GetAppNiche MCP
Enables AI agents to query live App Store and Google Play data, including app search, revenue/download metrics, keyword difficulty, and reviews, via a hosted MCP server with API-key authentication.
README
GetAppNiche MCP — App Store & Google Play intelligence for AI agents
The Model Context Protocol surface of GetAppNiche: live App Store & Google Play data — app discovery with revenue & download data, ASO keyword scoring, historical metrics and review feeds — for Claude, Cursor, Codex, Gemini CLI and any other MCP-capable agent.
You probably don't need to run anything. The server is hosted:
https://api.getappniche.com/mcp Streamable HTTP · JSON-RPC 2.0
Authorization: Bearer YOUR_API_KEY app.getappniche.com → Settings → API Keys
Setup per client
Claude Code — one command, no restart:
claude mcp add --transport http getappniche https://api.getappniche.com/mcp \
--header "Authorization: Bearer YOUR_API_KEY"
Cursor — .cursor/mcp.json (project) or ~/.cursor/mcp.json (global):
{
"mcpServers": {
"getappniche": {
"url": "https://api.getappniche.com/mcp",
"headers": { "Authorization": "Bearer YOUR_API_KEY" }
}
}
}
Claude Desktop — claude_desktop_config.json, then restart the app fully:
{
"mcpServers": {
"getappniche": {
"command": "npx",
"args": ["-y", "@getappniche/mcp"],
"env": { "GETAPPNICHE_API_KEY": "YOUR_API_KEY" }
}
}
}
VS Code (Copilot agent mode) — .vscode/mcp.json:
{
"servers": {
"getappniche": {
"type": "http",
"url": "https://api.getappniche.com/mcp",
"headers": { "Authorization": "Bearer YOUR_API_KEY" }
}
}
}
Windsurf — ~/.codeium/windsurf/mcp_config.json (the field is serverUrl):
{
"mcpServers": {
"getappniche": {
"serverUrl": "https://api.getappniche.com/mcp",
"headers": { "Authorization": "Bearer YOUR_API_KEY" }
}
}
}
Codex CLI — ~/.codex/config.toml, then export GETAPPNICHE_API_KEY:
[mcp_servers.getappniche]
url = "https://api.getappniche.com/mcp"
bearer_token_env_var = "GETAPPNICHE_API_KEY"
Gemini CLI — ~/.gemini/settings.json (the field is httpUrl):
{
"mcpServers": {
"getappniche": {
"httpUrl": "https://api.getappniche.com/mcp",
"headers": { "Authorization": "Bearer YOUR_API_KEY" }
}
}
}
Zed, Cline, Continue and JetBrains AI are covered too —
getappniche.com/mcp has every snippet.
Companion agent skills:
getappniche/aso-skills
(npx skills add getappniche/aso-skills).
ChatGPT — Settings → Connectors → create a custom connector (Developer
mode), point it at https://api.getappniche.com/mcp and pick API key
authentication, then paste your key.
claude.ai on the web documents request-header auth, but its connector UI currently exposes only OAuth fields — until that settles, use one of the clients above.
What's in this repo
A zero-dependency stdio bridge for clients that speak MCP over stdio and
can't send HTTP headers — in two flavours: bin/cli.mjs (Node 18+, published as
@getappniche/mcp) and
server.py (Python 3.9+, stdlib only). Both forward every JSON-RPC message to
the hosted endpoint over TLS and stream responses back.
# Node — one-liner, no install
GETAPPNICHE_API_KEY="getappniche_..." npx -y @getappniche/mcp
# Python — no dependencies
GETAPPNICHE_API_KEY="getappniche_..." python3 server.py
Claude Desktop (claude_desktop_config.json):
{
"mcpServers": {
"getappniche": {
"command": "npx",
"args": ["-y", "@getappniche/mcp"],
"env": { "GETAPPNICHE_API_KEY": "getappniche_..." }
}
}
}
server.json is the manifest published to the
official MCP registry as
com.getappniche/mcp.
Being ~150 readable lines, it doubles as a reference for what travels over the
wire: your API key goes only into the Authorization header of TLS requests
to api.getappniche.com — nothing else, nowhere else.
Tools
search_apps- Search apps across 25+ filters: store, categories, languages, price model, rating, reviews, downloads, revenue, release and update recency, review growth - sorted by any column (1 credit)get_app_detail- Get one app by canonical id, bare Apple id, Android package name, or a pasted store URL (1 credit)get_app_historicals- Metric time series: reviews, ratings, downloads, revenue (1 credit)get_keyword_difficulty- Popularity, difficulty, traffic and opportunity for a keyword (10 credits)batch_keyword_difficulty- Score up to 10 keywords, sorted by opportunity (10 credits per keyword)get_app_reviews- Live App Store or Google Play reviews for any app by id, package name or URL, or enriched rows for apps monitored in your workspace (1 credit)get_supported_countries- List valid store country codes (free)
Credits ship with a GetAppNiche plan (Pro: 5,000/month) and every result reports
credits_charged. Rate limit: 60 requests/minute per key.
Protocol notes
- Methods:
initialize→notifications/initialized→tools/list/tools/call. Protocol errors use standard JSON-RPC codes; tool-level errors (bad id, out of credits) come back as tool results your agent can read. - The bridge honours
Mcp-Session-Idand accepts both JSON and SSE-framed responses. - OAuth for clients whose connector UI can't set headers (claude.ai web) is in progress; ChatGPT connects today with API-key auth.
License
MIT. Built by GetAppNiche · X @getappniche · LinkedIn
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。