Model Context Protocol server for Zotero
Model Context Protocol (MCP) server for the Zotero API, in Python
What is Model Context Protocol server for Zotero?
what is Zotero MCP? Zotero MCP is a Model Context Protocol server for the Zotero API, implemented in Python, allowing users to interact with their Zotero libraries programmatically. how to use Zotero MCP? To use Zotero MCP, install it by adding the configuration to your mcpServers in Claude Desktop, and set the necessary environment variables. You can then access its features through the MCP Inspector or any compatible MCP client. key features of Zotero MCP? zotero_search_items: Search for items in your Zotero library using a text query. zotero_item_metadata: Retrieve detailed information about a specific Zotero item. zotero_item_fulltext: Access the full text of a specific Zotero item. use cases of Zotero MCP? Automating the retrieval of bibliographic data from Zotero. Integrating Zotero with other applications for enhanced research workflows. Facilitating the management of research materials through programmatic access. FAQ from Zotero MCP? Can Zotero MCP be used with the local Zotero API? Yes! Zotero MCP supports the local Zotero API for users running Zotero on the same machine. Is there a need for an API key? An API key is not required for the local API but is necessary for remote access to your Zotero library. How do I run tests for Zotero MCP? You can run the test suite using the command uv run pytest.
As an MCP (Model Context Protocol) server, Model Context Protocol server for Zotero enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.
How to use Model Context Protocol server for Zotero
To use Zotero MCP, install it by adding the configuration to your mcpServers in Claude Desktop, and set the necessary environment variables. You can then access its features through the MCP Inspector or any compatible MCP client. key features of Zotero MCP? zotero_search_items: Search for items in your Zotero library using a text query. zotero_item_metadata: Retrieve detailed information about a specific Zotero item. zotero_item_fulltext: Access the full text of a specific Zotero item. use cases of Zotero MCP? Automating the retrieval of bibliographic data from Zotero. Integrating Zotero with other applications for enhanced research workflows. Facilitating the management of research materials through programmatic access. FAQ from Zotero MCP? Can Zotero MCP be used with the local Zotero API? Yes! Zotero MCP supports the local Zotero API for users running Zotero on the same machine. Is there a need for an API key? An API key is not required for the local API but is necessary for remote access to your Zotero library. How do I run tests for Zotero MCP? You can run the test suite using the command uv run pytest.
Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.
Use Cases for this MCP Server
- No use cases specified.
MCP servers like Model Context Protocol server for Zotero can be used with various AI models including Claude and other language models to extend their capabilities through the Model Context Protocol.
About Model Context Protocol (MCP)
The Model Context Protocol (MCP) is a standardized way for AI agents to communicate with various services and tools. MCP servers like Model Context Protocol server for Zotero provide specific capabilities that can be accessed through a consistent interface, making it easier to build powerful AI applications with complex workflows.
Browse the MCP Directory to discover more servers and clients that can enhance your AI agents' capabilities.