eToro MCP Server
OfficialServer 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 |
|---|---|
| fetch_etoro_portfolioB | Fetch an eToro user's portfolio using their username |
| fetch_instrument_detailsB | Fetch details for a list of eToro instruments |
| search_instrumentsB | Search for eToro instruments by name prefix (autocomplete) |
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 has a clearly distinct purpose: fetch_etoro_portfolio retrieves user portfolio data, fetch_instrument_details gets details for specific instruments, and search_instruments performs autocomplete searches. There is no overlap in functionality, making tool selection straightforward for an agent.
All tools follow a consistent verb_noun pattern with snake_case: fetch_etoro_portfolio, fetch_instrument_details, and search_instruments. The naming is predictable and readable throughout the set.
With only 3 tools, the server feels thin for a financial trading domain like eToro. While the tools cover basic fetching and searching, the scope suggests more operations (e.g., trading actions, account management) would be expected, making the count borderline low.
The toolset is significantly incomplete for an eToro server. It lacks core operations such as placing trades, managing orders, viewing account details, or accessing market data beyond instruments. This creates gaps that will likely cause agent failures in real-world trading scenarios.