Lit
- typescript
1
GitHub Stars
typescript
Language
5 months ago
First Indexed
2 months ago
Catalog Refreshed
Documentation & install
Readme and setup notes from the catalogue, plus a client-ready config you can copy for your MCP host.
Installation
Add the following to your MCP client configuration file.
Configuration
View docs{
"mcpServers": {
"gauravfs-14-lit-mcp": {
"command": "uvx",
"args": [
"lit-mcp"
]
}
}
}lit-mcp is a dedicated MCP server that provides access to academic literature databases and AI-powered prompts to assist you with literature reviews. It connects to sources like arXiv and DBLP, returns structured paper metadata, and works with any MCP client to streamline your research workflow.
How to use
You use lit-mcp by configuring it in your MCP client so the client can launch and communicate with the server. Once configured, you can search for papers from arXiv and DBLP, generate AI-powered summaries, and explore related topics or author spotlights. Use the available tools to discover papers, extract metadata, and receive structured results suitable for inclusion in literature surveys or review drafts.
How to install
Prerequisites: you need a working JavaScript/TypeScript runtime for MCP tooling, and the UV package manager to run MCP servers.
# Install UV (one-time setup)
curl -LsSf https://astral.sh/uv/install.sh | sh
# Start the lit-mcp server via UV (recommended runtime)
uv run lit-mcp
# Add lit-mcp to your MCP client configuration so uvx handles the rest automatically
*** MCP client integration examples are provided below to help you wire lit-mcp into common clients. ***
## Additional notes
Two standard startup configurations are shown to integrate lit-mcp with MCP clients. Use the provided patterns exactly as written to ensure the client launches lit-mcp correctly.
{ "mcpServers": { "lit-mcp": { "command": "uvx", "args": ["lit-mcp"] } } }
You can also start lit-mcp directly via the core runtime, which is demonstrated as:
```uv run lit-mcp```
{ "mcpServers": { "lit-mcp": { "command": "uvx", "args": ["lit-mcp"] } } }
## Available tools
### arxiv\_search
Query arXiv for papers with advanced parameters such as author, title keywords, or category, returning structured results including title, authors, date, summary, PDF link, categories, and DOI.
### dblp\_search
Query DBLP for computer science publications, returning structured results including title, authors, venue, year, DOI, and URLs.
### latest\_info
Generate comprehensive, well-structured summaries of recent advances and trends in a chosen research topic, with key insights and PDF links.
### related\_topics
Identify 3–6 related topics or subfields connected to a given topic, showing connections and representative papers.
### author\_spotlight
Highlight leading authors, labs, and research groups, including affiliations and notable papers, with collaboration networks.