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MQ37 merged 2 commits into from
Jul 23, 2026
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docs: Remove add-actor mentions from MCP integration docs #2795

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docs: Remove add-actor mentions from MCP integration docs
MQ37 Jul 22, 2026
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docs: Drop gerunds from Actor-on-demand heading
marcel-rbro Jul 23, 2026
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18 changes: 3 additions & 15 deletions sources/platform/integrations/ai/mcp.md
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Expand Up @@ -342,29 +342,17 @@ If the `tools` parameter includes any other tool, or you connect to the default
| `get-key-value-store-record` | storage | | Get the value associated with a specific key in a key-value store |
| `get-dataset-list` | storage | | List all available datasets for the user |
| `get-key-value-store-list` | storage | | List all available key-value stores for the user |
| `add-actor`* | experimental | ❔ | Add an Actor as a new tool for the user to call |
| `get-actor-output`* | - | ✅ | Retrieve the output from an Actor call which is not included in the output preview of the Actor tool. |

:::note Retrieving full output

The `get-actor-output` tool is automatically included with any Actor-related tool, such as `call-actor`, `add-actor`, or specific Actor tools like `apify-slash-rag-web-browser`. When you call an Actor, you receive an output preview. Depending on the output format and length, the preview may contain the complete output or only a limited version to avoid overwhelming the LLM. To retrieve the full output, use the `get-actor-output` tool with the `datasetId` from the Actor call. This tool supports limit, offset, and field filtering.
The `get-actor-output` tool is automatically included with any Actor-related tool, such as `call-actor` or specific Actor tools like `apify-slash-rag-web-browser`. When you call an Actor, you receive an output preview. Depending on the output format and length, the preview may contain the complete output or only a limited version to avoid overwhelming the LLM. To retrieve the full output, use the `get-actor-output` tool with the `datasetId` from the Actor call. This tool supports limit, offset, and field filtering.

:::

#### Dynamic tool discovery
#### Find and call any Actor on demand

One of the most powerful features is the ability to discover and use new Actors on demand.
It can search Apify Store for relevant Actors using the `search-actors` tool, inspect Actor details to understand required inputs, add the Actor as a new tool, and execute it with appropriate parameters.

This dynamic discovery means your AI can adapt to new tasks without manual configuration.
Each discovered Actor becomes immediately available for future use in the conversation.

:::note Dynamic tool discovery

When you use the `actors` tool category, clients that support dynamic tool discovery (such as Claude.ai web and VS Code) will automatically receive the `add-actor` tool instead of `call-actor` for enhanced Actor discovery capabilities.
For a detailed overview of client support for dynamic discovery, see the [MCP client capabilities package](https://github.com/apify/mcp-client-capabilities).

:::
Your AI can search Apify Store for relevant Actors using the `search-actors` tool, inspect Actor details to understand required inputs, and call any Actor by name using `call-actor` - without needing to pre-configure it. This means your AI can adapt to new tasks without manual configuration.

## Agentic payments

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