paper-search
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
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 |
|---|---|
| search_papersA | Search academic literature across multiple sources, returning deduplicated and ranked results as JSON. Args: query: Free-text search query, e.g. "Hamiltonian Monte Carlo protein design". sources: Comma-separated source names: semantic-scholar, arxiv, pubmed, crossref, europepmc, openreview, dblp, openalex. Defaults to all keyless free sources. max_results_per_source: Maximum number of results fetched per source. year_from: Only include papers published in or after this year. year_to: Only include papers published in or before this year. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
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MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/ChenchaoZhao/paper-search'
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