Kimi-K3
Kimi K3 is an open-weight, 2.8T-parameter native multimodal agentic model with a 1M-token context window, designed for frontier coding, knowledge work, and reasoning tasks.
它提供免费且无需 API 密钥的 MCP 端点,直接输出带有来源链接的实时金融数据,专为 AI 智能体设计,能生成可直接发布的社会帖文、机器人回复和新闻简报图表。
Marketcaper MCP gives AI agents fresh market data and something worth posting: cited cross-asset comparisons, asset snapshots, ready-to-publish comparison packs, and hosted stock heatmap images.
It is built for social-content agents, Telegram and Discord finance bots, newsletters, research assistants, and coding assistants that need current, source-linked finance context.
No API key is required for public read-only MCP access. Rate limits apply to protect the service.
Marketcaper MCP is not a trading system, investment adviser, portfolio monitor, backtesting engine, technical-analysis feed, news feed, or bulk extraction API. Do not use it to scrape all assets, power high-frequency workflows, automate trades, or monitor portfolios.
The public MCP server currently exposes:
get_asset_snapshot - resolve one asset and return current size context with source links.compare_assets - compare two assets on one size scale.compare_assets_pack - generate a content-ready comparison pack with short copy, citations, canonical URLs, and optional hosted image metadata.get_stock_heatmap - return stock heatmap summaries and optional hosted heatmap image metadata.See docs/tools.md for input and output guidance.
Use this endpoint in MCP-compatible clients:
https://marketcaper.com/api/mcp
Cursor or compatible mcp.json example:
{
"mcpServers": {
"marketcaper": {
"url": "https://marketcaper.com/api/mcp"
}
}
}
Codex CLI example:
codex mcp add marketcaper --url https://marketcaper.com/api/mcp
See docs/clients.md for client examples.
When you use Marketcaper data in generated
Finance data and heatmap images for AI Agents Hermes OpenClaw
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