yogthos/chiasmus

Description and use

**Brief Summary**
Chiasmus is an open‑source MCP (Model Context Protocol) server written in TypeScript that lets large language models invoke formal verification tools and query structured data through a standardized API/SDK/CLI interface. By exposing verification capabilities as first‑class services, it enables AI assistants to safely execute code, check proofs, and retrieve reliable results without custom integration work.

**Value**

• **Safety & Trust**: Formal verification provides mathematically sound guarantees, reducing hallucinations and unsafe actions from AI agents.
• **Standardization**: Implements the Model Context Protocol, giving developers a common contract for connecting any MCP‑compatible model to verification back‑ends, data stores, or other tooling.
• **Rapid Tooling**: Eliminates the need to hand‑craft adapters for each verification engine; the server handles request routing, result formatting, and error handling out of the box.

**Practical Adoption Path**

1. **Prototype** – Clone the repo, run the provided Docker compose or npm start to spin up a local MCP server.
2. **Integrate** – Use the generated TypeScript SDK (or the generic HTTP/JSON API) in your AI‑assistant code to send verification requests (/prove, /check, etc.).
3. **Extend** – Plug in additional formal tools (e.g., Coq, Z3, Lean) via the documented plugin hooks; the server will expose them automatically through the same MCP endpoints.
4. **Deploy** – Containerize the server, configure TLS and authentication, and register it as a Model Context Protocol endpoint in your production model orchestration platform.

**Production Readiness**

• **Activity & Community**: 177 stars, recent commits (as of 2026‑05‑14), and a modest but active fork base indicate healthy maintenance.
• **Technical Maturity**: Clear API/SDK/CLI surface, TypeScript type safety, and built‑in support for common verification back‑ends make the codebase easy to audit and extend.
• **Operational Fit**: Container‑ready, stateless request handling, and straightforward logging/monitoring align with typical backend deployment pipelines.
• **Risks**: License compliance, security hardening, and long‑term maintainer commitment still require a final review, but no major red flags appear. Overall, Chiasmus is a strong OSS candidate for pilot projects and can be scaled to production once the remaining compliance checks are completed.

Use in a workflow

yogthos/chiasmus helps connect AI assistants to real tools and data through a standard protocol.

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

Limitations and review notes

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