Stockflow (Yahoo Finance)
This StockFlow MCP server, developed by Todd Wolven, provides AI assistants with real-time stock market data and analysis capabilities through the Yahoo Finance API. Built with Python and leveraging libraries like yfinance and pandas, it offers tools for retrieving comprehensive stock information, historical price data, and options chain analysis. The server implements robust error handling, data processing, and API rate limiting. By abstracting financial data retrieval and analysis, it allows AI systems to easily incorporate stock market insights into their workflows. This implementation is particularly valuable for financial analysts, algorithmic traders, and AI assistants focused on investment research, enabling use cases such as portfolio analysis, options strategy evaluation, and real-time market monitoring.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- finance
- Source
- PulseMCP
- Repository
- github.com/twolven/mcp-stockflow
- Author type
- human
- Updated
- 2026-04-25
Use via MCP
Resolve Stockflow (Yahoo Finance) from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp --scope user for --scope project to commit it to .mcp.json.