A
licenseA
qualityD
maintenanceProvides tools to access AWS documentation, search for content, and get recommendations for both global and China AWS regions.
3
Apache 2.0
AWS Documentation MCP Server
by hosseinzahed
Related Servers
Alternatives to AWS Documentation MCP Server
No user-submitted related servers found.
Related Servers
- AlicenseBqualityDmaintenanceEnables AI assistants to search for documentation of packages and services, providing implementation details, examples, and specifications through a specialized API.16 npm2MIT
- AlicenseNot gradedqualityDmaintenanceEnables AI assistants to search documentation of packages and services to find implementation details, examples, and specifications.MIT
- AlicenseAqualityDmaintenanceProvides tools for retrieving and processing documentation through vector search, enabling AI assistants to augment their responses with relevant documentation context.76 npm1MIT
- AlicenseBqualityDmaintenanceEnables AI assistants to discover, fetch, and search through Tambo documentation from docs.tambo.co. Provides intelligent content parsing with caching for improved performance when accessing technical documentation.41MIT
- AlicenseNot gradedqualityFmaintenanceEnables AI assistants to enhance their responses with relevant documentation through a semantic vector search, offering tools for managing and processing documentation efficiently.6 npm64MIT
TDQS
A4.4/5.0
Scored across 3 tools
Disambiguation5/5
Each tool has a clearly distinct purpose with no overlap: read_documentation fetches and converts content, recommend provides related page suggestions, and search_documentation performs keyword searches. An agent can easily differentiate between reading existing content, discovering related content, and finding new content via search.
Naming Consistency5/5
All tool names follow a consistent verb_noun pattern (read_documentation, recommend, search_documentation), with 'recommend' being a slight abbreviation but still maintaining the same readable style. The naming is predictable and uniform across the set.
Tool Count3/5
With only 3 tools, the set feels thin for an AWS documentation server, which could benefit from more granular operations like filtering by service or category. However, the tools cover core use cases (read, discover, search), making it borderline but functional for basic documentation access.
Completeness4/5
The tools provide a solid foundation for reading, discovering, and searching AWS documentation, with no dead ends. Minor gaps exist, such as the inability to list available services or filter recommendations by type, but agents can work around these using the existing tools effectively.