A Model Context Protocol (MCP) server that provides AI assistants with real-time financial market data through Yahoo Finance.
Financial Data becomes available to MCP clients through the financial data mcp server. A Model Context Protocol (MCP) server that provides AI assistants with real-time financial market data through Yahoo Finance.
A Model Context Protocol (MCP) server that provides AI assistants with real-time financial market data through Yahoo Finance.
Once connected, the assistant can call these 2 tools directly:
Comparison — The Comparison tool exposed by this serverUtility — The Utility tool exposed by this serverThe server is distributed via PyPI as yfinance, so most clients can run it without a manual build step. Add it to your MCP client's configuration and restart the client to pick it up — the copy-paste configs for Claude Desktop, Claude Code and Cursor are on this page.
The server reads one environment variable: PYTHONUNBUFFERED. Keep credentials in your client's env block or a secrets manager rather than committing them.
Developer-tool servers are usually the first ones people connect, because they turn "help me with this code" into an assistant that can actually read the repo and act on it. Financial Data sits in that group, and the shape of its toolset — Comparison, Utility — tells you what it is really for. Worth comparing against the other developer tools servers in this directory before you commit to one, since several overlap in scope but differ sharply in setup cost and permissions.
| Tool | What it does |
|---|---|
| Comparison | The Comparison tool exposed by this server. |
| Utility | The Utility tool exposed by this server. |
{
"mcpServers": {
"financial-data": {
"command": "uvx",
"args": ["yfinance"],
"env": {
"PYTHONUNBUFFERED": "your-value"
}
}
}
}Add to claude_desktop_config.json, then restart Claude Desktop.
| Variable | Description | Required |
|---|---|---|
| PYTHONUNBUFFERED | Configuration value read at startup. | Optional |
A knowledge graph your assistant keeps between sessions — entities, relations and observations that persist.
Kill hallucinated APIs — version-accurate, up-to-date library documentation injected straight into context.
Your workspace, on speaking terms with AI — search, read and write Notion pages and databases.
A structured scratchpad for hard problems — stepwise reasoning with revisions, branches and visible logic.
Symbol-level code navigation, refactoring and memory for coding agents — the IDE brain your assistant has been missing.
Chat with your second brain — search, read and write vault notes through the Local REST API.