MCP Servers for CS Experimentation Workshop - 5-minute magic for rapid prototyping
MCP Workshop Servers becomes available to MCP clients through the mcp workshop servers mcp server. MCP Servers for CS Experimentation Workshop - 5-minute magic for rapid prototyping.
This project implements a comprehensive Model Context Protocol (MCP) server ecosystem designed specifically for rapid CS experimentation. Built for Mac Studio M3 Ultra optimization, it provides seamless integration between AI assistants and development tools.
Once connected, the assistant can call these 8 tools directly:
Sub-5 — minute Setup**: From zero to fully configured development environmentMulti — Tier Architecture**: Essential, database, and AI collaboration serversAPI — RESTful API with authentication and docsMobile — React Native cross-platform templateRedis — Caching, sessions, and real-time data structuresMongoDB — Document store with Atlas integrationNeo4j — Graph database for relationship-heavy experimentsKubernetes — Service orchestration and deploymentSetup follows the standard MCP pattern: clone or install the server, then register it in your client's configuration file and restart the client. The configuration snippets on this page cover Claude Desktop, Claude Code and Cursor.
Before the server will start you need to supply 2 environment variables: GITHUB_TOKEN, WORKSHOP_MODE. Keep credentials in your client's env block or a secrets manager rather than committing them.
Database servers turn schema archaeology and ad-hoc reporting into conversation, which is why they tend to be the second or third server people install. MCP Workshop Servers sits in that group, and the shape of its toolset — Sub-5, Multi, API among others — tells you what it is really for. Worth comparing against the other databases servers in this directory before you commit to one, since several overlap in scope but differ sharply in setup cost and permissions.
| Tool | What it does |
|---|---|
| Sub-5 | minute Setup**: From zero to fully configured development environment |
| Multi | Tier Architecture**: Essential, database, and AI collaboration servers |
| API | RESTful API with authentication and docs |
| Mobile | React Native cross-platform template |
| Redis | Caching, sessions, and real-time data structures |
| MongoDB | Document store with Atlas integration |
| Neo4j | Graph database for relationship-heavy experiments |
| Kubernetes | Service orchestration and deployment |
| Variable | Description | Required |
|---|---|---|
| GITHUB_TOKEN | Credential the server authenticates with. | Yes |
| WORKSHOP_MODE | Configuration value read at startup. | Optional |
Read-only SQL access to Postgres — let your assistant inspect schemas and answer questions from real data.
Manage your whole Supabase project in conversation — database, auth, storage, Edge Functions and branches.
Query, modify and analyse local SQLite databases in conversation — the fastest way to chat with a data file.
Metabase ships its own MCP endpoint — search your BI content, build and run queries, and save questions and dashboards without leaving the chat.
Official MongoDB server covering data, schemas and Atlas management — from find queries to spinning up clusters.
Serverless Postgres with database branching — point your assistant at Neon and let it work on disposable copies.