sxmc

One Rust binary for turning agent-facing interfaces into practical tools: serve skills over MCP, use MCP servers from the terminal, run APIs as CLIs, and generate startup-ready AI surfaces from existing CLIs.

Crates.io | docs.rs

Why It Exists

Without sxmc, the same capability usually gets rebuilt several times:

• a skill adapter for one agent
• a JSON-RPC script for one MCP server
• a thin shell wrapper for one API
• per-host startup docs and config files for AI tools

sxmc collapses that into one installable binary with four core flows:

Skills -> MCP server
MCP server -> CLI
API -> CLI
CLI -> AI startup surfaces

That means less glue code, narrower MCP discovery, fewer retry turns, and much less repeated setup across Claude Code, Cursor, Gemini CLI, Copilot, Codex-style tools, and generic MCP clients.

Install

cargo install sxmc

Other channels:

• GitHub Releases: prebuilt archives with checksums
• npm wrapper: packaging/npm
• Homebrew formula: packaging/homebrew/sxmc.rb

Quick Start

Serve local skills over MCP:

sxmc serve
sxmc serve --transport http --host 127.0.0.1 --port 8000

Inspect and call any MCP server from the terminal:

sxmc stdio "npx @modelcontextprotocol/server-memory" --list
sxmc stdio "npx @modelcontextprotocol/server-memory" create_entities 'entities=[{"name":"sxmc","entityType":"project","observations":["Rust MCP bridge"]}]'

Use a baked, token-efficient MCP workflow:

sxmc bake create memory --type stdio --source "npx @modelcontextprotocol/server-memory"
sxmc mcp servers
sxmc mcp info memory/create_entities --format toon
sxmc mcp call memory/create_entities '{"entities":[{"name":"sxmc","entityType":"project","observations":["Rust MCP bridge"]}]}'

Run an API as a CLI:

sxmc api https://petstore3.swagger.io/api/v3/openapi.json --list
sxmc api https://petstore3.swagger.io/api/v3/openapi.json findPetsByStatus status=available

Turn a CLI into startup-facing AI artifacts:

sxmc inspect cli gh --format toon
sxmc init ai --from-cli gh --coverage full --mode preview
sxmc init ai --from-cli gh --coverage full --host claude-code,cursor,github-copilot --mode apply

Generate shell completions:

sxmc completions zsh > "${fpath[1]}/_sxmc"
sxmc completions bash > ~/.local/share/bash-completion/completions/sxmc

Practical Wins

• sxmc stdio "<cmd>" --list replaces ad hoc JSON-RPC client scripts for MCP discovery.
• sxmc mcp grep "file" searches across baked MCP servers, which is hard to reproduce cleanly with one-off tooling.
• sxmc scan catches hidden Unicode, dangerous permissions, and prompt-injection patterns that plain grep misses.
• sxmc inspect cli ... plus sxmc init ai ... turns per-host AI setup into generated, reviewable artifacts.

The current validation docs capture the real-world comparison set, token/turn estimates, and hidden retry-cost analysis.

Command Overview

• sxmc serve: expose skills as stdio or HTTP MCP
• sxmc skills: list, inspect, run, and generate skills
• sxmc stdio / sxmc http: raw MCP bridge and debugging layer
• sxmc mcp: baked daily-use MCP workflow
• sxmc api / sxmc spec / sxmc graphql: API-to-CLI bridge
• sxmc scan: security scanning for skills and MCP surfaces
• sxmc inspect / sxmc init / sxmc scaffold: CLI-to-AI inspection and scaffolding
• sxmc bake: saved connections
• sxmc completions: shell completion generation

Safety and Reliability

• preview-first AI artifact generation
• managed markdown/TOML blocks instead of wholesale overwrites
• atomic bake persistence
• configurable timeouts for networked commands
• HTTP MCP guardrails for max concurrency and request body size
• stateful MCP workflows supported through sxmc mcp session

Docs

• Usage: install, daily workflows, MCP usage, CLI-to-AI, completions
• Architecture: module map, data flow, and design boundaries
• Demo: short scripted demo path for terminal recordings
• Operations: hosting, release process, branch policy, distribution
• Validation: tests, smoke checks, compatibility, token/turn findings
• Product Contract: explicit support boundary
• CLI Surfaces: CLI-to-AI model, profile contract, write policy
• CLI to AI Compatibility: host-by-host coverage matrix

Development

cargo fmt --all
cargo clippy --all-targets --all-features -- -D warnings
cargo test

Use the validation flow before release:

bash scripts/certify_release.sh target/debug/sxmc tests/fixtures
bash scripts/smoke_real_world_mcps.sh target/debug/sxmc

License

MIT