by aklos · MCP Server · ★ 76
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
scryer MDD for AI agents. Scryer is a visual C4 modeling tool where you and your AI agent work from the same architecture model. Features • Getting started • MCP server • Building from source • Docs AI agents can write code, but what you describe and what gets implemented tends to drift. Scryer gives you a shared visual model: you edit it in a drag-and-drop editor, the agent reads and modifies it through MCP. Once the model looks right, the agent generates code from it — feeds work one unit at a time with dependency ordering, inherited contracts, and progress tracking. Works with Claude Code and Codex out of the box. Any agent that supports MCP can read and write models. Agents that support [ACP](https://agentclientprotocol.c
| Stars | 76 |
| Forks | 11 |
| Language | Rust |
| Category | MCP Server |
| Quality Score | 67.2275210766587/100 |
| Last Updated | 2026-06-29 |
| Created | 2025-01-30 |
| Platforms | claude-code, codex, mcp, rust |
| Est. Tokens | ~24k |
These tools work well together with scryer for enhanced workflows:
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scryer is Model-driven development for coding agents. Plan changes in a shared responsibility model mapped to your code; your agent reads, modifies, and implements it through a built-in MCP server.. It is categorized as a MCP Server with 76 GitHub stars.
scryer is primarily written in Rust. It covers topics such as ai-tools, c4-model, claude-code.
You can find installation instructions and usage details in the scryer GitHub repository at github.com/aklos/scryer. The project has 76 stars and 11 forks, indicating an active community.
The top alternatives to scryer on Agent Skills Hub include kindly-web-search-mcp-server, lovcode, deterministic-agent-control-protocol. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.