Nexus-MCP Code Intelligence Server

Example Use Cases

• 1

  Precise, token-efficient code search combining semantic, keyword, and graph-based methods.

• 2

  Understand code structure, call relationships, and change impact locally without cloud dependencies.

• 3

  Persistent semantic memory and token-budgeted responses to optimize context window usage.

Description

Nexus-MCP is a local-first code intelligence server designed for the Model Context Protocol that combines vector search, BM25 keyword search, and structural graph analysis into a single process. It offers token-budgeted responses with three verbosity levels, persistent semantic memory, and multi-folder incremental indexing, enabling AI agents to perform precise and token-efficient code comprehension without cloud dependencies. The server supports 25+ languages and consolidates multiple tools into one, improving search precision, change impact analysis, and code understanding for AI coding agents.