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Agent Data Tools: AI

by FastDrop

MCP Verified 1 hour ago Registry import free

14 x402 tools: LLM chat, summaries, translation, embeddings, speech, images. From $0.001.

14 x402 tools: LLM chat, summaries, translation, embeddings, speech, images. From $0.001. Official MCP Registry: io.github.Nutshell2000/agent-data-tools-ai@1.25.0. Remote endpoint: https://agent-data-tools.revmesh2074.workers.dev/mcp/ai

Problem it solves

Discoverable MCP server listed in the official MCP Registry.

How it's different

Remote MCP endpoint ingested from the official registry and probed by FastDrop.

Ingested from the official MCP Registry

FastDrop pulled this entry from the official MCP Registry as io.github.Nutshell2000/agent-data-tools-ai and probed the endpoint. The maker did not submit it, so the outbound link is not endorsed and the description is not theirs.

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Tools this endpoint exposes

Read directly from the endpoint on 19 Oct 2026. Not supplied by the maker.

  • 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

  • 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

  • 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

  • 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&A and any quick LLM

  • 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). Co

  • 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. Costs $0.002 in

  • 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. Costs

  • ai_keywords

    The most important keywords and key phrases of a text, most relevant first. Use for tagging, SEO, search indexing and topic detection. Costs $0.002 in USDC on Base per successful call, paid with x402.

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Matched on shared tags and the tools their MCP servers actually expose.

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