MemPalace/mempalace
MemPalace is an open-source, local-first AI memory system that stores and retrieves conversation history verbatim using semantic search, supporting pluggable backends like ChromaDB and integrating ...
Awesome MCP › Knowledge & Memory
mikechao/brave-search-mcp
Brave Search MCP Server exposes the Brave Search API to MCP clients as a set of distinct search tools rather than one generic endpoint. brave_web_search performs ordinary web search with parameters for result count up to twenty, pagination offset and a freshness filter that restricts results by age. Separate tools cover image search, video search and news search, so a model asks for the media type it needs instead of filtering a mixed result list. A local points-of-interest tool searches physical places — businesses, restaurants and services — which is a different Brave endpoint from web search and returns address and location data. An LLM context search tool goes further than returning links: it fetches the target pages and extracts their readable content, so the model receives text it can synthesise from directly rather than a list of URLs it would have to fetch separately. The server is written in TypeScript and requires a Brave Search API key. Brave operates its own search index rather than reselling another engine, and its API is priced per query with a free tier, which is the usual reason to pick it over alternatives. The audience is anyone building an agent that needs current web information, particularly where separating news, images and place lookups into explicit tools makes the model choose better.
https://github.com/mikechao/brave-search-mcp
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