US Fiscal Data▌
by quantgeekdev
Access and analyze US Treasury financial data, including 10 year treasury graphs, historical yields, and bond prices usi
Integrates with the US Treasury's Fiscal Data API to fetch, analyze, and generate reports on treasury statements and historical financial data.
Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.
best for
- / Financial analysts tracking government cash flows
- / Researchers studying federal treasury operations
- / Developers building finance applications with treasury data
capabilities
- / Fetch daily treasury statements for specific dates
- / Access 30 days of historical treasury data
- / Generate formatted treasury reports
- / Query US government financial records
- / Analyze treasury cash flows and balances
what it does
Connects to the US Treasury's Fiscal Data API to fetch daily treasury statements, access historical financial data, and generate formatted reports.
about
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.
how to install
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.
license
MIT
US Fiscal Data is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
readme
Overview
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:
- Tools for fetching specific treasury statements
- Resources for historical data access
- Prompts for generating formatted reports
Quick Start
1. Install and Use with Claude Desktop
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"]
}
}
}
2. Example Interactions
Once configured, you can interact with the server through Claude:
Human: Can you get the treasury statement for the 20th of September 2023?
Features
1. Daily Treasury Statements
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.
2. Historical Data Resource
Access 30 days of historical treasury data through the resource system:
- Automatically cached for 1 hour
- Updates on demand
- Provides formatted JSON data
3. Report Generation
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...
FAQ
- What is the US Fiscal Data MCP server?
- US Fiscal Data is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
- How do MCP servers relate to agent skills?
- Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
- How are reviews shown for US Fiscal Data?
- This profile displays 62 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.7 out of 5—verify behavior in your own environment before production use.
Use Cases▌
Extended AI Capabilities
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
Context Enhancement
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Workflow Automation
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
Implementation Guide▌
Prerequisites
- ›Claude Desktop 0.7.0+ or Cursor IDE with MCP support
- ›Basic understanding of MCP architecture and capabilities
- ›Access credentials for integrated services (if required)
- ›Willingness to experiment and iterate on configuration
Time Estimate
15-60 minutes depending on server complexity
Installation Steps
- 1.Install MCP server: npm install -g [package-name] or via GitHub
- 2.Add server configuration to ~/.claude/mcp.json
- 3.Provide required credentials and configuration
- 4.Restart Claude Desktop to load new server
- 5.Test basic functionality with simple prompts
- 6.Explore capabilities and experiment with use cases
- 7.Document successful patterns for reuse
Troubleshooting
- ⚠MCP server not loading: Check config syntax, verify installation
- ⚠Connection errors: Check network, firewall, credentials
- ⚠Feature not working: Read server docs, check required parameters
- ⚠Performance issues: Monitor resource usage, check for network latency
- ⚠Conflicts with other servers: Check port assignments, namespace collisions
Best Practices▌
✓ Do
- +Read server documentation thoroughly before setup
- +Start with simple use cases to validate functionality
- +Test in non-production environment first
- +Monitor resource usage and performance
- +Keep servers updated for bug fixes and new features
- +Document configuration for team members
- +Use environment variables for sensitive configuration
✗ Don't
- −Don't grant overly permissive access to MCP servers
- −Don't skip reading security considerations in docs
- −Don't expose sensitive data without proper controls
- −Don't run untrusted MCP servers without code review
- −Don't ignore error messages—investigate root cause
💡 Pro Tips
- ★Combine multiple MCP servers for powerful workflows
- ★Create custom MCP servers for your specific needs
- ★Share successful configurations with team
- ★Use MCP inspector for debugging
- ★Join MCP community for tips and troubleshooting
Technical Details▌
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
- Model Context Protocol (MCP)
- JSON-RPC 2.0
- stdio or HTTP transport
Compatibility
- Claude Desktop
- Cursor IDE
- Custom MCP clients
When to Use This▌
✓ 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.
Integration▌
- →Tool composition: Chain multiple MCP tools in workflows
- →Context augmentation: Provide AI with relevant external data
- →Action delegation: Let AI execute tasks on external systems
- →Bidirectional sync: Keep AI context and external systems in sync
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
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Ratings
4.7★★★★★62 reviews- ★★★★★Fatima Jain· Dec 20, 2024
Strong directory entry: US Fiscal Data surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Li Srinivasan· Dec 8, 2024
US Fiscal Data reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Liam Gonzalez· Dec 8, 2024
I recommend US Fiscal Data for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Dhruvi Jain· Dec 4, 2024
I recommend US Fiscal Data for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Dev Agarwal· Nov 27, 2024
US Fiscal Data is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Zara Harris· Nov 27, 2024
Strong directory entry: US Fiscal Data surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Oshnikdeep· Nov 23, 2024
Strong directory entry: US Fiscal Data surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Fatima Ghosh· Nov 11, 2024
I recommend US Fiscal Data for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Hassan Kim· Oct 18, 2024
Strong directory entry: US Fiscal Data surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Anika Rahman· Oct 18, 2024
US Fiscal Data is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
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