Best Sqlite AI Skills & MCP Servers

A Jira-like project tracker MCP server for AI agents. SQLite-backed, per-project scoped, with full hierarchy (Projects > Epics > Tasks > Subtasks), activity logging, and a dashboard — so LLMs never lose track.

Model-agnostic code memory MCP server. Budget-aware graph retrieval for AI agents — sub-millisecond queries, token budgeting, no embeddings, no API keys. Built on CodeGraphContext for 155-language tree-sitter indexing.

Gnosys — Persistent Memory for AI Agents. Sandbox-first runtime, central SQLite brain, federated search, Dream Mode, Web Knowledge Base, Obsidian export.

MCP server for AI coding agent terminal-to-terminal communication. Local-first, SQLite-backed, webhook-integrated.

MeMesh — Local memory for Claude Code and MCP coding agents. One SQLite file, zero cloud required.

Persistent memory and agent lifecycle for Claude Code — because sessions shouldn't start from zero.

Structural intelligence layer for AI coding tools. Indexes your codebase into SQLite — routes, models, import graph, blast radius, domains — and exposes 16 MCP tools for Kiro, Cursor, and Claude.

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).

Lightweight local memory layer for AI assistants — MCP server + HTTP API + CLI, backed by SQLite + FTS5. Works with Claude, Cursor, and Codex.

Read-only Model Context Protocol server for Vetroscope — gives LLMs context on your tracked time, projects, and goals from your local Vetroscope SQLite database.

MCP server for indexing and searching codebases with keyword + semantic search. Works with Claude, Cursor, Windsurf, Antigravity.

MCP server that proxies all agent actions, classifies risk, enforces natural-language policies, and logs to a local SQLite audit DB with a live dashboard.

Model Context Protocol (MCP) server for SQLite database operations

Local-first MCP server for cross-agent AI memory. One SQLite + FTS5 corpus across Claude Code, Cowork, Cursor, Continue, Zed, Obsidian, and Telegram — passively captured, verbatim, searchable from any MCP-compatible client.

MCP server: persistent memory, compaction, semantic recall (Node.js port)

🐉 Wyrm — the memory layer that makes AI assistants remember, learn from failures, execute long-running goals, and federate across every session. MCP server with 126 tools across persistent memory, counter-pattern blocking, OODA agent loop, knowledge grap

MCP-first SKILL.md routing for AI agents: local embeddings, SQLite sessions and telemetry, optional LLM rerank paths, regex route policies and project overlays, companion conversation preset, parity CLI.

Persistent project memory for AI coding agents — semantic search, AST-aware chunking, dependency graphs, and conversation history

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.

SQLite MCP Server - 统一权限控制

MCP server for Memento persistent memory system. Server name: memento. Tools: mem_*. Includes AI skill for teaching agents.

SQLite MCP server