Search History MCP Server
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Alternatives to Search History MCP Server
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Related Servers
- AlicenseAqualityDmaintenanceEnables AI assistants to query your local browsing history using keyword search, RAG Q&A, and activity stats.6MIT

blackmount-mcpofficial
AlicenseNot gradedqualityAmaintenanceEnables AI assistants to access and search local browser history, bookmarks, open tabs, and downloads for personalized context.MIT- FlicenseNot gradedqualityDmaintenanceEnables AI assistants to search and analyze Chrome browser history and bookmarks data locally, including keyword searches, date range filtering, recent browsing activity, and usage statistics across all platforms.2-
- FlicenseNot gradedqualityDmaintenanceProvides AI assistants access to browser history from SQLite databases, enabling reading and analysis of the last 100 visited URLs.-
- AlicenseNot gradedqualityAmaintenanceEnables semantic search across your local AI conversation history (ChatGPT, Claude, etc.) and provides tools to retrieve context, capture thoughts, and get profile summaries.65AGPL 3.0
- AlicenseNot gradedqualityBmaintenanceEnables AI assistants to semantically search your entire local conversation history from Claude Desktop, ChatGPT and Claude Code, and to retrieve, browse, ingest and report on those conversations. All embeddings run locally, so no cloud, API keys, or data leave your machine.1MIT
TDQS
Scored across 3 tools
Each tool has a clearly distinct purpose: get_most_visited retrieves frequently visited sites by visit count, get_recent_history retrieves entries by recency, and search_history performs keyword searches. There is no overlap in functionality, making tool selection unambiguous for an agent.
All tool names follow a consistent verb_noun pattern (get_most_visited, get_recent_history, search_history) using snake_case throughout. The naming is predictable and readable, with no deviations in style or convention.
Three tools are reasonable for a search history server, covering core use cases: frequency analysis, recency retrieval, and search. However, it feels slightly thin as it lacks tools for operations like deleting history or getting specific entries by ID, which could enhance completeness.
The tools cover basic querying (frequency, recency, search) but lack update or delete operations, which are common in history management. There is no tool for getting a specific entry by URL or ID, creating potential dead ends for agents needing precise retrieval beyond search.