Hermai MCP

Hermai MCP

Enables agent runtimes to look up, classify, and fetch Hermai schemas as MCP tools, including read-only data retrieval via hosted endpoints (with optional API key).

Category
访问服务器

README

Hermai MCP

Dedicated Model Context Protocol server for Hermai.

Use this package when an agent runtime supports MCP and should call Hermai as native tools. The Hermai CLI is a separate human/operator tool and is not required for MCP.

Install

Run directly with npx:

npx -y hermai-mcp

Or install globally:

npm install -g hermai-mcp
hermai-mcp

MCP Client Config

{
  "mcpServers": {
    "hermai": {
      "command": "npx",
      "args": ["-y", "hermai-mcp"]
    }
  }
}

Optional environment variables:

  • HERMAI_API_BASE or HERMAI_PLATFORM_URL: API base URL. Defaults to https://api.hermai.ai.
  • HERMAI_API_KEY or HERMAI_PLATFORM_KEY: API key for authenticated Hermai APIs. Public schema lookup and schema-request intake work without a key. Setting a key also unlocks the fetch_schema execution tool (see below).
  • HERMAI_FETCH_TIMEOUT_MS: request timeout for fetch_schema. Defaults to 120000 (hosted fetch lanes can run tens of seconds).

Tools

Always available (no key required):

  • lookup_schema — search Hermai schemas by domain, task, category, or verification state.
  • list_public_schemas — page through public schemas.
  • submit_schema_request — submit the six-field intake for a brittle browser/API workflow.
  • classify_browser_workflow — locally classify whether a workflow maps to direct API, hidden endpoint, browser-only, or owner/auth work.
  • check_schema_request_status — check a schema request status.

Available only when HERMAI_API_KEY (or HERMAI_PLATFORM_KEY) is set:

  • fetch_schema — execute a registered schema through hosted /v1/fetch and return live data. Read-only data retrieval, and it consumes Hermai credits: a standard call costs 1 credit and some higher cost sites cost 5; only successful calls are billed. Inputs: site, endpoint (resolve both with lookup_schema first; endpoint is case-sensitive), and optional params. The result includes the upstream data plus a meta summary (credits_used, credits_remaining, latency_ms, cached); failures surface the API code and message, plus upgrade_to and upgrade_url when a credit 402 offers an upgrade path. Use it for read workflows only — write/owner-approved workflows go through the Hermai CLI's signed-write path, not this tool.

Never submit cookies, bearer tokens, API keys, session IDs, or private session data through schema-request intake.

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选