"NEAR" matching MCP servers:

Interact with the NEAR blockchain through MCP calls

MCP server for districtapi.dev that enables AI assistants to look up US school district and school information by address, name, or ID, including schools near a location.

Enables natural-language semantic search of a project's code through a local vector index, so questions that plain grep cannot match return ranked file:line references. It also indexes or refreshes projects on demand, reports index status, and optionally flags near-identical code across files.

Connects NearIQ competitive intelligence to AI tools like Claude Desktop, Claude Code, Cursor, and Windsurf, enabling queries about competitors, reviews, rank tracking, and more.

Provides AI agents with a live architecture model of a codebase, enabling queries for root cause analysis, blast radius, and dependency traversal through MCP tools.