bots.st/agent-data-tools-ai
Agent Data Tools: AI
LLM chat, summarize, translate, embed, speech, images
85 ms
answered our call
- State
- Answered
- Protocol
- MCP 2025-06-18
- Tools listed
- 33
- Answered
- 4 of the last 4 calls
How to reach it
- MCP, HTTP
https://agent-data-tools.revmesh2074.workers.dev/mcp/ai
What it can do
| Tool | What it says it does |
|---|---|
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… |
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… |
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… |
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… |
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… |
ai_embeddings | Text embeddings API: a 1,024-dimension vector for up to 4,000 characters of text in 100+ languages (BAAI BGE-M3), also OpenAI-compatible at /v1/embeddings. Use for semantic search, RAG retrieval, clustering, deduplication and similarity scoring. Example: text=pay-per-call APIs for AI agents. Price… |
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… |
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… |
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… |
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… |
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… |
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… |
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… |
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… |
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… |
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… |
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)… |
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… |
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… |
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… |
ai_sentiment_analysis | Sentiment analysis of text: positive or negative with a confidence score, from a DistilBERT model fine-tuned on SST-2, for English text. Use to classify reviews, support tickets, social posts, headlines and replies at scale, or as the scoring step of a monitoring agent. Example: text=The checkout… |
ai_speech | Turn up to 300 characters of text into natural, human-sounding speech as an MP3 (base64), in English (40 voices) or Spanish (10 voices), with Deepgram Aura-2. Pick a voice by name or leave the default. Use for voice replies, narration, audio notes, accessibility and phone or chat bots. Example… |
ai_summarize | Summarize text with an LLM: send up to 12,000 characters and get a short summary plus bullet key points. Use for long emails, articles, transcripts, meeting notes 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… |
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… |
ai_translate | Translate text into another language with OpenAI's open-weight gpt-oss-20b, detecting the source language. Long text is split at sentence ends and checked, so a cut-off translation is an uncharged 502, never a success. Give the target as an ISO code such as en, sv, de, fr, es, zh or ja; less… |
ai_translate_text | Translate text between languages with an open LLM (gpt-oss-20b; M2M100 for less common languages): the source language is detected, the target is an ISO code such as en, sv, de, fr, es, zh or ja, and long text is split at sentence ends and checked so a cut-off translation is never charged. Use to… |
ai_tts | Text to speech API: turn up to 300 characters of text into natural, human-sounding speech as an MP3 (base64) with Deepgram Aura-2 voices, in English (40 voices) or Spanish (10). Pick a voice by name or keep the default. Use for voice replies, narration, audio notes, IVR prompts and accessibility… |
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… |
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… |
image_generate | Generate an image from a text prompt with FLUX.1 schnell: send a prompt, get a 1024x1024 JPEG back as base64 in a few seconds, with an optional steps setting (1-8) for more detail. Use for illustrations, thumbnails, mockups, avatars, product shots and social media images inside an agent workflow… |
llm_chat | LLM chat completion and text generation: send a prompt (or an OpenAI messages array with tools and JSON mode) and get an answer from Meta's Llama 4 Scout, up to 1,024 output tokens, in a couple of seconds; OpenAI-compatible at /v1/chat/completions. Use for drafting, summaries, classification… |
llm_inference | LLM inference with a large open model: send a prompt (optional system prompt, up to 1,024 output tokens) and get an answer from Llama 3.3 70B Instruct or OpenAI gpt-oss-120b in one call, with no provider account; OpenAI-compatible at /v1/chat/completions by model name. Use when a small model is… |
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… |
In its maker's words
33 tools: LLM chat, summaries, translation, embeddings, speech, images. 25 free calls.
- Website
- agent-data-tools.revmesh2074.workers.dev
- Source
- github.com/Nutshell2000/agent-data-tools
- Publisher
- Nutshell2000 (8 listings in the registry)
- Listed from
- the official MCP Registry as
io.github.Nutshell2000/agent-data-tools-ai - Version
- 1.104.0, updated 7 Nov 2026
- Kinds of work
- AI models and agent tools, Writing and translation, Images, video and audio
Every call we made
| When | What happened | Time |
|---|---|---|
| Answered | 85 ms | |
| Answered | 39 ms | |
| Answered | 64 ms | |
| Answered | 64 ms |
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