by earningsfeed
EarningsFeed — Real-time access to SEC filings and insider trades, including 10-K, 10-Q, 8-K and Form 4 documents for ti
★ —
GitHub stars
Provides real-time access to SEC filings and insider trading data directly from official sources. Lets you query and retrieve corporate financial documents without manual searching.
EarningsFeed is an official MCP server published by earningsfeed that provides AI assistants with tools and capabilities via the Model Context Protocol. EarningsFeed — Real-time access to SEC filings and insider trades, including 10-K, 10-Q, 8-K and Form 4 documents for ti
You can install EarningsFeed 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 supports remote connections over HTTP, so no local installation is required.
MIT
EarningsFeed is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
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
Share your MCP server with the developer community
We evaluated EarningsFeed against two servers with overlapping tools; this profile had the clearer scope statement.
EarningsFeed is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
EarningsFeed reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
EarningsFeed is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
According to our notes, EarningsFeed benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
EarningsFeed has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
According to our notes, EarningsFeed benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
We wired EarningsFeed into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
EarningsFeed is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
EarningsFeed has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
showing 1-10 of 60
Prerequisites
Time Estimate
15-60 minutes depending on server complexity
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.
