Local-first Apple Health MCP server. Lets AI assistants answer questions about your sleep, workouts, activity and heart data from a local export.

Multi-tenant file authorization middleware and lifecycle for Postgres: a single decision point for public and private files, revocable URLs, delegated share links and a hash-chained audit trail.

Token conscious database MCP server for Postgres, MySQL, SQL Server, Oracle, MariaDB, SQLite.

Open-source desktop SQL workspace with 3 built-in database drivers and 26 shipped driver plugins, including SQL Server, DuckDB, ClickHouse and Redis. Built-in MCP server for Claude, Cursor and Devin, SQL notebooks and visual EXPLAIN.

The official Pinecone marketplace for Claude Code Plugins

把对话里说过的重要事情，变成持续可跟进的计划。 为 deepseek-harness 打造的个人助手：从对话中整理事项、跟踪变化，并在需要时提醒你。

A Claude Code plugin that gives Claude persistent memory across sessions — stores lessons and decisions as markdown in your Obsidian vault, searches them with SQLite FTS5, and mines past transcripts automatically.

Context-Engine MCP - Agentic Context Compression Suite

Daymon puts your favorite AI to work 24/7. It schedules, remembers, and orchestrates your own virtual team. Free.

Real-time execution trace and cost intelligence for Claude Code

Instant SECURE Full Stack Apps and AI Agents

When the user wants help with revenue operations, lead lifecycle management, or marketing-to-sales handoff processes. Also use when the user mentions 'RevOps,' 'revenue operations,' 'lead scoring,' 'outbound pipeline stages,' 'lead routing,' 'MQL,' 'SQL,' 'pipeline stages,' 'deal desk,' 'CRM automat

Guides and best practices for working with Lakebase Postgres on Neon: connections, pooled vs direct, schema migrations, branching, autoscaling, scale-to-zero, instant restore, read replicas, IP allow lists, logical replication, and Lakebase Search. Use when the work is an existing DATABASE_URL, SQL,

Use when the user wants to provision infrastructure or third-party services using Stripe Projects. Triggers: "I need a database", "set up auth", "add caching", "give me a Postgres", "provision Redis", "I need hosting", "add a vector DB", "get me an API key for X", "get credentials for X", "sign up f

Connect your AI assistants to Keboola and expose your data, transformations, SQL queries, ...

S3-compatible object storage that branches with your database, so each branch gets its own copy of the files and the rows that point at them. Use when a user wants object storage, a bucket, blob/file storage, or somewhere to put uploads, images, documents, avatars, or user-generated files for their

Newsletters where you pay for the emails you send, not for dormant subscribers, at a fraction of the price of beehiiv and the like. Open source: self-host it, or use mailcheap.ai.

MCP server for PostgreSQL: local, Docker, RDS, Neon, Supabase, or behind an SSH bastion.

A powerful multi-database server implementing the Model Context Protocol (MCP) to provide AI assistants with structured access to databases.

Enables AI assistants to read and write a local-first SQLite memory vault from inside a chat — orienting on inherited context, searching and fetching past decisions and notes, wandering linked memories, and recording new ones on demand. All data stays on the user's machine, shared across local and cloud tools via MCP.

Scaffold the build engine AIs reach for — a real site with design, and when you want them, database and backend, live in minutes. Plain websites (--profile site), webshops and agent storefronts; MIT, you own the code.

Enables AI assistants to inspect PostgreSQL schemas and table metadata, preview SELECT queries with capped rows, and receive write or DDL statements for manual review without execution.

Enables an AI assistant to query Plaid-synced bank data stored locally in SQLite — balances, transactions, spending, cash flow, recurring charges, and liabilities — plus bounded read-only SQL and local CSV/JSON exports, all over local stdio with no hosted service or listening port.

Exposes a governed dbt MetricFlow semantic layer to AI agents through three tools — list metrics, list dimensions and query metrics — so questions about federal contract spend are answered from defined metrics rather than raw tables. Guardrails reject undefined metrics, raw columns, SQL in filters and bulk exports, and no tool can execute SQL.