data.gov MCP server
Read-only access to approved federal APIs using the data.gov API gateway. Provides tools to call federal APIs and retrieve rate limit information.
README
data.gov MCP server for Copilot Studio
This MCP server gives Microsoft Copilot Studio agents read-only access to federal APIs that use the api.data.gov authentication model.
The GitHub repository contains the source code only. Copilot Studio cannot connect directly to a GitHub repository; deploy the server to a public HTTPS host first.
MCP tools
call_federal_api: Make a guarded HTTPS GET request to a.govor.milAPI.get_rate_limit_info: Call an endpoint and expose theX-RateLimit-*headers.
Required environment variables
| Variable | Purpose |
|---|---|
DATA_GOV_API_KEY |
Your outbound data.gov key. Use DEMO_KEY only for light testing. |
MCP_SERVER_API_KEY |
A separate secret that Copilot Studio sends to this MCP server. |
MCP_TRANSPORT |
Set to streamable-http for Copilot Studio. |
Optional variables include MCP_HOST (default 127.0.0.1), MCP_PORT (default 8000), MCP_PATH (default /mcp), MCP_ALLOWED_HOSTS (comma-separated host allowlist), and DATA_GOV_ALLOWED_HOSTS (comma-separated federal API host allowlist). Set MCP_HOST=0.0.0.0 only inside a container behind HTTPS ingress.
Do not use the data.gov key as the MCP server key. Store both as deployment secrets.
Deploy with Docker
Build and run locally:
docker build -t data-gov-mcp .
docker run --rm -p 8000:8000 `
-e MCP_TRANSPORT=streamable-http `
-e MCP_SERVER_API_KEY="replace-with-a-long-random-secret" `
-e DATA_GOV_API_KEY="your-data-gov-key" `
data-gov-mcp
The local MCP endpoint is:
http://localhost:8000/mcp
Copilot Studio requires a publicly reachable HTTPS endpoint. Azure Container Apps, Azure App Service, or another HTTPS container host can run the included Dockerfile. Configure the deployment to expose port 8000, set the required environment variables as secrets, and use the resulting URL ending in /mcp.
For production, set MCP_ALLOWED_HOSTS to the exact public host and keep MCP_SERVER_API_KEY out of source control and container images.
Add the server to Microsoft Copilot Studio
Microsoft currently supports the Streamable HTTP transport for existing MCP servers. SSE is no longer supported for Copilot Studio.
- Open the agent in Copilot Studio.
- Turn on Generative orchestration.
- Open Tools and select Add a tool > New tool > Model Context Protocol.
- Enter:
- Server name:
data.gov Federal APIs - Description:
Read-only access to approved federal APIs using the data.gov API gateway. - Server URL:
https://YOUR_PUBLIC_HOST/mcp
- Server name:
- Select API key authentication.
- Select Header and set the header name to
X-MCP-API-Key. - Enter the same value configured in the deployment's
MCP_SERVER_API_KEY. - Select Create, choose Create a new connection, then select Add to agent.
- Review the discovered tools and test the agent with a narrow request, such as asking for one current record from a known federal API.
The server uses its private DATA_GOV_API_KEY when calling the downstream federal API. Do not ask Copilot Studio users to provide that key.
Local stdio mode
For local MCP clients that launch a process directly, stdio remains available:
py -m venv .venv
.\.venv\Scripts\Activate.ps1
py -m pip install -r requirements.txt
$env:DATA_GOV_API_KEY = "DEMO_KEY"
py server.py
Leave MCP_TRANSPORT unset for stdio mode. Use MCP_TRANSPORT=streamable-http only when running as a network service.
Security notes
- Only HTTPS federal hosts are allowed by default for downstream requests.
- Private, loopback, link-local, multicast, and reserved downstream addresses are rejected.
- Responses are limited to 5 MB to protect server and agent memory.
- The Copilot Studio-facing endpoint requires
X-MCP-API-Key. - Caller-supplied
api_keyquery parameters are rejected; only the server-held key is used. - The data.gov API key is sent only from the server to the downstream API and is never returned as a tool result.
- Apply Power Platform data policies to control external connector access in Copilot Studio.
References:
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。