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8 clients · secrets stay placeholders

JSON (mcpServers)Claude CodeCodexOpenCodeCursorVS CodeGemini CLIGoose

{
  "mcpServers": {
    "agent-data-tools-ai": {
      "type": "http",
      "url": "https://agent-data-tools.revmesh2074.workers.dev/mcp/ai",
      "headers": {
        "Authorization": "Bearer ${AGENT_DATA_TOOLS_AI_TOKEN}"
      }
    }
  }
}

claude mcp add --transport http agent-data-tools-ai https://agent-data-tools.revmesh2074.workers.dev/mcp/ai --header "Authorization: Bearer ${AGENT_DATA_TOOLS_AI_TOKEN}"

[mcp_servers.agent-data-tools-ai]
url = "https://agent-data-tools.revmesh2074.workers.dev/mcp/ai"
bearer_token_env_var = "AGENT_DATA_TOOLS_AI_TOKEN"

{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "agent-data-tools-ai": {
      "type": "remote",
      "url": "https://agent-data-tools.revmesh2074.workers.dev/mcp/ai",
      "enabled": true,
      "headers": {
        "Authorization": "Bearer {env:AGENT_DATA_TOOLS_AI_TOKEN}"
      }
    }
  }
}

{
  "mcpServers": {
    "agent-data-tools-ai": {
      "type": "http",
      "url": "https://agent-data-tools.revmesh2074.workers.dev/mcp/ai",
      "headers": {
        "Authorization": "Bearer ${AGENT_DATA_TOOLS_AI_TOKEN}"
      }
    }
  },
  "deeplink": "cursor://anysphere.cursor-deeplink/mcp/install?name=agent-data-tools-ai&config=eyJ0eXBlIjoiaHR0cCIsInVybCI6Imh0dHBzOi8vYWdlbnQtZGF0YS10b29scy5yZXZtZXNoMjA3NC53b3JrZXJzLmRldi9tY3AvYWkiLCJoZWFkZXJzIjp7IkF1dGhvcml6YXRpb24iOiJCZWFyZXIgJHtBR0VOVF9EQVRBX1RPT0xTX0FJX1RPS0VOfSJ9fQ%3D%3D"
}

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

{
  "mcpServers": {
    "agent-data-tools-ai": {
      "httpUrl": "https://agent-data-tools.revmesh2074.workers.dev/mcp/ai",
      "headers": {
        "Authorization": "Bearer ${AGENT_DATA_TOOLS_AI_TOKEN}"
      }
    }
  }
}

extensions:
  "agent-data-tools-ai":
    enabled: true
    name: "agent-data-tools-ai"
    type: streamable_http
    uri: "https://agent-data-tools.revmesh2074.workers.dev/mcp/ai"
    headers:
      "Authorization": "Bearer ${AGENT_DATA_TOOLS_AI_TOKEN}"
    timeout: 300

Placeholders to fill from your own secret store: ${AGENT_DATA_TOOLS_AI_TOKEN}. The registry never accepts secret values.

Quality 89 / 100new

protocol75 · weight 25

warn
protocol.modernnewest supported version is 2025-11-25; 2026-07-28 not supported, older versions are deprecated until 2027-07-28
n/a
protocol.statelessonly applies to 2026-07-28 servers
pass
protocol.transportstreamable HTTP
n/a
protocol.list_ttlonly applies to 2026-07-28 servers

authorizationn/a · weight 15

n/a
auth.prm, auth.as_metadata, auth.cimdno remote uses OAuth
n/a
auth.secret_in_urlno templated URL

tool hygiene100 · weight 30

pass
tools.descriptionsevery tool has a description
pass
tools.description_lengthdescriptions are concise
pass
tools.schemasevery tool has an object input schema
pass
tools.annotations15 of 15 tools declare readOnlyHint or destructiveHint
pass
tools.directory_hintsevery tool declares readOnlyHint, destructiveHint, idempotentHint and openWorldHint
pass
tools.token_costabout 3,334 tokens to load every tool
pass
tools.api_dumptools are not a one-to-one API dump

stabilityn/a · weight 15

n/a
stability.changes, stability.rug_pulltool history recorded for 1 of the 7 days needed

dependenciesn/a · weight 15

n/a
deps.known_vulns, deps.mcp_sdk_version, deps.resolvableno npm or PyPI package

15 tools, about 3,334 tokens to load them all · tool set 28031063886f · tools last changed 2026-10-20 · checked 2026-10-20 17:34 UTC

Tool changes

2026-10-20ai_chat_largeadded
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, drafting and Q&A. Price $0.01/call via x402 USDC or a card key (/credits); failed calls free. Reads or computes only and changes nothing; each call is charged, so repeats are not free.
2026-10-20ai_speechchangeddescription, annotations
before
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 was received. Thank you!, lang=en. Price $0.003/call via x402 USDC or a card key (/credits); failed calls free. Reads or computes only; not marked read-only because each call is charged.
after · 90% of words in common
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 was received. Thank you!, lang=en. Price $0.003/call via x402 USDC or a card key (/credits); failed calls free. Reads or computes only and changes nothing; each call is charged, so repeats are not free.
2026-10-20ai_extract_jsonchangeddescription, annotations
before
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 $0.003/call via x402 USDC or a card key (/credits); failed calls free. Reads or computes only; not marked read-only because each call is charged.
after · 87% of words in common
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 $0.003/call via x402 USDC or a card key (/credits); failed calls free. Reads or computes only and changes nothing; each call is charged, so repeats are not free.
2026-10-20ai_embedchangeddescription, annotations
before
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 $0.003/call via x402 USDC or a card key (/credits); failed calls free. Reads or computes only; not marked read-only because each call is charged.
after · 88% of words in common
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 $0.003/call via x402 USDC or a card key (/credits); failed calls free. Reads or computes only and changes nothing; each call is charged, so repeats are not free.
2026-10-20ai_translatechangeddescription, annotations
before
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 optional. Use to localise messages and documents. Example: text=Payment received, thank you!, to=sv, from=en. Price $0.003/call via x402 USDC or a card key (/credits); failed calls free. Reads or computes only; not marked read-only because each call is charged.
after · 89% of words in common
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 optional. Use to localise messages and documents. Example: text=Payment received, thank you!, to=sv, from=en. Price $0.003/call via x402 USDC or a card key (/credits); failed calls free. Reads or computes only and changes nothing; each call is charged, so repeats are not free.
2026-10-20ai_outlinechangeddescription, annotations
before
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, depth=2. Price $0.003/call via x402 USDC or a card key (/credits); failed calls free. Reads or computes only; not marked read-only because each call is charged.
after · 87% of words in common
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, depth=2. Price $0.003/call via x402 USDC or a card key (/credits); failed calls free. Reads or computes only and changes nothing; each call is charged, so repeats are not free.
2026-10-20ai_rewritechangeddescription, annotations
before
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?, style=professional. Price $0.003/call via x402 USDC or a card key (/credits); failed calls free. Reads or computes only; not marked read-only because each call is charged.
after · 88% of words in common
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?, style=professional. Price $0.003/call via x402 USDC or a card key (/credits); failed calls free. Reads or computes only and changes nothing; each call is charged, so repeats are not free.
2026-10-20ai_keywordschangeddescription, annotations
before
The most important keywords and key phrases of a text, most relevant first. Use for tagging, SEO, search indexing and topic detection. Price $0.003/call via x402 USDC or a card key (/credits); failed calls free. Reads or computes only; not marked read-only because each call is charged.
after · 83% of words in common
The most important keywords and key phrases of a text, most relevant first. Use for tagging, SEO, search indexing and topic detection. Price $0.003/call via x402 USDC or a card key (/credits); failed calls free. Reads or computes only and changes nothing; each call is charged, so repeats are not free.
2026-10-20ai_classifychangeddescription, annotations
before
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 $0.003/call via x402 USDC or a card key (/credits); failed calls free. Reads or computes only; not marked read-only because each call is charged.
after · 86% of words in common
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 $0.003/call via x402 USDC or a card key (/credits); failed calls free. Reads or computes only and changes nothing; each call is charged, so repeats are not free.
2026-10-20ai_sentimentchangeddescription, annotations
before
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 $0.003/call via x402 USDC or a card key (/credits); failed calls free. Reads or computes only; not marked read-only because each call is charged.
after · 88% of words in common
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 $0.003/call via x402 USDC or a card key (/credits); failed calls free. Reads or computes only and changes nothing; each call is charged, so repeats are not free.

Showing the latest 10. Full history: list_changes · trend: quality JSON.

Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed. How it is computed.

Trust 93 / 100

duplicate-repo

provenance90

liveness100

freshness100

hygiene80

+repository +namespace-matches-repo +website +reachable +uptime-100% +updated-0d-ago -duplicate-repo(8 names)

Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed. How it is computed.

Endpoints

remote	auth	reachable	uptime 30d	p50	protocol	last ok
`https://agent-data-tools.revmesh2074.workers.dev/mcp/ai` streamable-http	none	yes	100%	701 ms	2025-11-25	2026-10-20

Tools (15)

`ai_chat`read-only	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 call without an AI provider account. Price $0.003/call via x402 USDC or a card key (/credits); failed calls free. Reads or computes only and changes nothing; each call is charged, so repeats are not free.
`ai_chat_large`read-only	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, drafting and Q&A. Price $0.01/call via x402 USDC or a card key (/credits); failed calls free. Reads or computes only and changes nothing; each call is charged, so repeats are not free.
`ai_classify`read-only	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 $0.003/call via x402 USDC or a card key (/credits); failed calls free. Reads or computes only and changes nothing; each call is charged, so repeats are not free.
`ai_embed`read-only	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 $0.003/call via x402 USDC or a card key (/credits); failed calls free. Reads or computes only and changes nothing; each call is charged, so repeats are not free.
`ai_extract_json`read-only	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 $0.003/call via x402 USDC or a card key (/credits); failed calls free. Reads or computes only and changes nothing; each call is charged, so repeats are not free.
`ai_keywords`read-only	The most important keywords and key phrases of a text, most relevant first. Use for tagging, SEO, search indexing and topic detection. Price $0.003/call via x402 USDC or a card key (/credits); failed calls free. Reads or computes only and changes nothing; each call is charged, so repeats are not free.
`ai_outline`read-only	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, depth=2. Price $0.003/call via x402 USDC or a card key (/credits); failed calls free. Reads or computes only and changes nothing; each call is charged, so repeats are not free.
`ai_rewrite`read-only	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?, style=professional. Price $0.003/call via x402 USDC or a card key (/credits); failed calls free. Reads or computes only and changes nothing; each call is charged, so repeats are not free.
`ai_sentiment`read-only	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 $0.003/call via x402 USDC or a card key (/credits); failed calls free. Reads or computes only and changes nothing; each call is charged, so repeats are not free.
`ai_speech`read-only	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 was received. Thank you!, lang=en. Price $0.003/call via x402 USDC or a card key (/credits); failed calls free. Reads or computes only and changes nothing; each call is charged, so repeats are not free.
`ai_summarize_text`read-only	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 $0.003/call via x402 USDC or a card key (/credits); failed calls free. Reads or computes only and changes nothing; each call is charged, so repeats are not free.
`ai_translate`read-only	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 optional. Use to localise messages and documents. Example: text=Payment received, thank you!, to=sv, from=en. Price $0.003/call via x402 USDC or a card key (/credits); failed calls free. Reads or computes only and changes nothing; each call is charged, so repeats are not free.
`describe`read-only	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 $0.01/call via x402 USDC or a card key (/credits); failed calls free. Reads or computes only and changes nothing; each call is charged, so repeats are not free.
`image`read-only	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 at sunset, watercolor, steps=4. Price $0.02/call via x402 USDC or a card key (/credits); failed calls free. Reads or computes only and changes nothing; each call is charged, so repeats are not free.
`transcribe`read-only	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. Example: url=https://commons.wikimedia.org/wiki/Special:FilePath/En-us-hello.ogg. Price $0.02/call via x402 USDC or a card key (/credits); failed calls free. Reads or computes only and changes nothing; each call is charged, so repeats are not free.

Schemas: list_tools.

Also listed as

7 other active names share this repository: io.github.Nutshell2000/agent-data-tools, io.github.Nutshell2000/agent-data-tools-chain, io.github.Nutshell2000/agent-data-tools-compliance, io.github.Nutshell2000/agent-data-tools-everyday, io.github.Nutshell2000/agent-data-tools-prices, io.github.Nutshell2000/agent-data-tools-utilities, io.github.Nutshell2000/agent-data-tools-web

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Official server.json

{
  "name": "io.github.Nutshell2000/agent-data-tools-ai",
  "icons": [
    {
      "src": "https://agent-data-tools.revmesh2074.workers.dev/logo.png",
      "sizes": [
        "512x512"
      ],
      "mimeType": "image/png"
    }
  ],
  "title": "Agent Data Tools: AI",
  "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
  "remotes": [
    {
      "url": "https://agent-data-tools.revmesh2074.workers.dev/mcp/ai",
      "type": "streamable-http",
      "headers": [
        {
          "name": "Authorization",
          "isSecret": true,
          "description": "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)."
        }
      ]
    }
  ],
  "version": "1.41.0",
  "repository": {
    "url": "https://github.com/Nutshell2000/agent-data-tools",
    "source": "github"
  },
  "websiteUrl": "https://agent-data-tools.revmesh2074.workers.dev/",
  "description": "15 tools: LLM chat, summaries, translation, embeddings, speech, images. From $0.002."
}