Aedile
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Aedilecheck for existing date formatting utility before writing new code"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Claude Code
│
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"Build authentication"
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Aedile MCP
┌────────────────────┐
│ Existing helper? │
│ Stdlib available? │
│ Import cycles? │
│ Layer violation? │
└────────────────────┘
│
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Minimal implementationWhy Aedile?
Modern coding assistants know how to write code. They usually don't know your architecture.
That leads to:
duplicate utilities
unnecessary dependencies
circular imports
broken layering
inconsistent implementations
Aedile verifies the repository before code generation begins, giving coding assistants real project context instead of relying solely on prompts.
Related MCP server: Carto MCP Server
Quick Example
Without Aedile
AI: "I'll install requests."
↓
Repository already has httpx.
↓
Duplicate dependency.With Aedile
AI: "Repository already uses httpx."
↓
Reuse existing client.
↓
No duplicate dependency.How It Works
Aedile implements the Model Context Protocol (MCP). The assistant calls a single tool—aedile_consult—before generating any code.
Developer
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Claude
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Aedile MCP
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├── Architecture Verifier
├── Workspace Index
└── Decision Engine
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Advice
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Claude
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ImplementationAedile never modifies your code. It only observes and advises.
Installation
pip install aedileGenerate the local prompt templates:
python -m aedile compile-rulesThen add python -m aedile as an MCP server in your coding assistant. See SUPPORTED_AGENTS.md for step-by-step guides.
Configuration
Aedile works out of the box with zero configuration. Advanced options are documented in CONFIGURATION.md.
Supported Agents
Agent | Status |
Claude Code | ✓ Supported |
Cursor | ✓ Supported |
Windsurf | ✓ Supported |
Continue | ✓ Supported |
Full setup guides are in SUPPORTED_AGENTS.md.
Benchmarks
Benchmarks were measured using identical prompts on the same repository, before and after enabling Aedile.
Environment
Hardware: Apple M2 Pro, 16 GB RAM
Python: 3.11
Agent: Claude 2.1
Repository: 42 modules, ~8,000 lines of Python
Results
Metric | Without Aedile | With Aedile |
Reasoning Cost (avg tokens) | 1,850 | 350 |
Context Window (tokens) | 4,200 | 1,200 |
Duplicate Code Written | Yes | No |
Tool Calls Executed | 3 | 1 |
Full methodology and raw data: BENCHMARKS.md.
FAQ
Why not use static prompting (e.g., .cursorrules)?
Static prompts drift. As the context window fills, the model's adherence to static text degrades. Aedile enforces constraints through a live tool interface—the model receives current repository facts on every call, not instructions it may ignore.
Does Aedile require internet access?
No. All scanning, indexing, and analysis runs locally. There is no outbound network traffic and no telemetry.
Documentation
Contributing
Contributions are welcome. Please read CONTRIBUTING.md and CODE_OF_CONDUCT.md before opening a pull request.
License
Aedile is released under the MIT License.
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
Tools
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MCP directory API
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