Agntic AI for Research Papers

Search and extract information about research papers from arXiv.

This project implements a chatbot using the Model Context Protocol (MCP) to search and retrieve information about research papers from arXiv. The chatbot allows you to query papers by topic and extract detailed information about specific papers.

The system consists of two main components:
- Server: A FastMCP server that provides tools for searching arXiv papers and extracting paper information.
- Client: An MCP client that integrates with OpenAI's GPT model to process user queries and interact with the server.

The server stores paper information in JSON files organized by topic, while the client provides an interactive chat interface for users to input queries.

- Search Papers: Search for papers on arXiv by topic, with configurable maximum results.
- Extract Paper Info: Retrieve detailed information (title, authors, summary, PDF URL, publication date) for a specific paper using its arXiv ID.
- Persistent Storage: Paper information is saved in JSON files under apapersdirectory, organized by topic.
- Interactive Chatbot: Users can interact with the chatbot via a command-line interface, with support for natural language queries powered by OpenAI's GPT model.

- Python 3.12+
- Dependencies (install viauvorpip):

- arxiv

- mcp
- openai
- nest-asyncio
- python-dotenv
- Clone the repository:

git clone <repository-url> cd <repository-directory>

{ "open_ai_api": "your-openai-api-key" }

{ "mcpServers": { "filesystem": { "command": "npx", "args": [ "-y", "@modelcontextprotocol/server-filesystem", "." ] }, "research": { "command": "uv", "args": ["run", "research_server.py"] }, "fetch": { "command": "uvx", "args": ["mcp-server-fetch"] } } }

- Start the MCP server:

uv run src/research_server.py

- Enter a query like "Search for papers on quantum computing" or "Get info for paper 1234.56789".

- Type 'quit' to exit.

├── papers/ # Directory for storing paper information (auto-created) ├── src/ │ ├── mcp_chatbot.py # MCP client with chatbot implementation │ ├── research_server.py # FastMCP server with arXiv search tools │ ├── keys.json # API keys (not tracked in git) │ ├── server_config.json # MCP server configuration ├── README.md ├── main.py # Entry point

- Search for papers:

Query: Find 3 papers on machine learning

- The server creates apapersdirectory to store JSON files containing paper information, organized by topic (e.g.,papers/quantum_computing/papers_info.json).
- The client usesgpt-4o-miniby default. Update the model insrc/mcp_chatbot.pyif needed.
- The system assumesuvis installed for running scripts. Modify thecommandinserver_config.jsonif using a different tool (e.g.,python).

- Add support for filtering papers by date, author, or category.
- Implement paper PDF download and storage.
- Enhance the chatbot with more natural language understanding for complex queries.
- Add a web-based UI for better user interaction.

This project is licensed under the MIT License. See theLICENSEfile for details.

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