Access and analyze US Treasury financial data, including 10 year treasury graphs, historical yields, and bond prices usi
Add new capabilities to Claude beyond text generation
Example: Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Provide Claude with access to relevant context and data
Example: Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Automate multi-step workflows combining AI and external tools
Example: Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Time estimate: 15-60 minutes depending on server complexity
Prerequisites
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Strong directory entry: US Fiscal Data surfaces stars and publisher context so we could sanity-check maintenance before adopting.
US Fiscal Data reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
I recommend US Fiscal Data for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
I recommend US Fiscal Data for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
US Fiscal Data is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
Strong directory entry: US Fiscal Data surfaces stars and publisher context so we could sanity-check maintenance before adopting.
Strong directory entry: US Fiscal Data surfaces stars and publisher context so we could sanity-check maintenance before adopting.
I recommend US Fiscal Data for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
Strong directory entry: US Fiscal Data surfaces stars and publisher context so we could sanity-check maintenance before adopting.
US Fiscal Data is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
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Claude Desktop configuration
{
"mcpServers": {
"fiscal-data": {
"command": "npx",
"args": [
"fiscal-data-mcp"
]
}
}
}Connects to the US Treasury's Fiscal Data API to fetch daily treasury statements, access historical financial data, and generate formatted reports.
US Fiscal Data is a community-built MCP server published by quantgeekdev that provides AI assistants with tools and capabilities via the Model Context Protocol. Access and analyze US Treasury financial data, including 10 year treasury graphs, historical yields, and bond prices usi It is categorized under finance, analytics data.
You can install US Fiscal Data in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
The Fiscal Data MCP Server demonstrates a practical implementation of an MCP server that connects to the US Treasury's Fiscal Data API. It showcases:
Add this configuration to your Claude Desktop config file:
MacOS: ~/Library/Application Support/Claude/claude_desktop_config.json
Windows: %APPDATA%/Claude/claude_desktop_config.json
{
"mcpServers": {
"fiscal-data": {
"command": "npx",
"args": ["fiscal-data-mcp"]
}
}
}
Once configured, you can interact with the server through Claude:
Human: Can you get the treasury statement for the 20th of September 2023?
Fetch treasury data for specific dates using the get_daily_treasury_statement tool:
// Example usage through Claude
Human: Get the treasury statement for 2024-03-01
Assistant: I'll fetch that information for you using the treasury statement tool.
Access 30 days of historical treasury data through the resource system:
Generate formatted treasury reports using the daily_treasury_report prompt:
// Example usage through Claude
Human: Generate a treasury report for 2024-03-01
Assistant: I'll use the daily treasury report prompt to create a formatted report...
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
Compatibility
✓ Use when
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid when
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.
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