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URL: https://glama.ai/mcp/servers/lnkvv210-eng/sci-bot-mcp

⇱ sci-bot-mcp by lnkvv210-eng | Glama

sci-bot-mcp

AI-powered research assistant MCP server for searching academic papers and answering research questions with DOI citations.

Basic Information

Related MCP server: paper-fetch-mcp

MCP Service Configuration

{
 "mcpServers": {
 "sci-bot": {
 "command": "python",
 "args": ["server_stdio.py"],
 "env": {
 "DEEPSEEK_API_KEY": "your_deepseek_api_key",
 "AI_BASE_URL": "https://api.deepseek.com",
 "AI_MODEL": "deepseek-chat"
 }
 }
 }
}

Environment Variables

Variable

Required

Default

Description

DEEPSEEK_API_KEY

Yes

-

DeepSeek API key used by ask_research_question.

AI_BASE_URL

No

https://api.deepseek.com

OpenAI-compatible API endpoint.

AI_MODEL

No

deepseek-chat

Chat model name.

MCP_TRANSPORT

No

auto

stdio, streamable-http, or sse.

PORT

No

8000

Hosted HTTP port supplied by the platform.

MCP_PORT

No

8000

HTTP port fallback when PORT is not set.

HOST

No

0.0.0.0

HTTP bind host.

Tools

search_papers

Search academic papers through CrossRef.

  • query (string): search query.

  • limit (integer): number of results, default 8, max 20.

ask_research_question

Search papers and synthesize an answer with DOI references.

  • question (string): research question.

  • num_references (integer): number of reference papers, default 8, max 15.

get_paper_details

Get detailed paper metadata by DOI.

  • doi (string): paper DOI.

Run Locally

Install dependencies:

pip install -r requirements.txt

Run with stdio for local MCP clients:

python server_stdio.py

Run with SSE for direct HTTP deployment:

set MCP_TRANSPORT=sse
set PORT=8000
python server.py

Health check endpoints:

  • /

  • /health

MCP endpoints:

  • /mcp

  • /sse

A
license - permissive license
A
quality
B
maintenance

Maintenance

–Maintainers
–Response time
–Release cycle
–Releases (12mo)
Commit activity

Resources

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