io.github.Nutshell2000/agent-data-tools-ai
up checked
Unclaimed · Unverified
Agent searches it appeared in, last 30 days: 0. Run this server? Claim the listing: verified label, uptime alerts and analytics.
Publisher-provided title
Agent Data Tools: AI
Publisher-provided description
34 tools: LLM chat, summaries, translation, embeddings, speech, images. 25 free calls.
Summary by lookupd
Gives agents hosted LLM chat, web-grounded answers, summaries, translation, embeddings, moderation, speech, image generation and…
Install
Claude Code, remote (streamable-http)
claude mcp add --transport http agent-data-tools-ai https://agent-data-tools.revmesh2074.workers.dev/mcp/ai
Codex, remote (streamable-http)
codex mcp add agent-data-tools-ai --url https://agent-data-tools.revmesh2074.workers.dev/mcp/ai
Cursor, remote (streamable-http) → .cursor/mcp.json
{
"mcpServers": {
"agent-data-tools-ai": {
"url": "https://agent-data-tools.revmesh2074.workers.dev/mcp/ai"
}
}
}Other clients: docs. Or tell your agent: Set up lookupd for me: read https://lookupd.com/agent.md and follow it.
Tools (showing 30 of 34)
Publisher-provided text
ai_chatSend 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 temperai_chat_largeSend 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 outpai_embedA 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, clusteringtranscribeTranscribe speech from an audio file at a public URL using Whisper large-v3-turbo. Returns the transcript text, detected language, duration and word count. Acceai_speechTurn up to 300 characters of text into natural, human-sounding speech as an MP3 (base64), in English (40 voices) or Spanish (10 voices), with Deepgram Aura-2. PimageText-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, adescribeVision 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_textSummarize 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 (foai_translateTranslate 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 aai_extract_jsonPull 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 turai_answerAnswer 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_checkCheck 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, contratext_to_speechText to speech for a paragraph or a page: turn up to 2,000 characters of text into natural, human-sounding speech as one MP3 (base64), in English (40 voices) orai_rerankOrder 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 JSOai_moderationClassify 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, childai_ttsText to speech API: turn up to 300 characters of text into natural, human-sounding speech as an MP3 (base64) with Deepgram Aura-2 voices, in English (40 voices)ai_summarizeSummarize text with an LLM: send up to 12,000 characters and get a short summary plus bullet key points. Use for long emails, articles, transcripts, meeting notai_sentiment_analysisSentiment analysis of text: positive or negative with a confidence score, from a DistilBERT model fine-tuned on SST-2, for English text. Use to classify reviewsai_translate_textTranslate text between languages with an open LLM (gpt-oss-20b; M2M100 for less common languages): the source language is detected, the target is an ISO code suai_embeddingsText embeddings API: a 1,024-dimension vector for up to 4,000 characters of text in 100+ languages (BAAI BGE-M3), also OpenAI-compatible at /v1/embeddings. Useimage_generateGenerate an image from a text prompt with FLUX.1 schnell: send a prompt, get a 1024x1024 JPEG back as base64 in a few seconds, with an optional steps setting (1llm_chatLLM chat completion and text generation: send a prompt (or an OpenAI messages array with tools and JSON mode) and get an answer from Meta's Llama 4 Scout, up tollm_inferenceLLM inference with a large open model: send a prompt (optional system prompt, up to 1,024 output tokens) and get an answer from Llama 3.3 70B Instruct or OpenAIai_model_qwen3_30bChat 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_20bChat 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_120bChat 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 answerai_model_mistral_smallChat 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 1ai_model_qwen_coderChat 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 1,0ai_model_deepseek_r1Chat 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, uai_sentimentPositive 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
Changes
Newest first, as lookupd saw them
- : version 1.133.0 → 1.135.0
- : version 1.132.0 → 1.133.0
- : version 1.131.0 → 1.132.0
- : version 1.128.0 → 1.131.0
- : version 1.126.0 → 1.128.0
- : version 1.122.0 → 1.123.0
Details
- Version: 1.135.0
- Transports: streamable-http
- Uptime (7 days): 100%
- Median latency: 897 ms
- First indexed:
- Last seen in registry:
- Repository: https://github.com/Nutshell2000/agent-data-tools
- Website: https://agent-data-tools.revmesh2074.workers.dev/
Badge for your README
Shows this live status and links here; updates hourly.
[](https://lookupd.com/servers/io.github.Nutshell2000/agent-data-tools-ai)
- 62033 servers
- Last crawl: 2026-11-11T15:38:39.561Z
- API base:
https://api.lookupd.com - MCP URL:
https://api.lookupd.com/mcp