RankForge × MCP

Your RankForge data — right in your AI assistant

Positions, visibility, ratings and campaigns are now available directly in AI tools that support MCP. Ask in plain language — the assistant pulls the data from RankForge, structures the result and helps you make sense of how your promotion is moving.

What you can analyse

One request — and your data is at hand

The assistant works with the same metrics you see in RankForge and puts them together into a ready answer.

01

Positions and visibility

Trends across every tracked search term: which keywords are growing, which are slipping, and where attention is needed.

02

Campaigns and budgets

Campaign analysis for any period: installs, spend, position trends and performance by search term.

03

Promotion strategy

Recommendations: what to hold, what to push, where to revisit the budget or stop launches that are not paying off.

Ready-made prompts to start with

Copy one and adapt it to your app

Replace the store_id, platform, country and period — the assistant will gather the rest.

1 Position forecast

Where are positions heading?

Forecast the positions of the app (store_id [ID], [platform], [country]) for 30 and 90 days under the current strategy and if campaigns stop. Present it as a dashboard with a chart, and flag the search terms at risk.
2 Visibility trends

How have positions changed?

Show how the positions and visibility of the app (store_id [ID], [platform], [country]) changed over [period]. For each search term — the position at the start and now, the trend, and how many search terms entered or dropped out of the top 3 and top 10. Finish with a short conclusion on the visibility trend.
3 Planning

What should we launch this month?

Draw up a month's campaign plan for the app (store_id [ID], [platform], [country]) based on its history. For each search term give the action (hold / grow / test / revisit), the price per position and the weekly budget.
4 Portfolio overview

Every search term on one screen

Show every search term of the app (store_id [ID], [platform], [country]) as cards: position, trend, budget and price per position for each. Make it an interactive dashboard with sortable cards.
Connect in 4 steps

How to connect the RankForge MCP server

You connect it in the settings of any AI tool that supports MCP or external integrations.

1

Find the MCP or Connectors section

Open your AI assistant's settings and find where external tools are connected — it may be called MCP, Connectors, Integrations, Tools or Apps.

2

Add a new server

Create a new connection and add the RankForge MCP server. Use the MCP Server URL https://mcp.rankforge.com/.

3

Sign in with RankForge

Once the server is added, a sign-in window opens in your browser. Log in to your RankForge account and confirm access to your data.

4

Go back to the chat and start

The assistant now has access to your account's data. Ask about your apps, campaigns and search terms in your own words.

In ChatGPT, MCP support depends on the client version, account type and which integrations are available. If custom MCP is not available there, you can connect the MCP server directly in Claude Desktop.

Need help connecting?

Write to support — we will help you get set up, connect the MCP server and work through your first requests to the AI.