An MCP server that transforms codebases into knowledge graphs using Neo4J, enabling AI assistants to understand code structure, relationships, and metrics for more context-aware assistance.
Provides advanced document search and processing capabilities through vector stores, including PDF processing, semantic search, web search integration, and file operations. Enables users to create searchable document collections and retrieve relevant information using natural language queries.
Enables web search via Serper API with advanced search operators and webpage scraping capabilities to extract content in plain text or markdown format.
Self-hosted AI Agent Memory + Code Intelligence Platform providing persistent memory, AST-aware code search, and quality enforcement via a single MCP endpoint.
Persistent, auditable memory for AI agents. Hybrid BM25 + vector recall
with 18 MCP tools, adaptive block metadata (A-MEM), intent-aware routing,
contradiction detection, and governance workflows. Zero external
dependencies. Drop-in memory for Claude Code and any MCP-compatible agent.
Cross-agent memory bridge for AI coding assistants. Persistent knowledge graph shared across 10 IDEs (Cursor, Windsurf, Claude Code, Codex, Copilot, Kiro, Antigravity, OpenCode, Trae, Gemini CLI) via MCP. 22 tools including team collaboration, auto-cleanup, mini-skills, session management, and workspace sync. 100% local, zero API keys required.