stockup-mcp
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| STOCKUP_API_KEY | Yes | Your StockUp API key (starts with sk_quan_) |
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 | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| financial_reasoning_queryA | Send natural language financial prompts (e.g. stock valuations, sentiment audits, competitor comparisons, SEC filings analyses) to StockUp Quan AI, grounded with real-time stock quotes from Yahoo Finance. |
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 1 tool
With only one tool, there is no possibility for confusion between tools. The single tool's purpose is clear and unambiguous.
There is only one tool, so naming is trivially consistent. The name 'financial_reasoning_query' is descriptive and follows a clear pattern.
The server has only one tool, which is on the low side for a financial analysis server. It borders on being too few, but the tool is comprehensive in its scope.
The single tool covers many financial query types through natural language, but it lacks distinct tools for specific operations like getting raw data or performing structured actions, which limits the agent's ability to perform precise tasks.