Open Source Literature MCP
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| OPENALEX_MAILTO | No | Optional email for OpenAlex polite pool. | |
| SEMANTIC_SCHOLAR_API_KEY | No | Optional API key for Semantic Scholar to improve rate limits. |
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 |
|---|---|
| auto_literature_screenB | Search OpenAlex, Semantic Scholar, and arXiv, then internally merge, dedupe, screen, and rank papers. Returns only final selected papers. |
| discover_papersC | Alias for auto_literature_screen. It keeps raw and deduped candidates internal and returns final selected papers only. |
| expand_related_papersC | Use Semantic Scholar recommendations for a seed paper, then screen and rank related papers without exposing intermediate tables. |
| literature_mcp_healthA | Return server metadata and configured optional API keys. |
| export_to_zoteroB | Export selected final papers to a Zotero user or group library. Intended for results from auto_literature_screen. |
| generate_research_ideasA | Produce heuristic, keyword-based research-idea scaffolding from a topic and selected papers. Ideas are derived from term overlap and research-gap templates, not from a language model, and scores are relative heuristics. Does not run experiments or execute code. |
| review_research_ideaA | Heuristically review a proposed research idea against selected papers, scoring novelty, feasibility, and literature support from keyword overlap. Scores are relative heuristics, not a language-model judgment. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
Latest Blog Posts
- Who's Calling? MCP Hosts Are an Identity Blind Spot (And the Spec Knows It)By Om-Shree-0709 on .mcpAgent IdentityOAuth 2.1
- Your AI Chatbot Just Exposed Your CEO's Salary to an InternBy Om-Shree-0709 on .Agent IdentityMCP SecurityOAuth Delegation
- Why MCP Servers Need Execution Sandboxing (And Why Your Current Stack Isn't Enough)By Om-Shree-0709 on .Agentic AiPrompt InjectionWebAssembly
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/simthw/opensourse-mcp'
If you have feedback or need assistance with the MCP directory API, please join our Discord server