StelaSpace
StelaSpace is an HTML-first knowledge base for the artifacts AI agents create. This MCP server lets Claude Code, Claude Desktop, and Codex publish HTML files straight from your editor — it takes a file path and uploads from disk, so even large data-heavy reports work. Free tier available.
README
stelaspace-mcp
A local MCP server for publishing HTML files to StelaSpace from coding agents that work with your local files — Claude Code and Codex.
It runs on your machine, so it reads HTML files directly from disk by path and uploads the bytes via the StelaSpace API. That's what lets it publish large (1 MB+) reports and dashboards — unlike passing file contents as a tool argument, which is capped by the model's output size.
Claude Desktop (chat) isn't supported for publishing: its sandbox can't share files with a local MCP server, so it can't upload local reports. Use Claude Code or Codex, where the agent generates the report to disk and publishes it directly.
Tools
publish_file—{ path, spaceSlug, title?, slug?, tags?, visibility? }→ reads the file and returns its permanent URL. Reusing aslugpublishes a new version.list_spaces— list the spaces in your team.list_documents—{ spaceSlug, query? }— list documents in a space.
Setup
Get an API key from StelaSpace → Settings → API Keys (starts with ss_sk_).
Claude Code
claude mcp add stelaspace --scope user \
--env STELASPACE_API_KEY=ss_sk_your_key \
-- npx -y stelaspace-mcp
Codex
~/.codex/config.toml:
[mcp_servers.stelaspace]
command = "npx"
args = ["-y", "stelaspace-mcp"]
env = { STELASPACE_API_KEY = "ss_sk_your_key" }
Then ask the agent to build and publish a report, e.g. "generate the sales dashboard and publish the HTML to my reports space as public."
Environment
STELASPACE_API_KEY(required) — yourss_sk_key.STELASPACE_API_URL(optional) — override the API endpoint. Defaults tohttps://stelaspace.com; most users never need to set this.
推荐服务器
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。
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。
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。
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。
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。
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。
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。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
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。