MCP serverio.github.Nutshell2000/agent-data-tools-ai
15 tools: LLM chat, summaries, translation, embeddings, speech, images.
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15 tools: LLM chat, summaries, translation, embeddings, speech, images. From $0.002.Overview
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UNRATED 0.000
of what a free look can see, on 3 looks
Looks
3
last 1 day ago
Tools
15
changed 1 day ago
More info
URL
agent-data-tools.revmesh2074.workers.dev/mcp/ai
streamable-http
Says it is
agent-data-tools 1.49.1
protocol 2025-06-18
In the record since
3 days ago
Among servers23,929 with a card
0median 0.565 · this server 0.000 · highest on record 0.8511
Toolsfrom sha256:6fd5967519…21cb69 · +0 −0 1 day ago
| Tool | Schema |
|---|---|
| ai_chat Send a prompt, get an answer from Llama 3.1 8B Instruct, with an optional system prompt, up to 1,024 output tokens and adjustable temperature. Use for drafting, reasoning steps, Q& |
input · no output |
| 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 adjust |
input · no output |
| 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 mode |
input · no output |
| 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. E |
input · no output |
| 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 st |
input · no output |
| 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 |
input · no output |
| 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: |
input · no output |
| 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 |
input · no output |
| 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 repli |
input · no output |
| 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. Us |
input · no output |
| 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, |
input · no output |
| 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 optio |
input · no output |
| 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, W |
input · no output |
| 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 me |
input · no output |
| 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 s |
input · no output |
Verify it yourself
npx teppi-check https://agent-data-tools.revmesh2074.workers.dev/mcp/aicurl -s https://api.teppi.xyz/v1/trust/mcp/mcs_01M5BY975SX2W96BBDZ12GGF2W