DBX vs FastMCP
Side-by-side comparison of two AI agent tools
Short answer
- DBX is growing faster: +11,295 GitHub stars in the last 30 days vs +180 for FastMCP.
- Pick DBX for: 25 MB cross-platform client for 100+ databases with a built-in AI assistant and MCP Server. Pick FastMCP for: the fast, Pythonic way to build MCP servers and clients.
From GitHub data refreshed daily.
D
DBXopen-source
25 MB cross-platform client for 100+ databases with a built-in AI assistant and MCP Server
F
FastMCPopen-source
π The fast, Pythonic way to build MCP servers and clients.
Metrics
| DBX | FastMCP | |
|---|---|---|
| Stars | 23.8k | 28.0k |
| Star velocity /mo | 11.3k | 180 |
| Commits (90d) | 4.8k | 490 |
| Releases (6m) | 10 | 10 |
| Overall score | 0.950750801484004 | 0.7551726720803966 |
FAQ
- Which is more popular, DBX or FastMCP?
- FastMCP has more GitHub stars (27,958 vs 23,828).
- Which is more actively developed, DBX or FastMCP?
- DBX had more commits in the last 90 days (4,812 vs 490).
- Should I use DBX or FastMCP?
- Compare their capabilities, limitations and "best for" notes above. Both are open source, so trying each on a small task is the fastest way to decide.