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Aifree MCP Server

answering

Aifree is answering right now. Last checked 6 min ago. 96 installs a week from npm. It exposes 13 tools. Last commit 10 Sep 2026.

Verified free AI offers, API free tiers, credits and student/startup programs from aifree.dev.

Installs per day peak 45 · avg 4 · +113% w/w
a month agotoday
Uptime history 12 days of history
12 days agonow
100.0%
Uptime 24h
91 of 91 checks
13
Tools
read from the server
942 ms
Response time
average over 24h
96
Installs / week
npm and PyPI

What changed 11

Every tool that appeared, vanished or quietly changed what it asks for. Recorded since 27 October 2026. No other catalogue keeps this.

28 Oct 5 tools appeared build_stack, get_model, get_status and 2 more
28 Oct a tool changed the parameters it asks for recent_changes
28 Oct a tool changed version
27 Oct 2 tool descriptions were rewritten find_models, get_offer
27 Oct 2 tools changed the parameters they ask for find_models, search_free_ai_offers

What the code does

We have not read this server's code yet, 5 d ago · tools taken from the live server · rules 995398eba69f

Capabilities

What this server is able to do. For an MCP server this is often the job itself — a terminal server runs commands because that is what it is for. Listed so you know what you are plugging in, not as an accusation.

File ships in the package but is absent from the source [пакет] index.mjs:1
этот файл ставится пользователю, но в репозитории его нет

Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.

This code can reach further than it looks

We found places where it runs commands, builds paths or queries from values it is given. None of that is a flaw by itself — it becomes one when the code changes, and code changes quietly between releases. We re-read it on every one.

Three servers free · no card

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 6 min ago.

run in your terminal
claude mcp add aifree --transport http https://aifree.dev/mcp
Settings → Connectors → Add custom connector, then paste this address
https://aifree.dev/mcp
~/.codex/config.toml
[mcp_servers.aifree]
url = "https://aifree.dev/mcp"
.cursor/mcp.json
{
  "mcpServers": {
    "aifree": {
      "url": "https://aifree.dev/mcp"
    }
  }
}
.vscode/mcp.json
{
  "servers": {
    "aifree": {
      "type": "http",
      "url": "https://aifree.dev/mcp"
    }
  }
}

Available tools 13

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

free
list_free_llm_apis
Free LLM / inference API tiers and credits (Gemini, Groq, OpenRouter, Mistral, Cohere, NVIDIA, …) with their limits and card rules.
search_free_ai_offers
Find free AI tools, API free tiers, credits and programs. Free text plus optional filters; returns the best matches with limits, card rules and the page URL to cite.
models
find_models
Which free API tiers serve an LLM model, with the published free-tier rate limits (RPM, RPD, TPM, TPD, requests/month), context window, tool calling and JSON mode (structured output). Same rows and ranking (most requests per day first) as the free LLM API picker. Search by model or provider name, optionally by family.
list_models
Every model some live free offer serves (the data behind aifree.dev/model and GET /api/v1/models), most free sources first: slug, family, vendor, context window, tool calling, vision, JSON mode, open weights and how many free sources serve it. Filter by name, family, provider, capability or minimum context; then call get_model for the sources and rate limits.
ask
ask_aifree
A short answer about free AI offers grounded in the verified catalog, citing only offer slugs it was shown. Declines questions outside the catalog. Cached per question for 24 h; subject to a daily budget.
build
build_stack
The aifree.dev/stack builder: for a template (chat, rag, image, voice, agent, finetune) one free pick per slot (llm, emb, vec, host, gpu, tts, stt, image) with alternatives, the tightest published LLM requests per day, cards and programs to watch, and a shareable URL. Optionally pin a slot to an offer slug, require no card, or limit to a country.
compare
compare_offers
A markdown comparison table (provider, what is free, limits, card rules, catch, expiry, status) for 2-8 offer slugs.
eligibility
check_eligibility
Use when someone asks what free AI they qualify for given who they are, e.g. "I am a student in Vietnam with no credit card, what free AI can I get?". Same rules as the aifree.dev/unlock quiz: student and startup programs only when the profile says so, no-card drops offers that ask for a card, country drops offers recorded as other-countries-only (offers with no recorded region stay in and are counted in unrecordedRegionCount), building narrows by category. All parameters are optional; omitted ones mean not a student, no startup, anywhere, card OK, any category. Unknown values are ignored the same way. Returns verified rows first, then by USD value. totalUsd sums USD headline values of verified rows only (tokens, requests, images or minutes count as $0, no exchange rates); listed rows are public but not yet checked by a person. limit (default 20, max 50) only trims the returned list: total, verifiedCount and totalUsd cover every match. Each provider decides who qualifies; cite the offer url and the unlockUrl (the same result as a page).
model
get_model
One model by slug (an alias slug resolves to the canonical one) with every live free source: offer, provider, verified or listed, card rule, context and the published rate limits (rpm, rpd, tpm, tpd, rpmo; null = not published). Same record as GET /api/v1/models/{model}.
offer
get_offer
Full details for one offer by slug (the last path segment of an aifree.dev/offer/... URL), including the write-up and, for API free tiers, the models served with their published rate limits (rateLimit: rpm, rpd, tpm, optional tpd and rpmo; null = not published), the API id of each model when recorded (apiId), whether its vendor documents JSON mode / structured output (structuredOutput, omitted when unknown), and the API base URL with its request shape (apiBaseUrl, apiCompat: openai, anthropic, google or custom).
providers
list_providers
Every provider with public offers: slug, offer count, categories, free types and its offers with status and URL. Same data as GET /api/v1/providers.
recent
recent_changes
What was listed, verified, changed or expired recently, newest first.
status
get_status
aifree.dev own status: overall verdict, 30-day uptime, per-path checks and background job health. Same report as GET /api/v1/status.

Endpoints

URLTransportStateLatencyChecked
https://aifree.dev/mcp streamable-http answering 1231 ms 6 min ago

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Aifree — questions

Answers built from our own checks of this server.

What can Aifree do?
It exposes 13 tools, read directly from the server on our last check. Among them: ask_aifree, build_stack, check_eligibility, compare_offers, find_models, get_model and 7 more. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →
What is Aifree mostly used for?
Its tools cluster around free and models. That is what this server is built to work with — the grouping comes from the actual tool names, not from a category we assigned.
Is Aifree working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 91 of 91 checks got a reply (100.0%), average response time 942 ms. The bar chart above shows every period we have measured.
How do I connect Aifree?
Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does Aifree need an API key?
No. Aifree completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 13 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is Aifree?
It answers our handshake in 942 ms on average, which is faster than 7% of all working MCP servers we measure. That is on the slow side — worth knowing if the tool sits inside an interactive loop. The comparison comes from our own checks across the whole registry, every 15 minutes.
How many people use Aifree?
The npm package @aifree/mcp was installed 96 times in the last week. Week over week that is +113%. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.
Is Aifree open source?
The code is open source: it is published under the MIT licence, 0 stars on GitHub and 3 open issues. The licence covers the code in the repository, not the hosted service at aifree.dev, which runs on its operator's own terms.