kryos-mcp
This server does not currently have a deployable release on Glama. Follow the repository's setup instructions to install and configure it for your MCP client, including any required credentials and local dependencies.
kryos-mcp
Governed code execution for AI agents, backed by the Kryos compiler's capability system. An MCP server that lets any client type-check, run, and capability-verify Kryos code — so an agent can only run code whose reach (network, filesystem, process, crypto, …) is declared and checked at compile time.
Why
Most "run this code" tools give an agent an unconstrained interpreter. kryos-mcp runs code through Kryos, where every function declares its capabilities (@capabilities(net, io)) and the compiler rejects anything that reaches further. verify_capabilities turns that into a governance verdict: ALLOW only if the code type-checks, every declared capability is inside the grant, and every function is annotated. Because Kryos enforcement is opt-in per function, unannotated functions are reported as UNCONSTRAINED rather than waved through.
Related MCP server: OmniBridge MCP Server
Tools
Tool | What it does |
| Type-check without producing artifacts; surfaces type + capability errors. |
| Compile and run with a hard timeout; captures stdout/stderr/exit code. |
| Per-function capability manifest (JSON). |
| ALLOW/DENY against a capability grant; reports unconstrained functions. |
| Full audit: capability usage, extern/FFI surface, secret-pattern scan. |
files is an optional map of sibling .kry module files (name → content) so use <mod> resolves.
Install
Requires the Kryos toolchain on PATH (or set KRYOS_BIN).
npm install
claude mcp add kryos --scope user -- node /abs/path/to/kryos-mcp/server.mjsVerify
node smoke-test.mjs # spawns the server, exercises every tool incl. a DENY and an ALLOW verdictCapabilities reference
Valid grants (case-insensitive): net, io, ffi, compute, crypto, process, env, term, db, time, all. Notable gotchas the manifest reflects: env_get/exit require process; time_now requires time; network builtins require net.
MIT.
This server cannot be deployed
Maintenance
Related MCP Connectors
Pre-execution governance for AI agents. Deterministic PASS/FAIL/REVIEW verdicts, replayable proof.
Run AI agent tasks in isolated sandboxes with a cost cap, saved workflows and scoped connections.
Scoped agent execution. Server-side credentials, policy, budgets and verifiable receipts.
Deterministic runtime safety for AI agents: scan PII, gate tool actions, verify LLM output.
Related MCP Servers
- AlicenseNot gradedqualityCmaintenanceProvides sandboxed code execution for AI agents with support for Python, JavaScript, and shell commands. Includes comprehensive safety features like destructive pattern blocking, timeout protection, and restricted file access for secure production use.21 npm43 PyPIMIT
- AlicenseNot gradedqualityCmaintenanceProvides isolated sandbox environments for AI agents to execute code securely, generating signed receipts for every execution to ensure auditability and trust.5 npm4MIT
- FlicenseNot gradedqualityDmaintenanceEnables AI agents to safely execute Python, JavaScript, and Bash code in an isolated Docker sandbox with strict security constraints.1-

genpark-jev-system1official
AlicenseNot gradedqualityBmaintenanceEnables AI agents to resolve typed routing, loop-stall arbitration, and tool safety checks locally at sub-millisecond latency, avoiding unnecessary frontier LLM calls. It enforces reversible execution checkpoints, token budgets, and decayed episodic memory for safe, privacy-first autonomous operation.7MIT