mcpbeat

AI Toolkit MCP Server

com.agishub/ai-toolkit
answering

AI Toolkit is answering right now. Last checked 2 min ago. It exposes 6 tools. Last commit 31 Jul 2026.

AI tools for agents: chat, summarize, classify, entity extraction, embeddings, transcription. x402

Uptime history 40 hours of history
40 hours agonow
100.0%
Uptime 24h
92 of 92 checks
6
Tools
read from the server
1013 ms
Response time
average over 24h
1
Stars
last commit 31 Jul 2026

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 2 min ago.

run in your terminal
claude mcp add ai-toolkit --transport http https://api.agishub.com/mcp/ai
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "ai-toolkit": {
      "url": "https://api.agishub.com/mcp/ai"
    }
  }
}
~/.codex/config.toml
[mcp_servers.ai-toolkit]
url = "https://api.agishub.com/mcp/ai"
.cursor/mcp.json
{
  "mcpServers": {
    "ai-toolkit": {
      "url": "https://api.agishub.com/mcp/ai"
    }
  }
}
.vscode/mcp.json
{
  "mcpServers": {
    "ai-toolkit": {
      "url": "https://api.agishub.com/mcp/ai"
    }
  }
}

Available tools 6

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

chat
chat
Ask a general-purpose LLM a question or give it an instruction, with an optional system prompt. No external API key required.
classify
classify
Classify a text into exactly one of the candidate labels you provide (e.g. sentiment, topic, intent).
embed
embed
Turn text into a numeric embedding vector for semantic search, RAG and similarity. Multilingual.
extract
extract_entities
Extract named entities from text — people, organizations, locations, dates and miscellaneous — returned as structured JSON.
summarize
summarize
Summarize a block of text into a short abstract, with an optional target length. No external API key required.
transcribe
transcribe
Transcribe an audio file (given by public URL) to text. Handles mp3, wav, m4a, ogg and more.

Endpoints

URLTransportStateLatencyChecked
https://api.agishub.com/mcp/ai streamable-http answering 1431 ms 2 min ago

AI Toolkit — questions

Answers built from our own checks of this server.

What can AI Toolkit do?
It exposes 6 tools, read directly from the server on our last check. Among them: chat, classify, embed, extract_entities, summarize, transcribe. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →
Is AI Toolkit working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 92 of 92 checks got a reply (100.0%), average response time 1013 ms. The bar chart above shows every period we have measured.
How do I connect AI Toolkit?
Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does AI Toolkit need an API key?
No. AI Toolkit completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 6 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is AI Toolkit?
It answers our handshake in 1013 ms on average, which is faster than 5% of all working MCP servers we measure. That is on the slow side — worth knowing if the tool sits inside an interactive loop. The comparison comes from our own checks across the whole registry, every 15 minutes.
Is AI Toolkit open source?
Yes — it is published under the MIT licence, written in TypeScript and 1 stars on GitHub. The source link is on this page, so you can read exactly what it does with your data before you connect it.