MCP server

Agent Data Tools: AI

io.github.Nutshell2000/agent-data-tools-ai

Checked 28 Oct 2026, 09:03 UTC · Connected to it and listed its tools

25 tools: LLM chat, summaries, translation, embeddings, speech, images. 25 free calls.

Website Source

At a glance

Type

MCP server

Publisher

Not verified

Status

Working at last check

Tools

25

Token cost

About 6,758 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

28 Oct 2026, 09:03 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http agent-data-tools-ai https://agent-data-tools.revmesh2074.workers.dev/mcp/ai

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

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

Gemini CLI

{"mcpServers":{"agent-data-tools-ai":{"httpUrl":"https://agent-data-tools.revmesh2074.workers.dev/mcp/ai"}}}

Cursor

{"mcpServers":{"agent-data-tools-ai":{"url":"https://agent-data-tools.revmesh2074.workers.dev/mcp/ai"}}}

VS Code

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

Antigravity

agy mcp add agent-data-tools-ai https://agent-data-tools.revmesh2074.workers.dev/mcp/ai

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"agent-data-tools-ai","server_url":"https://agent-data-tools.revmesh2074.workers.dev/mcp/ai","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"agent-data-tools-ai","server_url":"https://agent-data-tools.revmesh2074.workers.dev/mcp/ai"}

Tools

• ai_classify ~203 tokens
  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 free. Reads or compu
• ai_keywords ~192 tokens
  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 is charged, so repea
• ai_model_deepseek_r1 ~330 tokens
  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-compatible /v1/chat/
• ai_model_gpt_oss_120b ~319 tokens
  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 account or provider ke
• ai_model_gpt_oss_20b ~319 tokens
  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 account or provider key.
• ai_model_mistral_small ~318 tokens
  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 provider key. Use w
• ai_model_qwen3_30b ~330 tokens
  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-compatible /v1/chat/
• ai_model_qwen_coder ~315 tokens
  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 provider key. Use when a
• ai_moderation ~263 tokens
  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. Also available in the
• ai_outline ~229 tokens
  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 key (/credits), first
• ai_rewrite ~255 tokens
  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 x402 USDC or a card
• ai_sentiment ~194 tokens
  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 x402 USDC or a card k

Browse

• GitHub tools
• SEO
• Website monitoring
• Converting to Markdown
• Payments

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