respan-gateway: Open-source LLM gateway in Rust

by respanai · MCP Server · ★ 592

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

Security audit verdict: SAFE · quality 72/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

ai-agentsai-gatewayai-proxyanthropicclaude-codegeminilitellm-alternativellmllm-gatewayllm-proxy

Quick Facts

Stars592
Forks92
LanguageRust
CategoryMCP Server
LicenseApache-2.0
Quality Score72/100
Open Issues66
Last Updated2026-11-06
Created2026-09-25
Platformsclaude-code, gemini, mcp, rust
Est. Tokens~23k

About respan-gateway

▶ Watch the demo Respan Gateway One endpoint for every LLM vendor. Point any official SDK at the gateway, name any model, and it routes the request to the right provider, translating between OpenAI, Anthropic and Gemini APIs on the way. Any client, any model.

respan-gateway alternative? Top 6 similar tools

Looking for a respan-gateway alternative? If you're comparing respan-gateway with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

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    Build mods for Claude Code: Hook any request, modify any response, /model "with-your-custom-model", intelligen

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  • NadirClaw by NadirRouter · ⭐ 662

    Source-available LLM router and AI cost optimizer. Routes simple prompts to cheap or local models and complex

  • NadirClaw by doramirdor · ⭐ 336

    Open-source LLM router & AI cost optimizer. Routes simple prompts to cheap/local models, complex ones to premi

  • vllora by vllora · ⭐ 814

    Debug your AI agents

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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