StockFlow MCP Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": true
} |
| logging | {} |
| prompts | {
"listChanged": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
| extensions | {
"io.modelcontextprotocol/ui": {}
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| get_stock_data_v2B | Get stock metadata and optional statements, analysis and calendar data. |
| get_historical_data_v2C | Get unadjusted/repaired price history and technical indicators. |
| get_options_chain_v2B | Get an option chain and optionally add theoretical European Black-Scholes Greeks. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 3 tools
Each tool targets a clearly distinct data domain: metadata/statements, historical prices/indicators, and options chains. There is no functional overlap between the three tools, so an agent can reliably select the correct one.
All tool names follow the exact same get_<resource>_v2 pattern, with consistent snake_case and a uniform version suffix. This makes the naming scheme highly predictable and easy to navigate.
Three tools is a modest but reasonable scope for a focused stock data server. The count is on the lower end, but each tool covers a substantial area, so it does not feel overly thin.
The main investment data workflows—current company data, historical prices, and options—are all covered. Minor gaps such as ticker search or news endpoints exist, but they are not critical dead ends for typical stock analysis use cases.