Best Knowledge Graph AI Skills & MCP Servers

Project-local RAG memory MCP server — knowledge graph + multilingual vector + FTS5 in a single SQLite file. Per-project isolation, 30 MCP tools, codepoint-safe chunking (Korean/CJK/emoji).

Local-first persistent codebase memory for MCP-enabled coding agents.

RCA infrastructure for AI-built code. Code knowledge graph + opinionated RCA engine, exposed via MCP (Cursor / Claude Code / Cody / Cline / Continue / Windsurf / Zed) plus CLI and library. RCA is the wedge; the same engine covers code review, refactor bla

ContextStream MCP server - v0.4.x with consolidated domain tools (~11 tools, ~75% token reduction). Code context, memory, search, and AI tools.

MCP server for SharedMemory — persistent AI memory for any tool

A Model Context Protocol server for knowledge graphs designed around neurodivergent thinking patterns

A local context graph for AI coding agents.

MCP proxy for Pharaoh — maps codebases into queryable knowledge graphs for AI agents. Enables Claude Code in headless environments (VPS, SSH, CI) via device flow auth.

Turn markdown file trees into navigable, queryable knowledge graphs served via REST and MCP

Graph-powered code intelligence for AI agents. Index any codebase, query via MCP or CLI.

Powerful, self-contained AI context layer. Combines persistent memory, temporal knowledge graph, and hybrid code search into one local engine. Zero cloud, 100% private.

Graph-powered code intelligence for AI agents. Index any codebase, query via MCP or CLI.

HSA - Hierarchical Semantic Analysis MCP Server for AI Code Agents. Token-optimized context engine with BM25+ search, Merkle tree change detection, 84+ built-in library docs, persistent memory, and real-time dashboard.