agent-web-search
Related Servers
Alternatives to agent-web-search
No user-submitted related servers found.
Related Servers
- AlicenseAqualityBmaintenanceEnables AI agents to perform unified web searches, GitHub, and GitLab searches with caching, reranking, and fallback across multiple providers.4176 npm20MIT
- FlicenseNot gradedqualityDmaintenanceA universal web search and content retrieval tool for AI agents, supporting multiple search providers and content extraction.-
- AlicenseAqualityDmaintenanceProvides unified web search across multiple providers (Google, Tavily, DuckDuckGo, Brave) with automatic fallback, maximizing free API quota usage for AI workflows.152 npm7MIT
- FlicenseNot gradedqualityDmaintenanceEnables AI agents to search the web and extract content using multiple search providers, with caching, retry logic, and options for JavaScript-heavy page rendering.-
- AlicenseAqualityDmaintenanceWeb search for AI agents across 6 engines (Serper, Brave, Exa, Tavily, Firecrawl, Perplexity) through one search tool. Routes each query to the cheapest engine that clears a quality bar and caches repeats. Hosted, streamable-HTTP, BYOK supported.11MIT
- AlicenseNot gradedqualityBmaintenanceGives AI assistants keyless web search, news search, and full-page reading tools by querying multiple engines in parallel and returning merged results. It can run locally over stdio or remotely over HTTP for Claude, Cursor, and other agents.3MIT
TDQS
Scored across 1 tool
With only one tool in the set, there is no possibility of confusing it with another tool. Its purpose—semantic web search for natural-language questions—is unambiguous and clearly stated.
The single tool uses a clean snake_case verb_noun name (web_search) that is readable and conventional. No competing conventions exist to create inconsistency.
A search server can legitimately be a one-tool server, so the scope is defensible. However, a single tool is thin for a search surface that could reasonably offer companion operations (e.g., page fetch/retrieval), placing it at the borderline end of the rubric.
Search itself is well covered, including multi-provider fallback and diagnostics, but the lifecycle dead-ends there: an agent getting only snippets has no tool to retrieve or read a specific result page. This is a notable gap an agent must work around.