SearchAtlas
by Various
SearchAtlas — indexed from awesome-mcp-servers-punkpeye
MCP
SearchAtlas
Added 1 June 2026
Overview
SearchAtlas is a Model Context Protocol (MCP) server that provides search capabilities for AI agents. It is listed in the awesome-mcp-servers collection and implemented in HTML, likely serving a lightweight interface or documentation.
Best for
Best for
Developers exploring MCP-based search integrations or building early prototypes
Use cases
- Integrating web search into LLM-powered agents
- Enabling MCP-compatible tools to fetch real-time search results
- Prototyping search-augmented AI applications
How to use
Install
npx searchatlas-mcp-server login Tools exposed
SEARCHATLAS_TOKENSEARCHATLAS_API_KEYSEARCHATLAS_API_URL
Tested with
Claude Desktop, Claude Code, Cursor, Windsurf, VS Code
Notes
SearchAtlas is a Model Context Protocol (MCP) server that provides search capabilities for AI agents. It is listed in the awesome-mcp-servers collection and implemented in HTML, likely serving a lightweight interface or documentation.
1 stars on GitHub. Last updated 2026-04-24. Licensed MIT.
Use cases
- Integrating web search into LLM-powered agents
- Enabling MCP-compatible tools to fetch real-time search results
- Prototyping search-augmented AI applications
Pros
- Follows the MCP standard for easy integration with AI clients
- Lightweight and simple, ideal for experimentation
- Listed in a curated collection of MCP servers
Cons
- Very low community adoption (1 star) indicates limited use or maturity
- Implementation in HTML suggests it may not be a full server but a static example
- No details on supported search sources or features
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Follows the MCP standard for easy integration with AI clients
- Lightweight and simple, ideal for experimentation
- Listed in a curated collection of MCP servers
Cons
- Very low community adoption (1 star) indicates limited use or maturity
- Implementation in HTML suggests it may not be a full server but a static example
- No details on supported search sources or features
Open-source & AI alternatives
Swap-in tools that solve the same job. Weigh the trade-offs before you commit.
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