holon-run/uxc — A unified CLI for discovering and invoking tools across OpenAPI, MCP, GraphQL, gRPC, and JSON-RPC

Description and use

**Brief Summary**
holon‑run/uxc is a Rust‑based unified CLI that lets developers discover and invoke services defined in OpenAPI, MCP, GraphQL, gRPC, and JSON‑RPC through a single, standard protocol. By exposing implementation signals such as API/SDK/CLI metadata, language tags, and topic focus, it streamlines the wiring of AI assistants to real‑world tools and data sources.

**Value**

• **One‑stop gateway**: Eliminates the need to juggle multiple client generators or custom adapters; a single command can query any supported spec type.
• **AI‑ready interface**: The Model Context Protocol (MCP) integration enables large language models to call external tools safely and predictably, turning abstract prompts into concrete actions.
• **Consistent metadata**: Built‑in exposure of language, SDK, and topic information makes downstream discovery, documentation, and governance far easier.

**Practical Adoption Path**

1. **Prototype** – Install the CLI (cargo install uxc or pre‑built binary) and point it at an existing OpenAPI/GraphQL/gRPC spec to validate that tool discovery works.
2. **Integrate** – Wrap the CLI or its Rust library in a thin service layer (e.g., a lightweight HTTP proxy) that your AI assistant can call via MCP.
3. **Standardize** – Replace ad‑hoc SDK calls across your codebase with uxc invocations, gradually deprecating bespoke client code.
4. **Scale** – Deploy the proxy as a Model Context Protocol server in your production environment, leveraging the CLI’s built‑in health checks and logging.

**Production Readiness**

• **Activity & Adoption**: Recent commits (as of 2026‑05‑14), 108 GitHub stars, and active forks indicate a healthy community.
• **Maturity**: The project covers a wide range of protocols, provides clear CLI semantics, and is written in Rust, offering performance and safety guarantees.
• **Risk Considerations**: Licensing and security posture still need a final audit, and you should verify that maintainers are responsive to vulnerability reports. With those checks completed, holon‑run/uxc is a strong candidate for a serious pilot or production deployment.

Problem

holon-run/uxc helps connect AI assistants to real tools and data through a standard protocol.

Outcome

High for an OSS candidate: recent activity, adoption, and ecosystem signals are strong enough for a serious pilot.

Workflow

• connect AI agents to tools
• ship Model Context Protocol servers
• standardize integrations

Evidence

A unified CLI for discovering and invoking tools across OpenAPI, MCP, GraphQL, gRPC, and JSON-RPC

Source