Brave Search MCP: The Brave Search MCP server is part of the official Model Context Protocol reference implementations. It gives AI agents real-time web search via the Brave Search API, enabling access to current news, facts, and web content that the model's training data doesn't cover. A foundational MCP integration for any agent requiring up-to-date information retrieval.; coco-search: CocoSearch is a local-first hybrid semantic code search tool that combines vector similarity and keyword matching via RRF fusion. It uses CocoIndex for indexing, Tree-sitter for syntax-aware chunking, and PostgreSQL with pgvector for storage. It supports 32 languages, 9 grammars, dependency graphs, cross-repo search, and multiple interfaces.
Giving AI agents access to current events, news, and web data beyond training cutoff
Exploratory/semantic queries about code functionality