# MCP Strict Conversion Preflight — Preview (`salim-operator-labs/my-actor-1`) Actor

Review sanitized MCP input-schema metadata before strict conversion. Find open objects, optional fields and reference risks without server access or schema rewriting. Limited static preview; synthetic data only. No creator report fee.

- **URL**: https://apify.com/salim-operator-labs/my-actor-1.md
- **Developed by:** [Operator Labs](https://apify.com/salim-operator-labs) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per usage

This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-usage

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## MCP Strict Conversion Preflight — Preview

Review sanitized MCP tool input schemas before strict conversion. Find open objects, optional fields, unresolved references, reference siblings, compositions and missing array item schemas. Output is a JSON report with tool index, JSON Pointer, finding code and explanation.

This AI-assisted utility performs limited static checks. It does not rewrite schemas, resolve references, contact servers, execute tools, or prove compatibility with any provider or model. No findings means only no findings in these limited checks; it is not full JSON Schema validation.

### Try the invented example

Use the prefilled tools array. The demonstration reports four warnings about open objects and optional fields. Every tool must contain only inputSchema. Maximum 20 tools, 100 schema nodes, depth 20 and 1 MB per report. Unsupported input returns status rejected with a generic reason. No creator event fee is charged for either result.

### Data

Preview: invented, sanitized metadata only. Remove names, descriptions, examples, defaults, credentials, customer payloads and confidential identifiers. Sanitize property names and enum values too; this tool cannot detect every secret. Apify stores run input, output and logs under its platform access/retention settings. Do not submit confidential data. Our code does not log supplied payloads.

### Pricing and limitations

Non-monetized preview: no creator report fee. Apify platform usage may consume your credits; inspect run costs before starting. A future paid version is a hypothesis, not an active offer; platform notice periods apply to price changes, including the observed 14-day conversion delay. No paid availability or runtime success is promised.

### Support

Use this Actor’s Issues for ordinary questions. Include only a run ID and sanitized reproduction. Never post keys or private payloads. The utility is operated with AI assistance by Operator Labs.

# Actor input Schema

## `tools` (type: `array`):

Only sanitized inputSchema metadata. No descriptions, secrets, payloads or server access. Max 20 tools, 100 schema nodes, 1 MB.

## Actor input object example

```json
{
  "tools": [
    {
      "inputSchema": {
        "type": "object",
        "properties": {
          "query": {
            "type": "string"
          },
          "filter": {
            "type": "object",
            "properties": {
              "limit": {
                "type": "integer"
              }
            },
            "required": []
          }
        },
        "required": [
          "query"
        ]
      }
    }
  ]
}
```

# Actor output Schema

## `results` (type: `string`):

No description

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "tools": [
        {
            "inputSchema": {
                "type": "object",
                "properties": {
                    "query": {
                        "type": "string"
                    },
                    "filter": {
                        "type": "object",
                        "properties": {
                            "limit": {
                                "type": "integer"
                            }
                        },
                        "required": []
                    }
                },
                "required": [
                    "query"
                ]
            }
        }
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("salim-operator-labs/my-actor-1").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "tools": [{ "inputSchema": {
                "type": "object",
                "properties": {
                    "query": { "type": "string" },
                    "filter": {
                        "type": "object",
                        "properties": { "limit": { "type": "integer" } },
                        "required": [],
                    },
                },
                "required": ["query"],
            } }] }

# Run the Actor and wait for it to finish
run = client.actor("salim-operator-labs/my-actor-1").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "tools": [
    {
      "inputSchema": {
        "type": "object",
        "properties": {
          "query": {
            "type": "string"
          },
          "filter": {
            "type": "object",
            "properties": {
              "limit": {
                "type": "integer"
              }
            },
            "required": []
          }
        },
        "required": [
          "query"
        ]
      }
    }
  ]
}' |
apify call salim-operator-labs/my-actor-1 --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,salim-operator-labs/my-actor-1"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/WuypDPBquVqhSKO6P/builds/E2I1bCgfI22wvSoG4/openapi.json
