litra-paper-search-mcp
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| LITRA_API_KEY | Yes | Your Litra.ai 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
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": true
} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| search_papersB | Search academic papers with AI-powered relevance scoring and summarization. Returns papers ranked by relevance with AI-generated summaries. |
| search_authorB | Search academic papers by author name. Returns author profile and publications. |
| check_creditsA | Check your Litra.ai credit balance and subscription plan. |
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 targets a clearly distinct function: credits, author search, and paper search. No overlap in purpose.
All tool names follow a consistent verb_noun pattern (e.g., search_author, search_papers) and use snake_case uniformly.
With 3 tools, the server is minimal but focused. The count is slightly low but still reasonable for a narrow-purpose paper search MCP.
The tool set covers general search and author search, but lacks tools for retrieving specific paper details or searching by other criteria (e.g., title, year). The presence of check_credits is somewhat tangential.