Finmap 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
Server capabilities have not been inspected yet.
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| list_exchangesB | Return supported exchanges with IDs, names, country, currency, earliest available date, and update frequency. |
| list_sectorsC | List available business sectors for an exchange on a specific date, including item counts. |
| list_tickersC | Return company tickers and names for an exchange on a specific date, grouped by sector. |
| search_companiesB | Find companies by partial name or ticker on an exchange and return best matches |
| get_market_overviewC | Get total market cap, volume, value, and performance for an exchange on a specific date with a sector breakdown. |
| get_sectors_overviewC | Get aggregated performance metrics by sector for an exchange on a specific date. |
| get_stock_dataC | Get detailed market data for a specific ticker on an exchange and date, including price, change, volume, value, market cap, and trades. |
| rank_stocksC | Rank stocks on an exchange by a chosen metric (marketCap, priceChangePct, volume, value, numTrades) for a specific date with order and limit. |
| get_company_profileA | Get business description, industry, and background for a US-listed company by ticker. |
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 9 tools
Each tool has a clearly distinct purpose targeting specific financial data retrieval operations. For example, get_company_profile focuses on business background, get_stock_data on detailed market metrics, and rank_stocks on comparative ranking - there's no functional overlap that would cause agent confusion.
All tools follow a consistent verb_noun naming pattern (get_, list_, rank_, search_) with clear, descriptive nouns. The naming convention is uniformly applied across all nine tools, making them predictable and easily parsable by agents.
Nine tools is an ideal number for this financial data server's scope. It provides comprehensive coverage without being overwhelming, with each tool serving a distinct, necessary function in the financial data analysis workflow.
The toolset provides excellent coverage for financial data retrieval and analysis, including company profiles, market/sector overviews, detailed stock data, listings, ranking, and search. A minor gap exists in update/write operations, but this is appropriate for a data retrieval-focused server, and agents can work effectively with the provided read-only surface.