Agent Data Tools: AI

Name: Agent Data Tools: AI
Author: Nutshell2000

MCP serverMCP

25 tools: LLM chat, summaries, translation, embeddings, speech, images. 25 free calls.

by Nutshell2000repository ↗homepage ↗v1.80.0

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Evidence

Everything here was measured by our prober or read from a registry. Nothing is self-reported.

30-day availability10/11 checks ok

30 days ago

when	check	result	http	latency	detail
6 h ago	mcp initialize	ok	200	708 ms	server agent-data-tools 1.80.0 · protocol 2025-06-18 · 25 tools
13 h ago	mcp initialize	ok	200	115 ms	server agent-data-tools 1.73.0 · protocol 2025-06-18 · 21 tools
20 h ago	mcp initialize	ok	200	52 ms	server agent-data-tools 1.68.0 · protocol 2025-06-18 · 15 tools
33 h ago	mcp initialize	failed	429	50 ms	http 429
2 d ago	mcp initialize	ok	200	631 ms	server agent-data-tools 1.67.0 · protocol 2025-06-18 · 15 tools
2 d ago	mcp initialize	ok	200	72 ms	server agent-data-tools 1.52.0 · protocol 2025-06-18 · 15 tools
2 d ago	mcp initialize	ok	200	719 ms	server agent-data-tools 1.52.0 · protocol 2025-06-18 · 15 tools
3 d ago	mcp initialize	ok	200	96 ms	server agent-data-tools 1.52.0 · protocol 2025-06-18 · 15 tools
3 d ago	mcp initialize	ok	200	43 ms	server agent-data-tools 1.50.5 · protocol 2025-06-18 · 15 tools
3 d ago	mcp initialize	ok	200	45 ms	server agent-data-tools 1.50.5 · protocol 2025-06-18 · 15 tools

Tools observed via MCP handshake

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 temper
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 outp
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
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. Acce
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 Kore
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, a
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.
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 (fo
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 sour
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 tur
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,
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, contra
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 JSO
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
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,
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,
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
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
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 1,0
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, u
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, so
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, inten
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
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 emai
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 docu

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Official MCP Registryio.github.Nutshell2000/agent-data-tools-ai

first seen 3 d ago · fetched 2 h agoopen ↗

Field history (10 recent events)

2 h ago · declared · summary → "25 tools: LLM chat, summaries, translation, embeddings, speech, images. 25 free calls."
2 h ago · declared · description → "25 tools: LLM chat, summaries, translation, embeddings, speech, images. 25 free calls."
2 h ago · declared · version → "1.80.0"
3 d ago · declared · homepageUrl → "https://agent-data-tools.revmesh2074.workers.dev/"
3 d ago · declared · repoUrl → "https://github.com/Nutshell2000/agent-data-tools"
3 d ago · declared · summary → "15 tools: LLM chat, summaries, translation, embeddings, speech, images. From $0.002."
3 d ago · declared · protocols → ["mcp"]
3 d ago · declared · version → "1.50.1"
3 d ago · declared · description → "15 tools: LLM chat, summaries, translation, embeddings, speech, images. From $0.002."
3 d ago · declared · publisherName → "Nutshell2000"

Agent Data Tools: AI

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