AMiner MCP Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| AMINER_API_KEY | Yes | Your AMiner API key |
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 |
|---|---|
| search_papers_by_keywordC | Search academic papers by keyword |
| search_papers_by_venueC | Search papers published in a specific venue/journal |
| search_papers_by_authorC | Search papers published by a specific author |
| search_papers_advancedC | Advanced paper search functionality supporting multiple search criteria |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
| paper_search_assistant | AI assistant prompt template to help users search and analyze academic papers |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 4 tools
The tools are clearly distinguished by their search criteria (advanced, author, keyword, venue), making them easy to tell apart. However, 'search_papers_advanced' could potentially overlap with the others if it includes similar filters, but the descriptions specify distinct purposes.
All tool names follow a consistent 'search_papers_by_x' pattern, with 'search_papers_advanced' as a slight variation that still maintains readability. This uniformity helps agents predict and understand the tool set easily.
Four tools is reasonable for a paper search server, covering key search dimensions. It might be slightly thin if more operations like fetching paper details or citations are needed, but it's well-scoped for basic search functionality.
The server covers multiple search methods, which is good for its domain, but lacks CRUD operations like retrieving full paper details, downloading, or managing references. This could lead to dead ends for agents needing more than search results.