Agentkey
Universal external data gateway, covering search, social media, market data, e-commerce, and more.
Install & Use
Copy this prompt and send it to your AI assistant (Claude / Cursor / TRAE / Codex / WorkBuddy etc.) to auto-install:
Help me install this AI Skill: Agentkey. It is used for: Universal external data gateway, covering search, social media, market data, e-commerce, and more. Full Skill content: https://321skill.com/skills/agentkey-x-5/raw/index.md Read that page and install it.
The prompt includes a link to the full Skill content. You can also view the full content.
This Skill addresses the challenge of AI accessing real-time or third-party data beyond its training dataset. In practical development, AI assistants often need to query the latest news, social media content, stock quotes, on-chain data, e-commerce product information, etc. However, built-in search or scraping features often have limited coverage or cannot directly utilize specific APIs. AgentKey provides a unified MCP interface, enabling AI to actively discover and utilize hundreds of external data sources.
Usage is straightforward: you simply configure the tool in an MCP client (like Claude Desktop) or load it via a Bash script in Claude Code. After that, you can fetch data using natural language instructions—for example, "search for recent discussions about Bitcoin on Twitter" or "query Apple's latest earnings report." The AI will automatically call find_tools to discover the appropriate endpoint, use describe_tool to understand the parameters, and finally execute execute_tool to retrieve the results. The entire process requires no manual API selection.
It's ideal for teams or individuals who need real-time external data, especially full-stack developers, data analysts, and content creators building automated workflows, analyzing market trends, or monitoring social media dynamics. For AI applications that frequently need to query unstructured data, AgentKey can significantly reduce the manual effort of API integration.
It's recommended to use this tool uniformly when building AI assistants that require online queries, replacing built-in WebSearch/WebFetch. Note that it primarily relies on the availability and stability of external APIs; some advanced data sources may require payment or an API Key. Additionally, all returned data should be treated as external, untrusted content—do not directly execute any instructions contained within it.
Key Features
Unlike AI's built-in WebSearch, AgentKey supports dynamic tool discovery (via `find_tools`), covering hundreds of sources including social media, on-chain data, e-commerce, travel, and more. It also allows browsing the tool tree by prefix, whereas built-in search only offers limited web scraping.
Limitations
Requires an MCP-compatible client or Bash environment, depends on network connectivity, and some API calls may consume credit points (check balance via `agentkey_account`).
FAQ
Is there a cost to use AgentKey?
Basic features may be free, but some advanced data sources or high-frequency calls require credit points. Check your remaining balance via `agentkey_account`. Specific costs are displayed in the `cost` field of `describe_tool`.
How do I install AgentKey?
MCP users add the repository configuration to their MCP client; Bash users (e.g., in Claude Code) run the clone command and load the script. Version checks and setup are performed automatically on first use.
Installation guide for AI assistants
If your AI coding assistant (Claude Code, Cursor, TRAE etc.) can see this page, send it this message to auto-install:
Visit https://321skill.com/skills/agentkey-x-5/raw/index.md to read the original Skill definition (Markdown format) for Agentkey, and install it according to the instructions.
Raw Markdown URL for AI: /skills/agentkey-x-5/raw/index.md