Exa MCP Server
Related Servers
Alternatives to Exa MCP Server
No user-submitted related servers found.
Related Servers
- FlicenseAqualityDmaintenanceA Model Context Protocol server that enables AI assistants like Claude to perform real-time web searches using the Exa AI Search API in a safe and controlled manner.222,768 npm-
- AlicenseBqualityFmaintenanceA server facilitating web search functionality by utilizing Perplexity AI's API, designed to integrate with the Claude desktop client for enhanced search queries.1307MIT
- FlicenseAqualityCmaintenanceEnables AI assistants like Claude to perform web searches using the Exa AI Search API, providing real-time structured search results.16-
- AlicenseBqualityDmaintenanceA server that integrates with Claude Desktop to enable real-time web research capabilities, allowing users to search Google, extract webpage content, and capture screenshots directly from conversations.3999 npmMIT
- AlicenseAqualityCmaintenanceA Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.822,768 npm5,048MIT
- FlicenseBqualityNot gradedmaintenanceA server that allows AI assistants to perform web searches using Perplexity's sonar-deep-research model with citation support.111-
TDQS
Scored across 2 tools
The two tools have clearly distinct purposes: get_code_context_exa is specialized for programming-related searches with high-quality code context, while web_search_exa is a general web search tool for broader queries. There is no overlap in functionality, making it easy for an agent to choose the correct tool based on the query content.
Both tools follow a consistent naming pattern: they use snake_case and start with a verb (get, search) followed by a noun (code_context, web). The pattern is uniform across the set, with no deviations in style or structure.
With only 2 tools, the server feels thin for a general-purpose search domain, as it might lack coverage for intermediate or specialized tasks beyond code and web searches. However, the tools are well-defined, so it's borderline but not severely mismatched.
The server covers two key search domains (code and web), but there are notable gaps: it lacks tools for other common search types (e.g., image, news, academic) or advanced operations like filtering or saving results. This could limit agent effectiveness in broader search scenarios.