"Local MCP servers for self-hosted AI assistants" matching MCP servers:

Enables developers to interact with self-hosted Supabase instances, providing database introspection, migration management, auth user operations, storage management, and TypeScript type generation directly from MCP-compatible development environments.

Give Claude direct access to your AWS account, SSH into your servers, run shell commands on your laptop, query your databases, and manage PM2 processes — all from a Claude chat. No Claude Code subscription needed. Your keys never leave your machine.

Enables interaction with self-hosted LLM models via Ollama and Supabase database operations. Supports text generation, SQL queries, and data storage/retrieval through natural language commands.

A Model Context Protocol server that enables interaction with self-hosted Supabase instances, allowing developers to query database schemas, manage migrations, inspect statistics, and interact with Supabase features directly from MCP-compatible development environments.

A protocol server that enables interaction with self-hosted Supabase instances directly from development environments, allowing database introspection, management of migrations, auth users, and storage through MCP clients like IDE extensions.

An MCP server providing direct programmatic access to Obsidian vaults through CouchDB, the database used by Obsidian LiveSync. It enables AI agents to read, write, and manage notes and metadata in headless environments without requiring the Obsidian desktop app.

Self-healing MCP server that monitors database schema changes, detects differences, and automatically updates ontology mappings using AI to ensure agents continue working without manual intervention.

Enables comprehensive management of self-hosted or cloud Supabase instances with 54+ tools for database operations, authentication, storage, real-time subscriptions, migrations, and monitoring through MCP protocol.

Enables comprehensive management of self-hosted or cloud Supabase instances with 54+ tools for database operations, authentication, storage, real-time subscriptions, migrations, monitoring, and security auditing.

A local development MCP server that exposes MySQL databases to VSCode and Copilot CLI with read-only SELECT queries and INSERT/UPDATE operations. It provides secure, schema-specific database access for development environments only.

our ChatGPT and Claude chat history in one local SQLite file, imported from their data exports. Read-only tools to search and read past conversations; no network.

Enables local-first personal finance management through deterministic tools for importing, categorizing, and analyzing bank transactions.

Enables Claude to fully manage self-hosted Supabase instances, covering authentication, database, storage, edge functions, and more.

This project builds a read-only MCP server. For full read, write, update, delete, and action capabilities and a simplified setup, check out our free CData MCP Server for Reckon Accounts Hosted (beta): https://www.cdata.com/download/download.aspx?sku=KHZK-V&type=beta

Enables AI assistants to discover and invoke filesystem, notes, SQLite, and utility operations over MCP, with a local-first sandbox and dashboard for testing and management.

Enables agents to inspect and synchronize local macOS QQ data snapshots, with read-only access to contacts, conversations, messages, search, changes, exports, full tables/datasets, media assets, and favorites via MCP tools.

Enables natural language data queries with statistical rigor and a semantic layer, supporting 23+ analytical tools for product analytics.

Enables MCP clients to execute SELECT-only SQL against a music-store schema with statement timeouts, guardrails, and retry/reflection support.

MCP server that connects AI assistants to Redash, enabling listing of assets, read-only query execution, dashboard inspection, and alert management through the Redash API.

Enables AI agents to keep durable long-term memory on the user's own machine, writing sessions and messages into a local SQLite database and retrieving them via keyword, exact, or optional semantic search with surrounding context. Runs entirely offline over stdio, so no cloud service or API key is required to give an agent recall across sessions.

Exposes your local machine's filesystem, git, shell, network, databases, and system to any MCP-compatible LLM client over HTTP.

A read-only MCP server that lets AI search and read both sides of a user's own LINE Desktop chat history on macOS using local database snapshots, without needing a LINE Official Account or altering unread state.

A TypeScript MCP server that provides secure, read-only access to a locally hosted MySQL database for AI-agent workflows, with configurable policies and support for multiple MCP clients.

Enables direct interaction with local WordPress development sites through Local by Flywheel database connections. Provides read-only access to WordPress data including posts, users, options, and custom queries for development and analysis.

MCP server providing WP-CLI, MySQL, and filesystem access for Local by Flywheel WordPress sites, enabling direct management without HTTP endpoints.

TypeScript stdio MCP server for operating Docker-based local-ydb deployments from AI coding agents. Supports local and SSH-backed profiles, bootstrap, diagnostics, auth hardening, schema permissions, storage workflows, dump/restore, upgrades, and plan-first mutating operations.

Local-first Garmin data warehouse with an analysis-grade MCP server. Sync once, analyze forever, even when the API is down.

A read-only MCP server that lets LLMs explore and query local SAS datasets (.sas7bdat / .xpt) without Viya, network, or SAS licensing. It exposes tools for listing, metadata inspection, summarization, frequency tables, value-label decoding, paginated reads, DuckDB SQL joins, and cross-dataset variable search.

A read-only MCP server that enables searching and extracting to-dos from local macOS WeChat chat databases. It decrypts and queries local WeChat data without sending messages or modifying databases.

Gives an LLM a secure local workspace where it can write files, execute Python in a locked-down Docker container with no network access, and run read-only SQLite queries. Lets the model run, debug, and fix its own code without risking the host machine.