"Discover" matching MCP servers:

Enables MCP clients to discover and use an AI-KIDO knowledge base via literal, regex, and local semantic search, document/resource access, embedding generation, and index management. It also provides scoped file and Git operations for a separate writable project/fork while keeping the standard base protected.

Enables venues to discover taste-matched acts and artists or agents to find fitting rooms and cities through Qloo's taste graph. It exposes booking-focused tools for agent use over a remote MCP endpoint.

Enables MCP clients to discover, list, and call browser-demo tools for SQL-like queries, vector and hybrid search, agent memory, and evidence-ledger operations over a stateless HTTP endpoint.

An unofficial MCP server that provides semantic search capabilities for Hugging Face models and datasets, enabling Claude and other MCP-compatible clients to search, discover, and explore the Hugging Face ecosystem using natural language queries.

Enables AI assistants to discover and use MCP tools for saving and retrieving code snippets, semantic vector search, code style guide generation, and deep wiki documentation through multi-agent orchestration.