ContractAudit MCP Server
Enables read-only search over a curated, provenance-preserving corpus of EVM smart-contract security knowledge, providing tools for retrieving audit findings, document context, and source information.
README
ContractAudit RAG
Local-first retrieval for EVM smart-contract security knowledge — crawl, index, cite.
ContractAudit is an audit research assistant: it crawls an explicit source allowlist, extracts HTML/PDF, builds provenance-preserving chunks (LlamaIndex), stores hybrid dense + BM25 vectors in Qdrant, and exposes read-only search through MCP.
It helps you find what auditors and docs already said about a class of bugs. It is not a certificate that any contract is safe.
approved sources → governed crawler → parsers → LlamaIndex chunks
→ Qdrant (hybrid) → retrieval service → MCP tools → (optional) local LLM host
What it does
| Capability | Details |
|---|---|
| Governed crawling | Domain / path allowlists, crawl delay, size caps, storage_approved gate |
| Ingestion | HTML + PDF extraction, chunking with stable IDs + provenance |
| Hybrid search | Dense embeddings (BAAI/bge-small-en-v1.5) + sparse/BM25 via Qdrant |
| MCP server | Read-only tools for IDE / agent hosts (stdio or local HTTP) |
| Eval harness | Starter benchmark queries in eval/evm_queries.yaml |
| LLM seam | Optional host retrieves evidence via MCP, then calls your local ask() |
MCP tools: search_security_knowledge · get_audit_finding · get_document_context · list_sources · corpus_status
Crawling and indexing stay operator-controlled CLI actions so prompt content cannot mutate the corpus.
Tech stack
| Layer | Technology |
|---|---|
| Language | Python 3.11+, packaged with Hatchling |
| CLI | Typer (contract-audit-rag, contract-audit-mcp) |
| Config | Pydantic Settings, YAML source policies |
| Crawl / parse | httpx, BeautifulSoup, trafilatura, pypdf |
| Chunking / RAG | LlamaIndex + HuggingFace embeddings |
| Vector DB | Qdrant (embedded path or server URL) |
| Sparse vectors | fastembed |
| Agent interface | MCP (mcp[cli]) — stdio / streamable-HTTP |
| Quality | pytest, ruff, mypy (strict) |
Optional: OCR extras (pymupdf, pytesseract) · docs PDF builder (reportlab).
Privacy & repo hygiene
| Included | Excluded (local only) |
|---|---|
Source code, tests, config/sources.yaml |
.env |
.env.example, eval queries, docs |
.venv/, caches |
| Learning guide (md/pdf) | data/raw/, data/qdrant/, data/manifest.sqlite3 |
No API keys are required for the default local embedding path. Do not commit crawled corpora or vector stores.
Quick start (Windows)
python -m venv .venv
.\.venv\Scripts\Activate.ps1
python -m pip install --upgrade pip
python -m pip install -e ".[dev]"
Copy-Item .env.example .env
First search/ingest downloads embedding models. Default dense model runs on CPU; set CAR_EMBEDDING_DEVICE=cuda only if VRAM allows.
Embedded Qdrant (data/qdrant) allows one process at a time. For concurrent ingest + MCP, run Qdrant as a service and set CAR_QDRANT_URL=http://localhost:6333.
Build a small corpus
Review config/sources.yaml first (robots, terms, report licenses).
contract-audit-rag sources validate
contract-audit-rag crawl --source trailofbits_secure_contracts --limit 30
contract-audit-rag ingest
contract-audit-rag stats
contract-audit-rag search "How should oracle price freshness be checked?"
contract-audit-rag benchmark
MCP
contract-audit-mcp
For a local network client: CAR_MCP_TRANSPORT=streamable-http (default 127.0.0.1:8765). Do not expose publicly without auth/TLS.
Tests
ruff check .
mypy src
pytest
Optional local-model phase
Wire any local model callable through contract_audit_rag.llm.base.CallableAdapter, then use MCPQwenHost.answer() with a connected MCP ClientSession. The host:
- Calls
search_security_knowledge - Validates structured evidence
- Builds an
evidence_prompt(untrusted web content, required citations, insufficient-evidence path)
The raw model is not an MCP client — the application host owns tool calls.
Repo map
ContractAudit/
├── config/sources.yaml # Crawl allowlist (review before use)
├── src/contract_audit_rag/
│ ├── cli.py # Typer CLI
│ ├── ingestion/ # Crawler, parsers, pipeline, chunking
│ ├── retrieval/ # Search service
│ ├── indexing.py # Qdrant index store
│ ├── mcp/server.py # MCP tools
│ └── llm/ # Optional host + adapter seam
├── eval/evm_queries.yaml
├── tests/
├── docs/ # Learning guide (md + pdf)
├── tools/build_learning_guide.py
├── .env.example
└── pyproject.toml
Design notes
- Allowlist-first security posture for anything that hits the network.
- Provenance-preserving chunks so answers can be cited, not hand-waved.
- Read-only MCP surface — corpus mutation is never a tool side effect.
- Hybrid retrieval for both semantic and keyword-heavy audit jargon.
- Honest product boundary: research assistant ≠ automated audit sign-off.
Learning guide
Detailed walkthrough: docs/Contract_Audit_RAG_Learning_Guide.pdf (Markdown source alongside).
python -m pip install -e ".[docs]"
python tools\build_learning_guide.py
License
MIT — see LICENSE. Respect third-party content licenses when crawling or redistributing reports.
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