Avots Mcp — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited Avots Mcp (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
Official MCP (Model Context Protocol) server for [avots.ai](https://avots.ai) - a multi-provider AI platform.
One connection gives you:
The server lives at `https://mcp.avots.ai/` and speaks the MCP 2025-06-18 spec over Streamable HTTP. Tools are billed per call against your avots balance (same balance you'd see on the web app or the Telegram bot).
av_mcp_<48hex>).| Client | Guide | Auth model |
|---|---|---|
| Claude.ai web | docs/claude-web.md | OAuth - paste URL, click Connect, sign in (no token copy-paste) |
| Claude Desktop | docs/claude-desktop.md | Bearer token via mcp-remote |
| Claude Code (CLI) | docs/claude-code.md | Bearer token via claude mcp add |
| Cursor | docs/cursor.md | Bearer token via mcp-remote |
| Cline | docs/cline.md | Bearer token via mcp-remote |
| openclaw | docs/openclaw.md | Native remote - Bearer header, no bridge |
| LibreChat | docs/librechat.md | Native remote - Bearer header, no bridge |
| Continue.dev | docs/continue.md | Native remote - Bearer header, no bridge |
| Any other MCP client | docs/tools.md - endpoint + tool list | Bearer header Authorization: Bearer av_mcp_… |
Ready-to-paste mcp.json snippets live under examples/.
Ten tools, all listed in docs/tools.md:
| Tool | Cost | What it does |
|---|---|---|
check_balance | free | Current tokens and subscription tier. |
list_models | free | All active models with per-call cost (filter by chat, image, video, audio). |
chat | ~10-1000 ⚡ | Send a prompt to any chat model. Useful for delegating to GPT, DeepSeek, Sonar, etc. |
generate_image | ~200-500 ⚡ | Synchronous image gen. Returns an inline image block (base64) and a hosted URL. |
generate_video | ~200-5000 ⚡ | Async video gen with two-step confirmation: first call previews the cost and alternative models; second call (confirmed: true) actually submits. |
face_swap_video | ~500-2000 ⚡ | Async. Swap a face from a photo into a target video, keeping the original motion (pixverse). Two-step confirm. |
generate_talking_avatar | varies ⚡ | Async. Generate a portrait, speak your text (TTS), and lip-sync it into a talking-head video. Two-step confirm. |
generate_audio | ~50-800 ⚡ | Music (ElevenLabs Music, ACE-Step, Stable Audio) or spoken voice / TTS (ElevenLabs, preset or cloned voices). Async. |
create_calendar_event | ~5 ⚡ | Turn natural language into an event on a linked Apple/Google calendar, or return an .ics. |
check_job | free | Poll an async job (video / face-swap / avatar) by job_id. |
About the two-step video flow. Video is the most expensive tool. To avoid surprise spend,generate_videoreturns a preview card the first time it's called (no submit, no reserve). The client (e.g. Claude) shows the cost + alternative models with prices and asks the user. The user confirms, the client re-calls with the chosenmodel+confirmed: true, and only then does the job get submitted. On submit error the server returns the same alternatives card - it never silently swaps to a pricier model.
A few things this is actually useful for. Each one chains two or more tools through one connection and one balance.
Each of these flows is written out as a runnable script — exact prompt, tool sequence, model picks, cost — in docs/recipes.md.
Cost ranges from ~200⚡ for a single image to ~5000⚡ for a 10-second 1080p Kling Pro clip — run list_models (free) at any time for live per-call prices.
All tool calls bill against your avots balance, just like the web app and Telegram bot. No separate metering. Daily USD cap (set in Settings) and per-key rate limits apply.
See pricing.avots.ai for token packs and subscriptions.
Common cross-client issues (401s, daily caps, two-step video flow, image rendering, npx PATH gotchas) are collected in docs/troubleshooting.md. For client-specific setup, see the per-client guide linked in the table above.
Open an issue here, or write to [email protected]. For platform questions (billing, models, web app) the Telegram bot @AvotsAIbot is the fastest channel.
MIT - feel free to fork the docs, the examples, and anything else here.
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.