by Corbell-AI · MCP Server · ★ 211
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Corbell Multi-repo architecture graph, AI-powered spec generation, and architecture review — for backend teams that ship to production. What problem does this solve? You're a staff engineer or architect at a company where features touch 5–10 repositories. Every quarter your team re-litigates the same architectural decisions: "should we use Kafka or SQS?", "why do we have three different auth patterns?", "who owns the rate-limiting layer?" The decisions live in Confluence pages nobody reads, Slack messages nobody can find, and the memories of engineers who've since left. When a new engineer joins—or even when you return to a service you haven't touched in 6 months—you're starting from scratch. Corbell gives your team a living knowledge graph of your architecture — built from the actual code in your repos and your team's past design docs. When you need a new spec, Corbell generates one that respects your established patterns instead of inventing new ones. When
| Stars | 211 |
| Forks | 21 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 72.3169366586566/100 |
| Open Issues | 2 |
| Last Updated | 2026-05-23 |
| Created | 2026-03-08 |
| Platforms | mcp, python |
| Est. Tokens | ~121k |
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Corbell is AI-powered spec generation and review using multi-repo code graph intelligence for backend teams that ship to production.. It is categorized as a MCP Server with 211 GitHub stars.
Corbell is primarily written in Python. It covers topics such as code-analysis, code-embedding, code-intelligence-mcp.
You can find installation instructions and usage details in the Corbell GitHub repository at github.com/Corbell-AI/Corbell. The project has 211 stars and 21 forks, indicating an active community.
Corbell is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
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