mcp-yeoman
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| GENERATOR_DIR | No | Specify a persistent directory for installing Yeoman generators. By default, generators are installed in a temporary directory that is removed when the operation completes. Using a persistent directory can improve performance for repeated operations with the same generators. |
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
Server capabilities have not been inspected yet.
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| get_ticker_infoC | Retrieve information about a specific stock symbol using Yahoo Finance API. |
| get_ticker_newsC | Fetches news articles for a given stock ticker symbol. |
| search_quoteC | Search for quotes using a query string. |
| search_newsC | Search for news articles using a query string. |
| get_top_etfsC | Retrieve the top ETFs in a specific sector. |
| get_top_mutual_fundsB | Retrieve the top mutual funds in a specific sector. |
| get_top_companiesC | Retrieve the top companies in a specific sector. |
| get_top_growth_companiesC | Retrieve the top growth companies in a specific sector. |
| get_top_performing_companiesC | Retrieve the top performing companies in a specific sector. |
| analyze_sentimentC | You are a sentiment analysis tool. Based on the provided rationale, analyze the sentiment for the given stock symbol. Please ensure that your analysis is objective and unbiased. Return the result in the following formatted output. |
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 10 tools
Most tools have distinct purposes focused on different financial data types (sentiment, ticker info, news, top lists by sector), but there is some overlap between get_ticker_news and search_news which could cause confusion about when to use each. The other tools are clearly differentiated by their target data or function.
All tools follow a consistent snake_case naming pattern with clear verb_noun structure (e.g., analyze_sentiment, get_ticker_info, search_news). The naming is predictable and readable throughout the set, with no mixing of conventions or styles.
With 10 tools, this server is well-scoped for financial data analysis, covering sentiment, ticker information, news, and various top lists by sector. Each tool serves a specific purpose without redundancy, and the count is typical for a domain-focused server.
The toolset provides comprehensive coverage for financial data retrieval and analysis, including sentiment, ticker details, news, and sector-based rankings. A minor gap is the lack of tools for historical price data or portfolio management, but core workflows for research and monitoring are well-supported.