study-dashboard vs mcp-context-forge
study-dashboard: A self-hostable personal study dashboard that tracks courses, schedule, lectures, study topics, deliverables, and tasks. It integrates with Claude via MCP (Model Context Protocol) with ~45 tools, allowing Claude to interact with the app from browser, phone, desktop, or Claude Code. The app provides a real-time view of academic progress and supports seamless AI-assisted learning.; mcp-context-forge: ContextForge MCP Gateway is a feature-rich gateway and proxy that unifies diverse AI services including REST, MCP, and Agent-to-Agent (A2A) protocols into a single, clean endpoint. It offers advanced features like federation, virtual servers, robust authentication, rate-limiting, and comprehensive OpenTelemetry observability.
TL;DR
Study session with Claude: fetch lecture slides, teach content, and mark topics as studied via voice or text commands
- You need one gateway in front of MCP servers, A2A agents and REST or gRPC services, with federation and virtual servers.
- You want to wrap REST or gRPC services as MCP tools so MCP clients can use non-MCP backends.
- You need multi-tenancy with RBAC, rate limiting, OpenTelemetry tracing and an admin UI, deployed by PyPI, Docker, Compose or Helm.
- You want a small tool: it is broad infrastructure (gateway, registry, proxy, admin UI, multi-tenancy) that you must deploy, secure and operate.
- You are upgrading from before v0.7.0: the README requires following a migration guide.
- You want to find setup steps quickly: the README is over 160,000 characters.
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