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Unified AI System

User RatingsBe the first to rate and review this MCP server! Enrichment pendingWe haven’t run our AI enrichment pass on this listing yet, so the overview, use cases, and FAQ below may be sparse or missing. We work through the catalog over time β€” check back soon.
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Terminal-first AI gateway for Codex with eight governed MCP tools and local fake-provider startup.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "unified-ai-system": {
      "command": "npx",
      "args": [
        "-y",
        "unified-ai-system"
      ]
    }
  }
}

πŸ’‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing AlternativesπŸ’» More in Developer Tools

Documentation Overview

Unified AI System: Self-Hosted AI Gateway & MCP Server

Open-source AI gateway for deterministic prompt enhancement, governed execution, and reproducible verification.

English | zh-CN | Project Site

GitHub stars CI Release Maturity: hardened Public Preview Official MCP Registry: active License

Unified AI System β€” self-hosted AI gateway with 12 governed MCP tools, four release gates, 23 defended attack cases, and zero credentials to start

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 — with virtual keys and token budgets, exact response caching plus an opt-in lexical-approximate similarity layer, reverse MCP governance with REST→MCP 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.

Try Before Installing

Unified AI System turns a rough request into a structured coding prompt
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:

Terminal
docker run --rm ghcr.io/happy520ai/unified-ai-system/ai-gateway-service:0.7.0 pnpm gateway demo "Build a small API for my team" --enhance --profile coding --evidence

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.

The Gateway at a Glance

Architecture: OpenAI/Anthropic SDKs, MCP clients, A2A, CLI, and HTTP enter one gateway that adds prompt enhancement, virtual keys, exact + semantic cache, reverse MCP governance, observability, and audit β€” providers stay behind a three-gate whitelist with the fake provider as the credential-free default
Clients keep their native protocols; the gateway adds keys, budgets, cache, and audit. Twelve governed MCP tools are inspectable from any MCP client.

Choose Your First Path

Your goalStart hereWhat you get
Try it before installingBrowser Prompt LabA local, deterministic preview with no account or API key.
Verify the published runtime60-second Docker demoA disposable fake-provider run with visible evidence and cleanup.
Connect an agent clientCodex and MCP quickstartA pinned MCP container and twelve inspectable tools.
Choose a client pathMCP compatibility matrixInstall commands, first checks, and honest evidence boundaries.
Integrate with an applicationPrompt enhancement guideCLI, HTTP, SDK, curl, Python, and JavaScript paths.
Keep an existing OpenAI clientOpenAI-compatible APIPoint baseURL at /v1 for Chat Completions, function tools, Responses, streaming, and model discovery.
Connect another agentA2A v1.0 gatewayVerify 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 certificationClient runtime certificationCurrent evidence-backed catalog state: 52 verified, 2,084 pending manual evidence, and 0 failed across 2,136 unique entries.
Run mainstream certification one-by-oneClient runtime certificationRun node tools/verify-client-runtimes-serial.mjs --client tag:mainstream for sequential reports and explicit manual evidence states.
Run global protocol coverageClient runtime certificationRun node tools/run-global-client-discovery.mjs --source-manifest docs/client-runtime-catalog-sources-worldwide.json --execute --serial --max 0.
Run strict global certificationClient runtime certificationAdd --require-manual-evidence --manual-evidence docs/client-runtime-evidence.example.json to fail on missing manual proof.
Inspect the enhancement contractCredential-free evaluationEight representative cases for profiles, languages, signals, determinism, and zero provider calls.
Diagnose a first-run problemTroubleshooting matrixShell-specific checks without exposing credentials.
Verify an MCP clientMCP client reportRecord one Codex, Cursor, Cline, or generic stdio run with a small evidence set.
Contribute or report a runUsage report or good first issue #106A reproducible feedback path for users and maintainers.

Gateway Capabilities

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:

Capability cards: OpenAI, Anthropic, and Gemini APIs; virtual keys and budgets; exact and semantic cache; reverse MCP governance; observability; local-first RAG; provider governance; and a 23-attack security regression

Read the full README β†’View source on GitHub β†’

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Reviews

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Frequently Asked Questions about Unified AI System

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "unified-ai-system": { "command": "npx", "args": ["-y", "Unified AI System"] } }

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Technical Specs & Signals

CategoryπŸ’»Developer Tools
More technical detailsExpand β–Ύ
TransportSTDIO
RuntimeNode.js
Last updatedSep 7, 2026
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27Quality signal: Emerging Β· 27/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership8/20
Documentation & tools11/30
Adoption & activity1/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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