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+0 stars in the last 30 days
- Fewer contributors than 91% of the projects we track
Project history
Daily GitHub snapshots since Oct 7, 2026. History covers stars and forks; health signals are not tracked historically.
Stars
15Forks
3Change since Nov 12, 2026: 0 stars·0 forks
Overview
alsoasked-mcp is a Model Context Protocol server that exposes AlsoAsked’s People Also Ask data to compatible AI assistants. It helps turn search terms into structured question hierarchies that can inform keyword research and content planning.
It is most useful when you want an assistant to retrieve PAA data as part of a research conversation rather than querying the API directly. The server also provides a tool for checking account credits and status.
Key Features
- Search PAA questions for one or more terms.
- Retrieve nested question hierarchies with configurable depth.
- Set language and region for market-specific searches.
- Choose between fresh and cached results.
- Optionally process searches asynchronously.
- Search a single term through a convenience tool.
- Check AlsoAsked account information and remaining credits.
Use Cases
- SEO specialists can discover related questions when researching a keyword or planning a content brief.
- Content strategists can compare question themes across search terms and identify topics to address.
- Teams working across markets can research PAA results using language and region settings.
- Developers can connect AlsoAsked data to an MCP-compatible assistant without building a separate integration.
Getting Started
Install the dependencies:
npm install
The server requires an AlsoAsked API key. See the README for build, configuration, and usage details.
Considerations
- Use requires an AlsoAsked API key and an MCP-compatible client configured to launch the server.
- Searches depend on the external AlsoAsked API, so availability and usage costs are governed by that service. The README notes that query costs can vary and recommends choosing depth with cost in mind.
- The repository has 15 stars and 3 forks in the supplied metadata. This is a small project, so review its implementation and fit before relying on it in a critical workflow.
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