AI Skill Hub 推荐使用:开源MCP工具:US Congress Trading API 是一款优质的MCP工具。AI 综合评分 7.5 分,在同类工具中表现稳健。如果你正在寻找可靠的MCP工具解决方案,这是一个值得深入了解的选择。
本项目提供了一个开源的MCP工具,用于爬取美国国会交易数据,方便开发者使用。
开源MCP工具:US Congress Trading API 是一款遵循 MCP(Model Context Protocol)标准协议的 AI 工具扩展。通过 MCP 协议,它可以让 Claude、Cursor 等主流 AI 客户端直接访问和操作外部工具、数据源和服务,实现 AI 能力的无缝扩展。无论是文件操作、数据库查询还是 API 调用,都可以通过自然语言在 AI 对话中直接触发,极大提升生产效率。
本项目提供了一个开源的MCP工具,用于爬取美国国会交易数据,方便开发者使用。
开源MCP工具:US Congress Trading API 是一款遵循 MCP(Model Context Protocol)标准协议的 AI 工具扩展。通过 MCP 协议,它可以让 Claude、Cursor 等主流 AI 客户端直接访问和操作外部工具、数据源和服务,实现 AI 能力的无缝扩展。无论是文件操作、数据库查询还是 API 调用,都可以通过自然语言在 AI 对话中直接触发,极大提升生产效率。
# 方式一:通过 Claude Code CLI 一键安装
claude skill install https://github.com/johnisanerd/Apify-Congressional-Trading-Data-Scraper
# 方式二:手动配置 claude_desktop_config.json
{
"mcpServers": {
"--mcp---us-congress-trading-api": {
"command": "npx",
"args": ["-y", "apify-congressional-trading-data-scraper"]
}
}
}
# 配置文件位置
# macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
# Windows: %APPDATA%/Claude/claude_desktop_config.json
# 安装后在 Claude 对话中直接使用 # 示例: 用户: 请帮我用 开源MCP工具:US Congress Trading API 执行以下任务... Claude: [自动调用 开源MCP工具:US Congress Trading API MCP 工具处理请求] # 查看可用工具列表 # 在 Claude 中输入:"列出所有可用的 MCP 工具"
// claude_desktop_config.json 配置示例
{
"mcpServers": {
"__mcp___us_congress_trading_api": {
"command": "npx",
"args": ["-y", "apify-congressional-trading-data-scraper"],
"env": {
// "API_KEY": "your-api-key-here"
}
}
}
}
// 保存后重启 Claude Desktop 生效
1. Clone the repository
git clone https://github.com/johnisanerd/Apify-Congressional-Trading-Data-Scraper.git
cd Apify-Congressional-Trading-Data-Scraper
2. Install dependencies with UV
# Install UV if you do not have it:
curl -LsSf https://astral.sh/uv/install.sh | sh
# Install project dependencies:
uv sync
3. Configure your API key
cp .env.example .env
# Edit .env and add your Apify API key
# Get your free API key at: https://apify.com?fpr=9n7kx3
4. Run the example
uv run python congress-stock-trades-scraper.py

Cowork is the desktop app's automation mode. To give it the Congress Trading API as a tool, add the Apify MCP server as a connector.
1. Open the Claude desktop app and go to Settings → Connectors (or Settings → Developer → Edit Config to edit claude_desktop_config.json directly). - macOS: ~/Library/Application Support/Claude/claude_desktop_config.json - Windows: %APPDATA%\Claude\claude_desktop_config.json 2. Add the Apify MCP server, preloaded with only this Actor:
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"-y",
"mcp-remote",
"https://mcp.apify.com/?tools=actors,docs,johnvc/us-congress-financial-disclosures-and-stock-trading-data"
]
}
}
}
Download the desktop app and start a free trial: https://claude.ai/referral/uIlpa7nPLg More help: https://docs.apify.com/platform/integrations/claude-desktop

Claude Code is the command-line tool. Add the Actor's MCP server with one command:
claude mcp add --transport http apify \
"https://mcp.apify.com/?tools=actors,docs,johnvc/us-congress-financial-disclosures-and-stock-trading-data"
To use a token instead of browser OAuth:
claude mcp add --transport http apify \
"https://mcp.apify.com/?tools=actors,docs,johnvc/us-congress-financial-disclosures-and-stock-trading-data" \
--header "Authorization: Bearer YOUR_APIFY_TOKEN"
Then verify with claude mcp list, or run /mcp inside a session. Ask Claude Code to call the Congress Trading API.
Try Claude Code free: https://claude.ai/referral/uIlpa7nPLg Claude Code MCP docs: https://code.claude.com/docs/en/mcp

On claude.ai you add Apify as a connector, then enable just this Actor's tool.
johnvc/us-congress-financial-disclosures-and-stock-trading-data.https://mcp.apify.com/?tools=actors,docs,johnvc/us-congress-financial-disclosures-and-stock-trading-data, using OAuth when prompted.Open Claude on the web: https://claude.ai

Cursor reads MCP servers from a project file at .cursor/mcp.json.
.cursor/mcp.json:{
"mcpServers": {
"apify": {
"url": "https://mcp.apify.com/?tools=actors,docs,johnvc/us-congress-financial-disclosures-and-stock-trading-data"
}
}
}
{
"mcpServers": {
"apify": {
"url": "https://mcp.apify.com/?tools=actors,docs,johnvc/us-congress-financial-disclosures-and-stock-trading-data",
"headers": { "Authorization": "Bearer YOUR_APIFY_TOKEN" }
}
}
}
New to Cursor? Get it here: https://cursor.com/referral?code=XQP4VBLI3NNX

ChatGPT connects to the Apify MCP server through Developer mode (available on ChatGPT Pro, Plus, Business, Enterprise, and Education plans).
1. Click your profile icon, then go to Settings > Apps. If you do not see a Create app button, open Advanced settings and enable Developer mode. 2. Click Create app and fill out the form: - Name: Apify - MCP Server URL: https://mcp.apify.com/?tools=actors,docs,johnvc/us-congress-financial-disclosures-and-stock-trading-data - Authentication: OAuth 3. Click Create and authorize the connection with Apify. 4. To use the app in a conversation, click + in the chat, choose Developer mode, and select Apify.
More help: https://docs.apify.com/platform/integrations/mcp
---
Use the Congress Trading API to power transparency, research, and compliance workflows with reliable, structured results.
Last Updated: 2026.06.10
The most recent disclosures across all members. This is the cheapest way to try the API.
{
"Max_Results": 10
}
The most efficient, reliable, and developer-friendly way to use the Congress Trading API.
Actor page: apify.com/johnvc/us-congress-financial-disclosures-and-stock-trading-data Input schema: apify.com/johnvc/us-congress-financial-disclosures-and-stock-trading-data/input-schema
The Congress Trading API returns US Congressional Periodic Transaction Reports (PTRs) as clean, structured JSON. Each row is one disclosed transaction: the member name and chamber, state and district, asset and ticker, transaction type, reported amount range, transaction and notification dates, ownership, and filing IDs. Filter by member name, ticker, an exact date, or a date range. Data is normalized from official US House and Senate financial disclosure filings under the STOCK Act.
Both chambers, one schema. House and Senate Periodic Transaction Reports are normalized into a single, queryable shape, so you analyze all of Congress with one parser instead of two filing systems.
Powerful filters. Narrow by member first or last name, by stock ticker, by an exact transaction date, or by a date range. Combine them to answer questions like "every NVDA trade this member made in 2024."
Audit-ready structured JSON. One row per transaction, with the reported amount range exactly as filed, plus filing and document IDs and per-run search metadata for traceable, reproducible pulls.
Predictable, pay-per-use pricing. Billing is per run plus per transaction returned, with no monthly rental. You control cost directly with Max_Results.
Easy to automate. Call it from Python in a few lines, or load it as an MCP tool so assistants like Claude and Cursor can pull Congressional trades for you on demand.
| Field | Meaning |
|---|---|
Transaction_Type | P = purchase, S = sale, S (partial) = partial sale, E = exchange |
Asset_Type_Code | ST stock, OP options, MF mutual fund, BD bond, ET ETF, CT crypto |
Owner | SP spouse, DC dependent child, JT joint, blank = the member |
Amount_Range | Reporting bracket, e.g. $1,001 - $15,000. Members report ranges, not exact values |
House | House or Senate |
PDF_Quality | text (machine-readable filing) or image (OCR-required filing) |
---
export APIFY_API_TOKEN="your_api_key_here"
uv run python congress-stock-trades-scraper.py
本项目提供了一个开源的MCP工具,方便开发者爬取美国国会交易数据,值得关注。
AI Skill Hub 为第三方内容聚合平台,本页面信息基于公开数据整理,不对工具功能和质量作任何法律背书。
建议在沙箱或测试环境中充分验证后,再部署至生产环境,并做好必要的安全评估。
✅ MIT 协议 — 最宽松的开源协议之一,可自由商用、修改、分发,仅需保留版权声明。
总体来看,开源MCP工具:US Congress Trading API 是一款质量良好的MCP工具,在同类工具中具备一定竞争力。AI Skill Hub 将持续追踪其更新动态,建议收藏备用,结合自身场景选择合适时机引入使用。
| 原始名称 | Apify-Congressional-Trading-Data-Scraper |
| 原始描述 | 开源MCP工具:US Congress Trading API on Apify - Python (uv) + MCP example. Congressional stoc。⭐8 · Python |
| Topics | mcpapiapifypython |
| GitHub | https://github.com/johnisanerd/Apify-Congressional-Trading-Data-Scraper |
| License | MIT |
| 语言 | Python |
收录时间:2026-06-07 · 更新时间:2026-06-07 · License:MIT · AI Skill Hub 不对第三方内容的准确性作法律背书。
选择 Agent 类型,复制安装指令后粘贴到对应客户端