Agent Data Tools: AI MCP Server

by nutshell2000 Your server? Claim it

answering

Agent Data Tools: AI is answering right now. Last checked 1 min ago. It exposes 25 tools. Last commit 25 Oct 2026.

15 tools: LLM chat, summaries, translation, embeddings, speech, images. From $0.002.

Uptime history 7 days of history

7 days agonow

100.0%

Uptime 24h

90 of 90 checks

Tools

read from the server

478 ms

Response time

average over 24h

Stars

last commit 25 Oct 2026

What changed 107

Every tool that appeared, vanished or quietly changed what it asks for. Recorded since 20 October 2026. No other catalogue keeps this.

25 Oct 12 tool descriptions were rewritten13 times that day ai_chat, ai_chat_large, ai_classify and 9 more

25 Oct a tool changed version13 times that day

25 Oct 10 tools appeared ai_answer, ai_fact_check, ai_model_deepseek_r1 and 7 more

25 Oct a tool changed the parameters it asks for ai_chat

24 Oct a tool changed version16 times that day

23 Oct a tool changed version5 times that day

22 Oct a tool changed version24 times that day

21 Oct a tool changed version6 times that day

21 Oct a tool description was rewritten ai_chat

20 Oct a tool changed version10 times that day

and 77 more, back to 20 October 2026

Nothing serious here today

Today is the operative word: we check Agent Data Tools: AI every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 1 min ago.

Claude Code Claude Desktop Codex Cursor VS Code

run in your terminal

claude mcp add agent-data-tools-ai --transport http https://agent-data-tools.revmesh2074.workers.dev/mcp/ai

Settings → Connectors → Add custom connector, then paste this address

https://agent-data-tools.revmesh2074.workers.dev/mcp/ai

~/.codex/config.toml

[mcp_servers.agent-data-tools-ai]
url = "https://agent-data-tools.revmesh2074.workers.dev/mcp/ai"

.cursor/mcp.json

{
  "mcpServers": {
    "agent-data-tools-ai": {
      "url": "https://agent-data-tools.revmesh2074.workers.dev/mcp/ai"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "agent-data-tools-ai": {
      "type": "http",
      "url": "https://agent-data-tools.revmesh2074.workers.dev/mcp/ai"
    }
  }
}

Available tools 25

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

model

ai_model_deepseek_r1

Chat with DeepSeek's R1 reasoning model distilled into Qwen 32B (MIT) through one paid HTTP call: send a prompt and an optional system prompt, get the answer, up to 2,048 output tokens; its reasoning is removed from the answer. Also reachable as model "deepseek-r1" on the OpenAI-compatible /v1/chat/completions. No account or provider key. Use when an agent wants this model by name. Example: prompt=Explain x402 in one sentence.. Price $0.01/call via x402 USDC or a card key (/credits); failed calls free. Reads or computes only and changes nothing; each call is charged, so repeats are not free.

ai_model_gpt_oss_120b

Chat with OpenAI's open-weight gpt-oss-120b reasoning model (Apache 2.0) through one paid HTTP call: send a prompt and an optional system prompt, get the answer, up to 1,024 output tokens. Also reachable as model "gpt-oss-120b" on the OpenAI-compatible /v1/chat/completions. No account or provider key. Use when an agent wants this model by name. Example: prompt=Explain x402 in one sentence.. Price $0.01/call via x402 USDC or a card key (/credits); failed calls free. Reads or computes only and changes nothing; each call is charged, so repeats are not free.

ai_model_gpt_oss_20b

Chat with OpenAI's open-weight gpt-oss-20b reasoning model (Apache 2.0) through one paid HTTP call: send a prompt and an optional system prompt, get the answer, up to 1,024 output tokens. Also reachable as model "gpt-oss-20b" on the OpenAI-compatible /v1/chat/completions. No account or provider key. Use when an agent wants this model by name. Example: prompt=Explain x402 in one sentence.. Price $0.002/call via x402 USDC or a card key (/credits); failed calls free. Reads or computes only and changes nothing; each call is charged, so repeats are not free.

ai_model_mistral_small

Chat with Mistral AI's Mistral Small 3.1 24B model (Apache 2.0) through one paid HTTP call: send a prompt and an optional system prompt, get the answer, up to 1,024 output tokens. Also reachable as model "mistral-small" on the OpenAI-compatible /v1/chat/completions. No account or provider key. Use when an agent wants this model by name. Example: prompt=Explain x402 in one sentence.. Price $0.005/call via x402 USDC or a card key (/credits); failed calls free. Reads or computes only and changes nothing; each call is charged, so repeats are not free.

ai_model_qwen3_30b

Chat with Alibaba's Qwen3 30B-A3B mixture-of-experts model (Apache 2.0) through one paid HTTP call: send a prompt and an optional system prompt, get the answer, up to 1,024 output tokens; its reasoning is removed from the answer. Also reachable as model "qwen3-30b" on the OpenAI-compatible /v1/chat/completions. No account or provider key. Use when an agent wants this model by name. Example: prompt=Explain x402 in one sentence.. Price $0.002/call via x402 USDC or a card key (/credits); failed calls free. Reads or computes only and changes nothing; each call is charged, so repeats are not free.

ai_model_qwen_coder

Chat with Alibaba's Qwen2.5 Coder 32B code model (Apache 2.0) through one paid HTTP call: send a prompt and an optional system prompt, get the answer, up to 1,024 output tokens. Also reachable as model "qwen-coder" on the OpenAI-compatible /v1/chat/completions. No account or provider key. Use when an agent wants this model by name. Example: prompt=Explain x402 in one sentence.. Price $0.005/call via x402 USDC or a card key (/credits); failed calls free. Reads or computes only and changes nothing; each call is charged, so repeats are not free.

chat

ai_chat

Send a prompt, get an answer from Meta's Llama 4 Scout (17B active, 16 experts), with an optional system prompt, up to 1,024 output tokens and adjustable temperature. Fast and cheap. Use for drafting, reasoning steps, Q&A and any quick LLM call without an AI provider account; other open models by name at /v1/chat/completions, harder reasoning at ai_chat_large. Example: prompt=Explain x402 in one sentence.. Price $0.002/call via x402 USDC or a card key (/credits), first 25 free; failed calls free. Reads or computes only and changes nothing; each call is charged, so repeats are not free.

ai_chat_large

Send a prompt, get an answer from a larger open model: Llama 3.3 70B Instruct (default) or OpenAI gpt-oss-120b, with an optional system prompt, up to 1,024 output tokens and adjustable temperature. Same call as /ai/chat with a stronger model. Use when the 8B model is not enough: reasoning, drafting and Q&A. Example: prompt=Explain x402 in one sentence.. Price $0.01/call via x402 USDC or a card key (/credits); failed calls free. Reads or computes only and changes nothing; each call is charged, so repeats are not free.

answer

ai_answer

Answer a question from the live web in one call: a Brave web search, the top result pages read, and an answer written by Llama 4 Scout from those sources only, with inline [n] citations and the source list (title, URL). Says so when the sources do not answer it. Results are for the caller's immediate use only: no storing, resale or model training (Brave API terms). Use when an agent needs a current, sourced answer rather than raw search results. Example: q=What is the x402 payment protocol?. Price $0.01/call via x402 USDC or a card key (/credits); failed calls free. Reads or computes only and changes nothing; each call is charged, so repeats are not free.

classify

ai_classify

Zero-shot classification: give text and 2-20 candidate labels, get the best label, a short reason and a ranking. Use for routing tickets, tagging content, intent detection and moderation queues. Price $0.01/call via x402 USDC or a card key (/credits), first 25 free; failed calls free. Reads or computes only and changes nothing; each call is charged, so repeats are not free.

describe

describe

Vision model for an image at a public URL: get a detailed description including any visible text, or pass a question to ask something specific about the image. Accepts PNG, JPEG, WebP and GIF up to 3 MB. Use for alt text, OCR-style reading of screenshots, chart reading and content checks. Price $0.01/call via x402 USDC or a card key (/credits); failed calls free. Reads or computes only and changes nothing; each call is charged, so repeats are not free.

embed

ai_embed

A 1,024-dimension embedding vector for up to 4,000 characters of text in 100+ languages, from BAAI's BGE-M3. Use for semantic search, RAG retrieval, clustering and deduplication. Example: text=pay-per-call APIs for AI agents. Price $0.01/call via x402 USDC or a card key (/credits), first 25 free; failed calls free. Reads or computes only and changes nothing; each call is charged, so repeats are not free.

extract

ai_extract_json

Pull named fields out of unstructured text (emails, invoices, listings, bios) and get them back as a JSON object, with null for anything not present. Use to turn messy text into structured data for an agent. Price $0.01/call via x402 USDC or a card key (/credits), first 25 free; failed calls free. Reads or computes only and changes nothing; each call is charged, so repeats are not free.

fact

ai_fact_check

Check a claim against the live web in one call: a Brave search, the top pages read, and a verdict from Llama 4 Scout using those sources only (supported, contradicted, mixed or unverified) with a short explanation, [n] citations and the sources. A model's reading of a few search results, not an editorial fact-check. Results are for immediate use only (Brave API terms). Use to screen a statement before an agent repeats or acts on it. Example: claim=The x402 protocol uses the HTTP 402 Payment Required status code.. Price $0.01/call via x402 USDC or a card key (/credits); failed calls free. Reads or computes only and changes nothing; each call is charged, so repeats are not free.

image

image

Text-to-image generation with FLUX.1 schnell. Send a prompt, get a 1024x1024 JPEG back as base64 in a few seconds. Use for illustrations, thumbnails, mockups, avatars and social media images. Optional steps parameter (1-8, default 4) trades speed for detail. Example: prompt=a lighthouse on a cliff at sunset, watercolor. Price $0.01/call via x402 USDC or a card key (/credits); failed calls free. Reads or computes only and changes nothing; each call is charged, so repeats are not free.

keywords

ai_keywords

The most important keywords and key phrases of a text, most relevant first. Use for tagging, SEO, search indexing and topic detection. Price $0.01/call via x402 USDC or a card key (/credits), first 25 free; failed calls free. Reads or computes only and changes nothing; each call is charged, so repeats are not free.

moderation

ai_moderation

Classify a text as safe or unsafe with Meta's Llama Guard 3 and name the hazard categories it falls into (violent and non-violent crimes, sexual content, child exploitation, hate, self-harm, weapons, privacy, defamation, elections and others; 14 in all). Up to 8,000 characters. Also available in the OpenAI moderation shape at /v1/moderations. Use to screen user messages, model outputs or content before an agent posts or acts on it. Example: text=How do I bake sourdough bread at home?. Price $0.002/call via x402 USDC or a card key (/credits), first 25 free; failed calls free. Reads or computes only and changes nothing; each call is charged, so repeats are not free.

outline

ai_outline

A structured Markdown outline (headings and bullet points) of a text you send, or a suggested outline for a topic. Use to plan articles, reports, talks and documentation. Example: text=How small businesses can accept stablecoin payments. Price $0.01/call via x402 USDC or a card key (/credits), first 25 free; failed calls free. Reads or computes only and changes nothing; each call is charged, so repeats are not free.

rerank

ai_rerank

Order up to 50 documents by how well each answers a query, with a relevance score from 0 to 1 (BAAI bge-reranker-base, a cross-encoder). Send documents as a JSON array or one per line; each is read up to 2,000 characters, 40,000 in all. Returns the original index, score and text, best first; top_n keeps only the best. Also available in the Cohere-style shape at /v1/rerank. Use to pick what a model reads after search or vector retrieval. Price $0.002/call via x402 USDC or a card key (/credits), first 25 free; failed calls free. Reads or computes only and changes nothing; each call is charged, so repeats are not free.

rewrite

ai_rewrite

Rewrite text to be more formal, casual, simpler, shorter, friendlier, more professional or more persuasive, keeping the meaning and language. Use to polish emails, replies, product copy and messages. Example: text=hey, cant make it tmrw, can we move to thu?. Price $0.01/call via x402 USDC or a card key (/credits), first 25 free; failed calls free. Reads or computes only and changes nothing; each call is charged, so repeats are not free.

sentiment

ai_sentiment

Positive or negative sentiment of English text with a confidence score, from a DistilBERT model fine-tuned on SST-2. Use to triage reviews, support messages, social posts and replies. Example: text=The checkout was fast and support answered within minutes.. Price $0.01/call via x402 USDC or a card key (/credits), first 25 free; failed calls free. Reads or computes only and changes nothing; each call is charged, so repeats are not free.

speech

ai_speech

Turn up to 1,000 characters of text into natural speech as an audio file (base64, with its content type), in English, Spanish, French, Chinese, Japanese or Korean, with MeloTTS. Use for voice replies, audio notes, accessibility and phone or chat bots. Example: text=Your payment was received. Thank you!. Price $0.01/call via x402 USDC or a card key (/credits), first 25 free; failed calls free. Reads or computes only and changes nothing; each call is charged, so repeats are not free.

summarize

ai_summarize_text

Summarize up to 12,000 characters of text you send into a few sentences plus bullet key points. Use for long emails, documents, transcripts and tool outputs (for a web page by URL, use /summarize). Price $0.01/call via x402 USDC or a card key (/credits), first 25 free; failed calls free. Reads or computes only and changes nothing; each call is charged, so repeats are not free.

transcribe

transcribe

Transcribe speech from an audio file at a public URL using Whisper large-v3-turbo. Returns the transcript text, detected language, duration and word count. Accepts common formats such as MP3, WAV, M4A and OGG up to 5 MB. Use for voice notes, podcast clips, meeting snippets and voice messages. Example: url=https://commons.wikimedia.org/wiki/Special:FilePath/En-us-hello.ogg. Price $0.01/call via x402 USDC or a card key (/credits); failed calls free. Reads or computes only and changes nothing; each call is charged, so repeats are not free.

translate

ai_translate

Translate text between about 100 languages with Meta's M2M100 1.2B model. Give the target language as an ISO code such as en, sv, de, fr, es, zh or ja; the source language is optional. Use to localise messages and documents. Example: text=Payment received, thank you!, to=sv. Price $0.01/call via x402 USDC or a card key (/credits), first 25 free; failed calls free. Reads or computes only and changes nothing; each call is charged, so repeats are not free.

Endpoints

URL	Transport	State	Latency	Checked
https://agent-data-tools.revmesh2074.workers.dev/mcp/ai	streamable-http	answering	92 ms	1 min ago

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Agent Data Tools: AI — questions

Answers built from our own checks of this server.

What can Agent Data Tools: AI do?

It exposes 25 tools, read directly from the server on our last check. Among them: ai_answer, ai_chat, ai_chat_large, ai_classify, ai_embed, ai_extract_json and 19 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 Agent Data Tools: AI mostly used for?

Its tools cluster around model and chat. 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 Agent Data Tools: AI working right now?

We send a real MCP handshake every 15 minutes. Over the last 24 hours 90 of 90 checks got a reply (100.0%), average response time 478 ms. The bar chart above shows every period we have measured.

How do I connect Agent Data Tools: AI?

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 Agent Data Tools: AI need an API key?

No. Agent Data Tools: AI completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 25 of them are readable on this page. This is what we observed, not what the docs claim.

How fast is Agent Data Tools: AI?

It answers our handshake in 478 ms on average, which is faster than 28% of all working MCP servers we measure. The comparison comes from our own checks across the whole registry, every 15 minutes.

Is Agent Data Tools: AI open source?

We cannot say either way: written in JavaScript, 0 stars on GitHub and 2 open issues, but we could not determine the licence, and without one the code is not open source by default.