metabase-ai-assistant

dbhub

Zero-dependency, token-efficient database MCP server for Postgres, MySQL, SQL Server, MariaDB, SQLite.

3.3K stars

supabase

Connect to your Supabase database to query data and schemas.

58 stars

postgres

Connect to your PostgreSQL database to query data and schemas.

58 stars

explore

Read-only code explorer that the plugin's other agents dispatch to map a codebase — locate files, trace how a flow is wired, find every caller of a symbol, answer "where does X happen".

32.8K stars

scan-verifier

Restricted read-only verifier dispatched by the Claude Security scan workflow to vote on one candidate finding; not for direct invocation.

32.8K stars

scan-researcher

Restricted read-only vulnerability researcher dispatched by the Claude Security scan workflow; not for direct invocation or general exploration.

32.8K stars

receipts

A personal Claude Code impact report for justifying your usage to a manager or a self-review: what you shipped, which projects it went to, and each project's share of your usage. Reads your ~/.claude/projects transcripts and runs read-only git locally; only counts and project names are sent to write

32.8K stars

atomic-agents

Comprehensive development workflow for building AI agents with the Atomic Agents framework. Includes specialized agents for schema design, architecture planning, code review, and tool development. Features guided workflows, progressive-disclosure skills, and best practice validation.

6.1K stars

databases-on-aws

Expert database guidance for the AWS database portfolio. Design schemas, execute queries, handle migrations, and choose the right database for your workload.

844 stars

altimate

Delegate a task to altimate-code, the specialised data-engineering CLI agent (warehouse access, column-level lineage, cross-DB, FinOps, query optimization)

windsor-types

Generate TypeScript type definitions for a Windsor.ai connector's data schema

design-survey

Interactive design session for a new survey — research goal, audience, hypotheses, questions, modality, output schema

create-atomic-tool

Build a `BaseTool[InSchema, OutSchema]` subclass — input/output schemas, `BaseToolConfig`, `run()` (and optional `run_async()`), env-driven secrets, typed failure outputs. Use when the user asks to "add a tool", "create a tool", "wrap an API as a tool", "build a `BaseTool`", "make a calculator/searc

6.1K stars

create-atomic-context-provider

Build a `BaseDynamicContextProvider` that injects a named, titled block into an agent's system prompt at every `run()` — current time, user identity, retrieved RAG docs, session state, cached DB schema. Use when the user asks to "add a context provider", "inject X into the prompt", "give the agent d

6.1K stars

framework

Guide for the Atomic Agents Python framework — schemas, agents, tools, context providers, prompts, orchestration, and provider configuration. Use when code imports from `atomic_agents`, defines an `AtomicAgent`, `BaseTool`, or `BaseIOSchema`, or the user asks about multi-agent orchestration or LLM-p

6.1K stars

PostToolUse (mcp__.*__find_columns|mcp__.*__get_dataset_columns|mcp__.*__get_dataset)

Pre-query column validation via schema caching. Catches unknown column errors before they hit the API by building a per-session schema cache from find_columns / get_dataset_columns / get_dataset results.

PreToolUse (mcp__.*__run_query)

Pre-query column validation via schema caching. Catches unknown column errors before they hit the API by building a per-session schema cache from find_columns / get_dataset_columns / get_dataset results.