Manage and use files as contextual resources for your MCP Servers and LLMs.
MCP Resources are files you upload to provide specific context or knowledge to Large Language Models (LLMs) interacting with your MCP Servers. This allows LLMs to answer questions or perform tasks based on the information within those files.
Your uploaded file will appear in the main Resources table.
To make a resource available to one or more MCP Servers:
Now, the selected servers (and the LLMs using them) can potentially access this resource.
Resources provide context to the LLM during conversations or when executing tasks.
Local MCP Clients (e.g., Claude Desktop): When making API requests to an MCP Server, you can specify which associated resources should be included in the context for that specific request.
MCP Developer Chat: The developer chat application directly integrates resource usage:
By providing relevant resources, you significantly enhance the LLM’s ability to perform knowledge-intensive tasks and provide accurate, context-aware responses.
Manage and use files as contextual resources for your MCP Servers and LLMs.
MCP Resources are files you upload to provide specific context or knowledge to Large Language Models (LLMs) interacting with your MCP Servers. This allows LLMs to answer questions or perform tasks based on the information within those files.
Your uploaded file will appear in the main Resources table.
To make a resource available to one or more MCP Servers:
Now, the selected servers (and the LLMs using them) can potentially access this resource.
Resources provide context to the LLM during conversations or when executing tasks.
Local MCP Clients (e.g., Claude Desktop): When making API requests to an MCP Server, you can specify which associated resources should be included in the context for that specific request.
MCP Developer Chat: The developer chat application directly integrates resource usage:
By providing relevant resources, you significantly enhance the LLM’s ability to perform knowledge-intensive tasks and provide accurate, context-aware responses.