assay
Rul1an/assay/llms.txt
Policy-as-code for MCP agents: a deterministic, fail-closed gate for MCP tool calls, with kernel-level (eBPF/LSM) enforcement on Linux and offline-verifiable evidence bundles. CI-native, no hosted backend. Every claim carries its basis (verified, self_reported, inferred, absent) and never exceeds what was observed. Assay answers two questions: how do I deny a risky MCP tool call before it runs, and how do I prove afterwards what an AI agent actually did, without taking the agent's own report on trust. A tool returning…
llms.txt11 starsChanged 27 days ago
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# Assay > Policy-as-code for MCP agents: a deterministic, fail-closed gate for MCP tool calls, with kernel-level (eBPF/LSM) enforcement on Linux and offline-verifiable evidence bundles. CI-native, no hosted backend. Every claim carries its basis (verified, self_reported, inferred, absent) and never exceeds what was observed. Assay answers two questions: how do I deny a risky MCP tool call before it runs, and how do I prove afterwards what an AI agent actually did, without taking the agent's own report on trust. A tool returning "success" is the provider's assertion, never proof; recomputing a record confirms what its issuer recorded, and signing raises tamper-evidence, not vantage. ## Docs - [README](https://github.com/Rul1an/assay/blob/main/README.md): overview, quickstart, enforce/prove/stay-honest model - [OWASP MCP Top 10 mapping](https://github.com/Rul1an/assay/blob/main/docs/security/OWASP-MCP-TOP10-MAPPING.md): per-risk mapping of the gate and the evidence layer - [MCP quickstart](https://github.com/Rul1an/assay/tree/main/examples/mcp-quickstart): wrap any MCP server with a policy in one command - [CI guide](https://github.com/Rul1an/assay/blob/main/docs/guides/github-action.md): PR gates, SARIF, evidence artifacts ## Install - Rust CLI: `cargo install assay-cli` (the crate is assay-cli; the unrelated crate named assay is a test macro by another author) - Python SDK: `pip install assay-it`. CPython 3.12, 3.13, and 3.14 on macOS x86_64/arm64 and Linux x86_64; other interpreters and platforms are not claimed. - GitHub Action: https://github.com/marketplace/actions/assay-ai-agent-security - MCP registry: io.github.Rul1an/assay-mcp-server ## Ecosystem - [observed-effect-v0](https://github.com/Rul1an/observed-effect-v0): bounded, recomputable observed-effect evidence records with neutral carriers - [gateway-evidence-replay](https://github.com/Rul1an/gateway-evidence-replay): deterministic offline replay verifier for gateway-path evidence - [RGE-Bench](https://github.com/rge-bench/rge-bench): a conformance kit for evidence reviewability, maintained separately under its own machine-checked neutrality guard. Reproduction there is **digest-scoped and does not carry forward**: the v1 71-vector digest `sha256:e769822bc6c9e31085da7b1a17b163b9747fe0d04314fbb8685d4e612087c7cb` and the current v2 digest `sha256:ba0e3795d75c788fa48313ab462493f22d78759851d1b3275d8117051bb22fd0` (95 vectors) each carry one reported **independent implementation** by a second author on a different stack. JM-Lab reported the v2 95/95 reproduction on 2026-08-24, from the contract text and author-supplied inputs without reading `expected`. See its [REPRODUCTIONS.md](https://github.com/rge-bench/rge-bench/blob/main/REPRODUCTIONS.md).
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