This Needle MCP integration, developed by Jan Heimes, provides a bridge between the Needle AI platform and MCP (Machine Comprehension Protocol) servers. Built using Python, it leverages the needle-python and mcp libraries to enable seamless communication between Needle's AI capabilities and standardized MCP endpoints. The integration supports environment variable configuration via python-dotenv for flexible deployment. By abstracting the complexities of API interactions, it allows developers to easily incorporate Needle's AI functionalities into MCP-compatible systems. This implementation is particularly useful for projects requiring advanced natural language processing, machine learning, or AI-driven decision making within an MCP framework, enabling use cases such as intelligent chatbots, automated content generation, or AI-assisted data analysis.
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Highlight AICreate a new collection with the specified name. Example: 'Technical Docs'.
Add a specified document to a specified collection, providing the document's URL.
Search for specific information within a collection. Example: 'information about AI'.
Retrieve and display a list of all collections the user has created.
