client-development-guide.md)
 - [How to build and monetize an AI agent on Apify](https://blog.apify.com/how-to-build-an-ai-agent/)
diff --git a/src/tools/store_collection.ts b/src/tools/store_collection.ts
@@ -13,9 +13,13 @@ export async function searchActorsByKeywords(
    apifyToken: string,
    limit: number | undefined = undefined,
    offset: number | undefined = undefined,
+    allowsAgenticUsers: boolean | undefined = undefined,
 ): Promise<ExtendedActorStoreList[]> {
    const client = new ApifyClient({ token: apifyToken });
-    const results = await client.store().list({ search, limit, offset });
+    const storeClient = client.store();
+    if (allowsAgenticUsers !== undefined) storeClient.params = { ...storeClient.params, allowsAgenticUsers };
+
+    const results = await storeClient.list({ search, limit, offset });
    return results.items;
 }

@@ -90,13 +94,14 @@ USAGE EXAMPLES:
        inputSchema: zodToJsonSchema(searchActorsArgsSchema),
        ajvValidate: ajv.compile(zodToJsonSchema(searchActorsArgsSchema)),
        call: async (toolArgs) => {
-            const { args, apifyToken, userRentedActorIds } = toolArgs;
+            const { args, apifyToken, userRentedActorIds, apifyMcpServer } = toolArgs;
            const parsed = searchActorsArgsSchema.parse(args);
            let actors = await searchActorsByKeywords(
                parsed.search,
                apifyToken,
                parsed.limit + ACTOR_SEARCH_ABOVE_LIMIT,
                parsed.offset,
+                apifyMcpServer.options.skyfireMode ? true : undefined, // allowsAgenticUsers - filters Actors available for Agentic users
            );
            actors = filterRentalActors(actors || [], userRentedActorIds || []).slice(0, parsed.limit);
            const actorCards = actors.length === 0 ? [] : actors.map(formatActorToActorCard);