Terminal-first AI gateway for Codex with eight governed MCP tools and local fake-provider startup.
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β or use 1-click editor setup below.
π‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.
Open-source AI gateway for deterministic prompt enhancement, governed execution, and reproducible verification.
English | zh-CN | Project Site
Unified AI System turns a rough request into a structured, reviewable prompt before execution. It gives teams one self-hosted surface for OpenAI-compatible SDKs, MCP, A2A, CLI, and HTTP while keeping provider calls explicit β with virtual keys and token budgets, exact response caching plus an opt-in lexical-approximate similarity layer, reverse MCP governance with RESTβMCP generation, a terminal-first JSON operations overview, and operations-focused observability.
Current maturity: hardened Public Preview. The credential-free path is reproducible and CI-gated; production deployment still requires your own provider staging, HA/DR drills, security review, and operating evidence.
The original request stays visible. The local enhancer adds execution requirements, output requirements, and completion criteria.
Open a ready-to-run coding example in the browser Prompt Lab
The link loads a real request and renders the enhanced prompt locally. No account, API key, or provider call is required.
Run the same proof against the published container:
The evidence confirms that the original request was preserved, the result is
deterministic, and providerCalled=false. Codex, VS Code, Claude Code, Gemini
CLI, OpenCode, Cursor, Cline, Continue, and generic stdio clients can reach the
same gateway through twelve governed MCP tools. The source build also provides a
protocol-tested MCP Streamable HTTP endpoint for clients that connect by URL.
Useful in a real workflow? Star the repository or share one reproducible result.
Clients keep their native protocols; the gateway adds keys, budgets, cache, and audit. Twelve governed MCP tools are inspectable from any MCP client.
| Your goal | Start here | What you get |
|---|---|---|
| Try it before installing | Browser Prompt Lab | A local, deterministic preview with no account or API key. |
| Verify the published runtime | 60-second Docker demo | A disposable fake-provider run with visible evidence and cleanup. |
| Connect an agent client | Codex and MCP quickstart | A pinned MCP container and twelve inspectable tools. |
| Choose a client path | MCP compatibility matrix | Install commands, first checks, and honest evidence boundaries. |
| Integrate with an application | Prompt enhancement guide | CLI, HTTP, SDK, curl, Python, and JavaScript paths. |
| Keep an existing OpenAI client | OpenAI-compatible API | Point baseURL at /v1 for Chat Completions, function tools, Responses, streaming, and model discovery. |
| Connect another agent | A2A v1.0 gateway | Verify an optionally signed Agent Card/JWKS and run tenant-scoped tasks with bounded memory, same-host SQLite, or cross-host PostgreSQL state plus fenced execution leases. |
| Check client runtime certification | Client runtime certification | Current evidence-backed catalog state: 52 verified, 2,084 pending manual evidence, and 0 failed across 2,136 unique entries. |
| Run mainstream certification one-by-one | Client runtime certification | Run node tools/verify-client-runtimes-serial.mjs --client tag:mainstream for sequential reports and explicit manual evidence states. |
| Run global protocol coverage | Client runtime certification | Run node tools/run-global-client-discovery.mjs --source-manifest docs/client-runtime-catalog-sources-worldwide.json --execute --serial --max 0. |
| Run strict global certification | Client runtime certification | Add --require-manual-evidence --manual-evidence docs/client-runtime-evidence.example.json to fail on missing manual proof. |
| Inspect the enhancement contract | Credential-free evaluation | Eight representative cases for profiles, languages, signals, determinism, and zero provider calls. |
| Diagnose a first-run problem | Troubleshooting matrix | Shell-specific checks without exposing credentials. |
| Verify an MCP client | MCP client report | Record one Codex, Cursor, Cline, or generic stdio run with a small evidence set. |
| Contribute or report a run | Usage report or good first issue #106 | A reproducible feedback path for users and maintainers. |
Everything below runs from the same self-hosted process β opt-in and fake-provider-first, so you can try every feature with zero credentials:
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