---
title: "How to use iGaming Intelligence in ChatGPT | Xslot"
description: "Connect the iGaming MCP to ChatGPT, adapt a research prompt and verify citations. Combine industry evidence with web research and your product context."
url: https://xslot.io/intelligence/guide/
language: en
---

[iGaming Intelligence](https://xslot.io/intelligence/)

# Your question. Your context. More industry evidence.

MCP gives ChatGPT tools to search and read our corpus. The model retrieves material for a specific answer and can compare it with web sources and your situation.

## Connect the corpus

- ### Get individual access

Request your own key and agree an access period. It opens the shared corpus, text and available originals. Keep it private; you do not need the owner’s key.

- ### Add the MCP to ChatGPT

In ChatGPT on the web, enable Developer mode if your account supports it. Open Plugins, add an MCP using the endpoint below and choose OAuth. Availability and connection permissions depend on your account and workspace policy.

- ### Authorize search and reading

Enter your key on the Xslot sign-in page and allow ChatGPT to read the corpus. Enter the key only on Xslot; there is no need to paste it into a prompt.

- ### Select iGaming Intelligence for the request

Add the connection from the tools menu or use an @mention. Explicitly name the app when you need fresh retrieval. You can discuss evidence already read in the same conversation.

https://intelligence-mcp.dev.xslot.io/mcp

[Official ChatGPT connection guide](https://developers.openai.com/plugins/deploy/connect-chatgpt)

## Start with the decision you need to make

Specify geography, product stage, platform, audience, objective, budget and constraints. Include launch versus established operation, VIP versus mass market, available PSPs, analysis period and KPIs. Ask for clarification where parameters are unknown.

### Copy and adapt this research prompt

Help me decide: \[question\]. Context: \[geography, product stage, audience, platform, objective/KPIs, budget and constraints\]. Use iGaming Intelligence: retrieve relevant publications and reports with search, then read sources with fetch. Also check current information on the web if web search is available. Compare the evidence with my context. Separate corpus claims, current external evidence, contradictions and your hypotheses. Give options, applicability conditions, risks and a next testable step. Cite the sources you read, page references and dates. Do not treat a Telegram post date as the report date. Do not invent missing data; explain what information is still needed.

## Verify that the corpus was actually used

ChatGPT’s activity should show iGaming Intelligence calls. The answer should cite material it read, and each citation should open the corresponding source or page. A model saying it used the corpus is not sufficient proof. If no calls appear, explicitly request search and fetch and check app selection.

## Explore related material

Open the graph at the bottom of a source page. It displays the current item, search results and automatically detected topics. Change the query to retrieve another selection. Zoom, pan, select topics and open nodes. A link means a textual topic match; it does not confirm a fact or constitute a recommendation.

[Open the corpus](https://intelligence-mcp.dev.xslot.io/explore)

## Common questions

Will every answer automatically use the MCP?

Connecting alone does not guarantee a call. Select iGaming Intelligence and explicitly ask for corpus research. You may keep the template in your project instructions, but checking tool activity remains useful.

Can I combine the corpus with the web?

Yes: ask for both and use a ChatGPT mode with web search available. The corpus provides industry publications and cases; external sources help check freshness. Request separate citations and explanations of contradictions. The model should say if either tool is unavailable.

What does the corpus include?

Imported Telegram archives, selected forwarded publications and available PDF, image and spreadsheet attachments. It is a shared corpus with newly ingested material, not all of Telegram. Older exports reflect their export date.

Does the MCP train ChatGPT on the corpus?

The MCP retrieves text for an answer. Connecting does not itself retrain the model or make it permanently know the full corpus. Data handling depends on your ChatGPT account and settings.

What if search fails or returns nothing?

Refine names, topics and wording; try Russian and English variants. Empty results do not prove absence. For access errors, check the key’s expiry and connection. OCR can misread numbers: verify important values against the original file.

## Structured data

```json
[
  {
    "@context": "https://schema.org",
    "@graph": [
      {
        "@type": "Person",
        "@id": "https://xslot.io/#person",
        "name": "Stanislav Sablin",
        "url": "https://xslot.io/",
        "jobTitle": "Product Lead / COO",
        "sameAs": [
          "https://www.linkedin.com/in/stanislav-sablin/",
          "https://t.me/stas_69"
        ],
        "knowsAbout": [
          "iGaming",
          "Product management",
          "Payments",
          "Retention",
          "CRM"
        ],
        "email": "mailto:fivetowers66@gmail.com"
      },
      {
        "@type": "WebSite",
        "@id": "https://xslot.io/#website",
        "url": "https://xslot.io/",
        "name": "XSlot",
        "inLanguage": [
          "en",
          "ru"
        ],
        "publisher": {
          "@id": "https://xslot.io/#person"
        }
      },
      {
        "@type": "WebPage",
        "url": "https://xslot.io/intelligence/guide/",
        "name": "How to use iGaming Intelligence in ChatGPT | Xslot",
        "description": "Connect the iGaming MCP to ChatGPT, adapt a research prompt and verify citations. Combine industry evidence with web research and your product context.",
        "inLanguage": "en",
        "mainEntity": {
          "@id": "https://xslot.io/#person"
        },
        "isPartOf": {
          "@id": "https://xslot.io/#website"
        }
      }
    ]
  },
  {
    "@context": "https://schema.org",
    "@type": "BreadcrumbList",
    "itemListElement": [
      {
        "@type": "ListItem",
        "position": 1,
        "name": "Xslot",
        "item": "https://xslot.io/"
      },
      {
        "@type": "ListItem",
        "position": 2,
        "name": "iGaming Intelligence",
        "item": "https://xslot.io/intelligence/"
      },
      {
        "@type": "ListItem",
        "position": 3,
        "name": "Connect the corpus",
        "item": "https://xslot.io/intelligence/guide/"
      }
    ]
  }
]
```