Overview Kevros is runtime intelligence for autonomous AI agents. It verifies every action before execution, issues cryptographic release tokens, and records every decision in a hash-chained provenance ledger with MCP tools that let security engineers and AI developers validate trusted execution environments, generate attestations, bind credentials, check outcomes, and bundle evidence in production.

The Kevros MCP server exposes 9 tools, 2 resources, and 2 prompts focused on runtime verification and attestation. It enables programmatic handling of secure runtime intelligence, allowing validation of execution integrity in environments like confidential computing or AI inference pipelines.

Key Capabilities

verify: Checks validity of runtime attestations or claims against predefined policies.
attest: Generates cryptographic attestations proving runtime properties, such as enclave integrity.
bind: Associates credentials, keys, or policies with specific runtime instances.
verify-outcome: Validates specific execution results or outcomes for compliance.
bundle: Packages multiple attestations and evidence into a verifiable report. These tools support end-to-end runtime security workflows.

Use Cases

In AI model serving, use attest to prove enclave isolation, then verify-outcome to confirm inference results match expected hashes.
For container orchestration, apply bind to link service accounts to pods, followed by verify to audit runtime compliance.
During deployment pipelines, invoke bundle to collect logs, metrics, and attestations into a single artifact for third-party verification.
In compliance audits, chain verify and verify-outcome to assert no tampering occurred in sensitive workloads.

Who This Is For Security engineers securing AI/ML runtimes, platform developers building trusted execution systems, and DevOps teams managing confidential computing infrastructures.