Frequently Asked Questions (FAQ) about Crossref MCP Server

Q: What is the Crossref MCP Server? A: The Crossref MCP Server is a tool that enables AI assistants to search and access academic paper metadata through Crossref using the Model Context Protocol (MCP).

Q: What is MCP? A: MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to Large Language Models (LLMs).

Q: What kind of information can I access through the Crossref MCP Server? A: You can access metadata for scholarly works, including authors, title, publication date, journal information, funding sources, and more.

Q: What are the core features of the Crossref MCP Server? A: The core features include:

• Work Search by Query: Find papers using keywords, titles, or authors.
• Metadata Access: Retrieve detailed metadata for specific papers by DOI.
• Journal Search: Find journals in the Crossref database.
• Funder Search: Discover funding organizations and their supported research.

Q: How do I install the Crossref MCP Server? A: You can install it by cloning the repository, then running pip install -r requirements.txt.

Q: How do I start the MCP server? A: You can start the MCP server by running the command python crossref_server.py.

Q: Can I use the Crossref MCP Server with Claude Desktop or Cline? A: Yes, you can use it with Claude Desktop or Cline by adding the provided configuration to your cline_mcp_settings.json or claude_desktop_config.json.

Q: What MCP tools are provided by the Crossref MCP Server? A: The tools provided are:

• search_works_by_query: Search for scholarly works using keywords, titles, or authors.
• get_work_metadata: Get detailed metadata for a specific work using its DOI.
• search_journals: Search for journals in the Crossref database.
• search_funders: Search for funding organizations in the Crossref database.

Q: What is UBOS? A: UBOS is a Full-stack AI Agent Development Platform focused on bringing AI Agents to every business department. It helps you orchestrate AI Agents, connect them with your enterprise data, build custom AI Agents with your LLM model, and create Multi-Agent Systems.

Q: How does the Crossref MCP Server integrate with UBOS? A: UBOS provides a platform to orchestrate the Crossref MCP Server along with other AI agents, connect it with enterprise data, build custom AI Agents leveraging the server, and create Multi-Agent Systems that can access academic literature efficiently.