The ASO MCP server for the AI you already use
The Applyra MCP server connects App Store and Google Play keyword data to ChatGPT, Claude, Cursor, Codex, VS Code and any other MCP client. Ask what to target and the agent reads your live ranks, scores a keyword, compares you to a competitor, or starts tracking a term. Thirty tools, both stores, no dashboard to open.
ChatGPT
Claude
Cursor
Codex
VS Codeand any MCP clientWhich keywords could my habit tracker realistically rank for?
What an ASO agent answers
Keyword work does not slip because the data is hard to read. It slips because checking it means stopping what you were doing, opening a tab and remembering what you were looking for. Here is what the same four questions look like when the agent can fetch the answer while you stay where you are.
Am I actually gaining on the keywords I care about?
Where do I stand against the apps I track?
Break my category into niches and tell me which one is open.
34 keywords
21 keywords
27 keywords
52 keywords
Who moved in the US productivity chart this week?
- #3Clearlist4
- #6Taskbird0
- #8Dayplan11
- #14Focusly5
Thirty ASO tools, and what each one is for
The App Store and Google Play are covered by the same tools, so a question never has to be asked twice. Your assistant picks the one it needs from the description; you never type a tool name yourself.
Track and rank
Your apps, your keywords, and how their positions move day by day on both stores.
- list_applications
- Every tracked app with store metadata, rating, keyword count and ASO Health
- add_application
- Start tracking an app from its store bundle ID
- list_keywords
- Tracked keywords with current rank, difficulty and traffic
- track_keywords
- Track up to 20 new keywords in one call
- untrack_keyword
- Stop tracking a keyword
- set_keyword_favorite
- Flag the keywords that matter most
- get_keyword_rank_history
- Daily rank evolution over any date range
Research a keyword
Score a term before you spend a release cycle on it, and find the ones you have not thought of.
- inspect_keyword
- Difficulty, traffic, KEI, the top 20 apps and related terms
- list_keyword_inspections
- Everything you have already scored
- run_autocomplete
- What the stores suggest as people type
- list_autocomplete_history
- Past autocomplete queries
- run_niche_analysis
- Cluster a topic into sub-niches with opportunity scores
- list_niche_analyses
- Past niche analyses
Write the listing
Your agent writes the words, our engine scores them. Check a draft against the store rules first, then measure what it would actually be worth.
- get_aso_health
- The full audit of a listing: coverage, targeting, appeal, and what to fix
- check_metadata
- Store limits and forbidden copy, checked instantly on any draft
- simulate_metadata
- Score a listing that does not exist yet, against your current score
- list_metadata_simulations
- Every draft already scored on the account
- get_metadata_simulation
- Re-read one saved draft in full, text included
Notes and events
Note what you did, then measure what followed: your visibility and ranks before and after each note and each app update.
- list_notes
- The notes on your charts
- add_note
- Note a campaign, a metadata change or a launch on its day
- update_note
- Change the text or the day of a note
- delete_note
- Remove a note
- compare_events
- Visibility or a keyword rank before and after each event
Watch competitors
Who sits above you, on what, and whether the gap is closing or opening.
- list_competitors
- Competitor pairs with side-by-side visibility scores
- add_competitor
- Add a rival app by its store bundle ID
- remove_competitor
- Drop a competitor you no longer track
Market and account
The wider store picture, and where you stand against your own plan.
- top_charts
- Top apps by store, country, category and collection, with daily movement
- list_top_chart_categories
- Categories and collections each store supports
- get_app_score_history
- Your visibility score, day by day
- get_account_usage
- Current usage against your plan limits
Connect it in under a minute
Claude adds it in one click from the Claude directory. ChatGPT only needs the server URL: paste it, sign in to Applyra, allow access. Cursor, Codex, VS Code and Windsurf run the open source server through npx: paste the snippet for your client with your API key, and restart it. Nothing to host, nothing to build.
chatgpt.com > Plugins > Add > Create custom MCP server, with OAuthhttps://www.applyra.io/api/mcpThe server you install is MIT licensed and open source, so you can read exactly which endpoints it calls before you install it. The hosted one that ChatGPT and Claude connect to runs the same tools.
Connected? The agentic ASO playbook has the prompts worth pasting first, and the four places an agent will get ASO wrong.
Prefer to drive it yourself? The same data is available through the REST API on the paid plan, with 10,000 requests a month. And if you are still deciding whether an agent belongs in your ASO workflow, the guide to getting your app recommended by ChatGPT covers the other half of the problem.
Questions people ask before connecting
- What is an ASO MCP server?
- MCP, the Model Context Protocol, is an open standard that lets an AI assistant call external tools. An ASO MCP server exposes App Store Optimization data, keyword ranks, difficulty scores, competitor positions, as tools your assistant can call while you talk to it. Instead of opening a dashboard, you ask a question and the assistant fetches the live answer.
- Which AI clients work with the Applyra MCP server?
- Any MCP-compatible client. Claude adds it in one click from the Claude directory, and ChatGPT connects to the hosted server with its URL and a sign-in, so there is nothing to install and no key to copy. Claude Desktop, Claude Code, Cursor, OpenAI Codex, VS Code with GitHub Copilot and Windsurf run the open source server through npx with an API key, and Applyra publishes the setup snippet for each.
- Does the Applyra MCP server work with ChatGPT?
- Yes. On chatgpt.com, open Plugins, add a custom MCP server with the URL https://www.applyra.io/api/mcp and OAuth as the authentication, create it as a plugin, then sign in to Applyra when ChatGPT asks. No API key and nothing to install.
- Is Applyra in the Claude directory?
- Yes. Applyra is listed in the Claude directory: open its listing at claude.ai/directory/applyra, connect it, then sign in to Applyra and allow access. It works in Claude on the web, desktop and mobile, and in Claude Code, with no URL to paste and no API key.
- How many tools does the Applyra MCP server expose?
- Thirty. They cover tracked apps and keywords, rank history, notes on the charts and what followed each one, keyword inspection with difficulty and traffic scores, autocomplete mining, niche clustering, listing audits and metadata simulation, competitor pairs, top charts, and account usage. Both the App Store and Google Play are covered by the same tools.
- What can an AI agent actually do with my ASO data?
- Read your live keyword ranks and their history, score any keyword for difficulty and traffic before you commit to it, cluster a niche into sub-niches with opportunity scores, compare your visibility against tracked competitors, and read top charts movement by store, country and category. It can also start or stop tracking a keyword and add a competitor.
- Do I need a paid plan to use the MCP server?
- Yes. MCP access is part of the paid plan at $9.99 per month: ChatGPT and Claude sign in with your Applyra account, the other clients use your API key. The free plan lets you track an app and five keywords in the dashboard first, so you can see the data before you connect an agent to it.
- Can the agent change my app store listing?
- No. The Applyra MCP server never touches your store listing. It can add or remove things inside your Applyra account, such as tracking a keyword or adding a competitor, and it can read your data. Publishing metadata to App Store Connect or Google Play stays a deliberate step you take yourself.
- Is the Applyra MCP server open source?
- The server you install is: it is MIT licensed and published on npm as @applyra/mcp-server, and it is listed in the official Model Context Protocol registry and on the Glama MCP directory. You can read exactly what it sends and receives before you install it. The hosted server that ChatGPT and Claude connect to runs the same tools.
Put your rankings where you work
Start on the free plan, track your first keywords, then connect the agent when the data is worth asking about.