workflow-guard-mcp

Portable guardrails for agentic coding clients that speak the Model Context Protocol (MCP).

The project is intended to reduce the blast radius of fast, highly autonomous coding workflows by giving clients a shared policy decision point. The MCP server does not execute the proposed action itself.

Status

This repository is an early scaffold. The current guard_check tool demonstrates a stable policy-decision contract; it is not yet a complete port of opencode-workflow-guard policies.

Most importantly, connecting an MCP server does not make it an interceptor for every native tool a coding client can execute. Hard enforcement depends on integration support in the host. See Compatibility and Plan.

Related MCP server: Vaikora Guard MCP

Tools

• guard_check: evaluates a proposed shell, file_write, git, or network action and returns allow, deny, or ask with a machine-readable policy ID.

• guard_status: reports the server's current enforcement mode. It explicitly identifies this scaffold as host-dependent policy advice.

Development

Requires Node.js 20 or newer.

npm install
npm test
npm run typecheck
npm run build

The initial transport is stdio because both Claude Code and Codex support local stdio MCP servers. Streamable HTTP can be added without changing the policy API.

Design Principle

The public promise is deliberately narrower than "this MCP sandboxes your coding agent." It centralizes policy. Client adapters enforce that policy wherever the client exposes a trustworthy interception mechanism; otherwise the result remains advisory and should be combined with the client's native sandbox and approval controls.

Sources

The compatibility design was checked against current official documentation and source on 2026-08-27:

• Anthropic Claude Code MCP: https://docs.claude.com/en/docs/claude-code/mcp

• Anthropic Claude Code hooks: https://github.com/anthropics/claude-code/blob/main/plugins/plugin-dev/skills/hook-development/SKILL.md

• OpenAI Codex: https://github.com/openai/codex

• Codex MCP configuration implementation: https://github.com/openai/codex/blob/main/codex-rs/config/src/mcp_types.rs

• MCP TypeScript SDK: https://github.com/modelcontextprotocol/typescript-sdk/blob/v1.29.0/docs/server.md

License

MIT