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aifree.dev MCP server

Which MCP servers are aifree.dev's own, from the official registry and from asking its own domain, whether they answer, and what they offer. A program checked each of these, nobody copied them from a product page.

read 2026-10-15

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Whose server it is
  • Addresshttps://aifree.dev/mcpnot in the official registry: answered when asked

No entry in the official MCP registry names this server. It answered on aifree.dev when the Atlas asked at the address servers are usually mounted on, so it is the vendor's own. Clients and catalogues that list servers from the registry do not show it.

When we asked itchecked 2026-10-28
  • Stateanswerschecked 2026-10-28
  • Tools13
  • Server calls itselfaifree
  • Server version1.1.0
  • Protocol version2025-06-18

On 2026-10-28 the server answered initialize and tools/list without a sign-in. First answer in 367 ms.

Should an agent connect itNot proven either way yet
  • Its tools do every use case we checked: find free daily image generation quotas; compare free API credits across model providers; check startup and student credit programs for AI tools.
  • Checked on 5 of the 7 days it takes to judge reliability.

Once connected

  • For "find free daily image generation quotas", the likely first call is search_free_ai_offers.
  • For "compare free API credits across model providers", the likely first call is list_free_llm_apis.
  • For "check startup and student credit programs for AI tools", the likely first call is search_free_ai_offers.
  • Parameters are untyped or undescribed in 11 of 13 tools: check arguments before calling.

Said by rules from the measurements above. The likely first call is a model's pick from the tool list; read its description before relying on it.

Measured dailydaily checks: 5, the first on 2026-10-28
  • INITE MCP scoreafter a weeka score needs 7 daily checks: 5 so far
  • What an agent can do with it3 of 3 use cases
  • Answeredmeasuring5 of the 7 daily checks it takes to print a share
  • Median first answer828 ms
  • Space in an agent's context≈ 2,600 tokensthe definitions of all its tools (13), which an agent carries on every turn
  • Tool definitionsB · 86 of 100
  • Typed results0 of 13 toolsdeclared outputSchema: results come typed, read once
  • Parameters without a description: in 11 of 13

What an agent can do with it

  • can do · find free daily image generation quotas
  • can do · compare free API credits across model providers
  • can do · check startup and student credit programs for AI tools

Each of the product's use cases, put to Jev against this server's tool list: can an agent do it with these tools?

Worth a look

None of the five warning signs in these definitions.

A program checks the server once a day: initialize and tools/list, no model. Tokens are the definitions' length at about four characters a token. The grade averages six checks of every tool's name, description, schema and annotations; it says how well the tools are described, not whether they work. The score weighs what was measured and nothing else: answering (25%), doing the product's job (25%), definitions (20%), context (10%), use (10%) and how readily a client connects (10%). A part that was not measured is left out, and a hidden instruction caps the score at 40. The state of vendors' MCP servers: method and numbers →

Tools it offers13 tools · read 2026-10-28
  • 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.

  • 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…

  • list_free_llm_apis

    Free LLM / inference API tiers and credits (Gemini, Groq, OpenRouter, Mistral, Cohere, NVIDIA, …) with their limits and card rules.

  • 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…

  • recent_changes

    What was listed, verified, changed or expired recently, newest first.

  • 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…

  • 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…

  • 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.

  • 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…

  • 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.

  • compare_offers

    A markdown comparison table (provider, what is free, limits, card rules, catch, expiry, status) for 2-8 offer slugs.

  • 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…

  • 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.

How to connect

Add the server to your MCP client config. Claude Desktop, Cursor and most other clients read this shape:

{
  "mcpServers": {
    "aifree": {
      "type": "http",
      "url": "https://aifree.dev/mcp"
    }
  }
}

Add it

Claude Code, in a terminal

claude mcp add --transport http aifree https://aifree.dev/mcp

Add to CursorAdd to VS Code

claude.ai, ChatGPT and other clients: add https://aifree.dev/mcp as a custom connector in the settings.

Each line is something a program found when it went looking: the registry entry, the server's own answer, a spec that parses. A missing line means we did not find it, not that it does not exist.