Agent Data Tools: AI

Qué puedes hacer con él

Todavía no escribimos un resumen sencillo para este. Abajo están los datos que leímos del registro.

• Conexión: Se ejecuta en la nube
• Transporte: Streamable HTTP
• Categoría: Chat y correo
• Debes completar: Authorization

Instalación

Elige la app de IA que usas y copia la configuración.

Necesitas

• Se ejecuta en la nubeNo hay nada que instalar; se conecta por internet

¿Qué app usas?

claude mcp add --transport http agent-data-tools-ai https://agent-data-tools.revmesh2074.workers.dev/mcp/ai --header 'Authorization: your-value'

{
  "mcpServers": {
    "agent-data-tools-ai": {
      "url": "https://agent-data-tools.revmesh2074.workers.dev/mcp/ai",
      "headers": {
        "Authorization": "your-value"
      }
    }
  }
}

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

Tu elección se guarda en una cookie en este dispositivo; no necesitas cuenta.

Valores que debes completar

• Authorization secreto HTTP header
  Optional. 'Bearer adt_...' API key from https://agent-data-tools.revmesh2074.workers.dev/credits to pay by card. Leave empty to pay each call with x402 (USDC).

Esta configuración se genera a partir de la ficha del creador en el registro. Si el README dice otra cosa, sigue el README.

Qué puede hacer

Nombres y descripciones de las herramientas tal como los informó el servidor el 6 nov 2026. Los escribió el creador, no nosotros; los mostramos como texto sin formato.

• 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; oth

• 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:

• 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

• 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 vo

• 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 w

• 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 lig

• 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 conten

• 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 cal

• 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

• 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;

• 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 t

• 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

• 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,

• 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. A

• 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-

• 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 acco

• 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 ac

• 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

• 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 prov

• 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-

• 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 x

• 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

• 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

• 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

• 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 k

Revisiones básicasi

Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 6 nov 2026

• ✓ Superada

  El creador coincide con el repo

  El nombre en el registro se verificó con la cuenta de GitHub Nutshell2000, dueña del repo

• … Aún sin revisar

  Sigue en mantenimiento

  Todavía no hemos leído este repo en GitHub

• … Aún sin revisar

  Tiene licencia

  Todavía no hemos leído este repo en GitHub

• ✓ Superada

  El endpoint responde

  Respondió en 962 ms (HTTP 200)

• – No aplica

  Inicio de sesión con OAuth

  No hace falta iniciar sesión

• ✓ Superada

  Sin instrucciones ocultas en las descripciones de herramientas

  Leímos 25 descripciones de herramientas y no encontramos instrucciones ocultas para la IA

Comparado con otros en Chat y correoi

• Más estrellas que el 0% de los otros 1760 servidores de esta categoría
• Publicado en el registro más recientemente que el 99% de los otros 1760 servidores de esta categoría
• Revisiones básicas iguales o mejores que el 100% de los otros 1760 servidores de esta categoría

Comparado con todos los servidores activos de esta categoría en el registro. Las estrellas solo cuentan cuando quien lo publica es dueño del repo.

Alternativas

Servidores de la misma categoría hechos por otros creadores, ordenados por estrellas.

Cómo leer una tarjeta:★ Estrellas de GitHubiTres pilares: reseñas · revisiones · usoiActualizado = fecha en que se publicó la última versión en el registroi

README del creador