Financial news, SEC filings, earnings call transcripts, fundamentals, sentiment, market data and stock research for AI, with every answer cited. The sources that move markets.
Chain API calls across services in natural language
Example: Fetch GitHub issues, create Jira tickets, post summary to Slack—all in one conversation
Automate cross-platform workflows without writing integration code
Keep data in sync across multiple platforms
Example: Sync CRM contacts to email marketing tool, update inventory across e-commerce platforms
Eliminate manual data entry and sync errors
Learn and test APIs conversationally
Example: Explore Stripe API endpoints, test with sample data, debug authentication
Reduce API integration development time by 50%
Monitor API endpoints and trigger actions
Example: Check website uptime, monitor API rate limits, alert on service errors
Catch issues before customers do
Time estimate: 20-45 minutes per API integration
EasyPost
Make smarter shipping decisions, instantly
Rockhopper
The audit trail and governance layer for every file your team and your AI touch.
Pi Security
Agentic product security platform
atlasFindings
Search, investigate, and act on Atlas data
Mantic
Explore judgemental forecasts
Mastercard Developers
Up-to-date Mastercard APIs, docs, and guides
Useful MCP listing: Bigdata.com is the kind of server we cite when onboarding engineers to host + tool permissions.
According to our notes, Bigdata.com benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
We wired Bigdata.com into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
I recommend Bigdata.com for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
I recommend Bigdata.com for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
Bigdata.com reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
I recommend Bigdata.com for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
According to our notes, Bigdata.com benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
Useful MCP listing: Bigdata.com is the kind of server we cite when onboarding engineers to host + tool permissions.
I recommend Bigdata.com for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
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Manual configuration
{
"mcpServers": {
"bigdata": {
"url": "https://mcp.bigdata.com/"
}
}
}Sign in: Required.
Financial news, SEC filings, earnings call transcripts, fundamentals, sentiment, market data and stock research for AI, with every answer cited. The sources that move markets.
Prerequisites
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
MCP server wraps external APIs, handles authentication, rate limiting, and error handling, exposing clean interface to Claude.
Protocols
Compatibility
✓ Use when
Use for multi-service workflows, data synchronization, API testing, and when building no-code integrations. Best for connecting 2+ services conversationally.
✗ Avoid when
Avoid for high-frequency real-time integrations (use native webhooks), when API latency is critical, or for complex transaction logic requiring guaranteed consistency.