dataeyes-mcp-server
OfficialServer Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| DATAEYES_API_KEY | Yes | API key (required) | |
| DATAEYES_API_BASE_URL | No | API base URL | https://api.dataeyes.ai |
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": false
} |
| prompts | {
"listChanged": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| readA | Read and extract content from a web page URL. Fetches the page, extracts the main content, and returns it in the requested format (markdown by default). Includes metadata such as title, description, and status code. |
| searchA | Search the web using DataEyes search engine. Returns a list of web page results including title, URL, snippet, and relevance score. Useful for finding information, research, and discovering relevant web pages on any topic. |
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 2 tools
The two tools have completely different purposes: one extracts content from a given URL, the other searches for URLs. There is no overlap or ambiguity.
Both tools use single-word imperative verbs ('read' and 'search') in lowercase, following a consistent and predictable pattern.
With only two tools, the server is minimal but covers the basic web interaction workflow (search then read). It is on the lower end of the typical range but not inappropriate for a focused purpose.
The server provides a complete workflow for finding and reading web content. A minor gap is the lack of tools for batch processing or advanced content extraction, but core needs are met.