MCP servers de SQLite

Lets an AI client create, inspect, validate, and save editable 3D building scenes, including walls, rooms, doors, and furnishings.

Lets AI coding agents share source-attributed Markdown memory and retrieve project documentation locally.

Allows AI agents to query and explore over 100 different databases using existing DBCode connections.

Provides a self-hosted intelligence layer for homelab logs, metrics, and AI transcripts using SQLite and FTS5 search.

Allows AI agents to query over 100 different databases using pre-configured connections.

Keeps bulky tool output out of a coding agent's context window by running work in a local sandbox and indexing results in SQLite for on-demand search.

Connect MCP clients to Mindwtr tasks via local SQLite databases, a desktop Local API, or self-hosted Cloud endpoints.

Lets an AI client record and resume working notes, decisions, evidence, and risks using a durable SQLite backend.

Lets AI agents interact with a collaborative whiteboard canvas to draw and visually collaborate.

Enables AI coding agents to navigate codebases by symbol, maintain persistent memory across sessions, and reduce token usage through Bash command rewriting.

Provides persistent, project-aware memory for AI coding agents using a local SQLite database and full-text search.

Provides a local-first runtime for AI agents with sandboxed tool execution, persistent sessions, and credential management.

Enables AI agents to search and read Obsidian vaults using hybrid full-text, fuzzy, semantic, and graph retrieval.

Provides a durable control plane for managing long-running Codex Desktop automation tasks through asynchronous operations and pollable workflows.

Lets an AI build, save, and reopen persistent single-file HTML apps backed by a versioned SQLite store inside MCP-Apps hosts.

Gives Claude Code a persistent local memory that writes its own notes, fades what stops mattering, and briefs itself at session start.

Orchestrates neural network agent swarms using Rust and WebAssembly to assign tasks, manage state, and execute small neural forecasts.

Provides coding agents with inspectable and correctable project memory using git-versioned Markdown files.

Provides long-term persistent memory for AI agents using a local SQLite database with hybrid search capabilities.

Provides runtime observability for AI agents by acting as a transparent proxy to track sessions, costs, and loop execution.

Enables AI clients to query AlphaFold DB and eight other biomedical databases through a local SQLite knowledge graph for structural biology research.

Enables AI agents to query a repository's symbol graph to perform impact analysis, call tracing, and structural audits across Python, TypeScript, and Go.

Gives AI coding agents a shared, searchable project memory that persists across chats, IDEs, and tools.

Gives AI coding agents a local memory layer that surfaces relevant notes, captures decisions, and generates handoffs across sessions.

Gives AI clients accurate Unity API signatures, namespaces, class references, and deprecation warnings for Unity 2022, 2023, and 6.

Provides a persistent memory system for AI assistants to store and recall knowledge using local SQLite or PostgreSQL backends.

Gives AI agents a shared local knowledge graph to store, search, and hand off project context and decisions across sessions.

Gives AI coding agents a shared local knowledge graph to store, search, and coordinate project decisions across sessions and tools.

Provides a local task queue, decision logging, and hybrid memory search for coding agents using SQLite.

Gives AI clients long-term memory with corrections that hold, verifiable subject erasure, and an audit ledger of what the agent knew.

Provides a pre-indexed semantic knowledge graph for AI coding agents to perform efficient code intelligence and impact analysis across 50+ languages.

Enables AI agents and automation to manage high-performance job queues using SQLite or PostgreSQL without requiring Redis.

Provides cross-session memory for AI agents using a local-first SQLite store with automated deduplication, conflict resolution, and Markdown synchronization.

Indexes and searches coding agent sessions from Claude Code, Codex, Copilot, and more to provide agents with searchable past context.

Provides read-only access to Quicken For Mac financial data, allowing AI clients to query transactions, spending, and investment portfolios.

Provides AI agents with a universal memory layer using knowledge graphs, semantic vector search, and automated LLM-powered consolidation.

Stores project decisions and context as a graph so AI agents can recall and continue conversations across sessions.

Gives AI coding tools one local SQLite memory and rules store shared over MCP, REST and CLI, and syncs rules into CLAUDE.md and AGENTS.md.

Maintains a local SQLite record of project decisions, lessons, and constraints so AI agents can maintain context across different sessions.

Enzyme creates a local semantic index of Markdown vaults and SQLite databases to enable pattern discovery and efficient agentic search.

Provides a local structural code graph and context toolkit to help AI coding agents find relevant code and inspect relationships.

Reduces text-to-SQL token usage by selecting only identity-authorized tables for the LLM prompt.

Records your shell history and AI agent sessions locally so an AI client can search commands, failures, risk, and git context over MCP.

Exposes CHAP coordinator methods as MCP tools so an AI agent can create tasks, request reviews, and record human approvals and overrides.

Allows an AI client to search and retrieve transcripts from meetings, dictations, and writing saved by the Transcripted Mac app.

Connects AI clients to multiple database engines by reusing DBeaver connections and providing native driver support.

A local-first message bus that enables independent coding agents on different machines to exchange ordered messages through named channels.

Provides persistent AI memory using hybrid search, temporal knowledge graphs, and automated entity extraction to enhance agent context.

Lets an AI client search Massive.com's financial API endpoints, call them, and run SQL on stored market data.

Provides local-first persistent memory for AI coding agents using SQLite to store decisions, lessons, and project context.