OptimAI Search MCP
OfficialRelated Servers
Alternatives to OptimAI Search MCP
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityBmaintenanceEnables AI agents to perform web search, extraction, and research across multiple provider backends with persistent multi-key rotation and auditable routing. Supports MCP, CLI, and Agent Skill entry points.MIT
- AlicenseNot gradedqualityBmaintenanceEnables AI agents to perform web searches with full content retrieval and multi-engine provenance, including trust scoring and local corpus persistence, via MCP integration.3 npm2Apache 2.0
- AlicenseNot gradedqualityCmaintenanceEnables MCP clients to perform web searches and fetch web pages over HTTP, using Exa and Parallel AI as search providers without requiring API keys.MIT
- AlicenseAqualityBmaintenanceEnables AI agents to perform multi-engine web search, fetch web pages, and extract clean Markdown content via MCP, with no API keys required.38MIT
- FlicenseAqualityCmaintenanceEnables MCP-compatible agents to perform web searches via the agent-web-search engine, returning ranked results with sources.1-
- AlicenseBqualityBmaintenanceEnables AI agents to perform web searches and extract full-text content from web pages via standard MCP tools, with fallback search and semantic reranking.22MIT
TDQS
Scored across 5 tools
The tools optimai_search and optimai_start_search are nearly identical in purpose: both initiate a search and return a search ID if the search is not complete. The only difference is that optimai_search waits briefly for results, but in typical long-running searches, they behave the same. This overlap creates significant ambiguity for an agent deciding which tool to use.
The naming pattern is mostly consistent with the optimai_ prefix and verb_noun structure: get_search, list_searches, cancel_search, start_search. However, optimai_search is a bare verb and does not follow the verb_noun pattern, standing out as a deviation. This is a minor inconsistency but does not severely hinder readability.
Five tools is well-scoped for a search API, covering initiation, retrieval, listing, and cancellation without unnecessary bloat. Each tool serves a distinct lifecycle function, and the count feels appropriate for the domain.
The tool set provides complete lifecycle coverage for asynchronous searches: start a search (start_search, or the combined optimai_search), check status/results (get_search), list past searches (list_searches), and cancel in-progress ones (cancel_search). No important operations are missing, and the composite optimai_search covers the synchronous wait case.