This DevRev MCP server, developed by Sunil Pandey, provides AI assistants with search and retrieval capabilities using the DevRev APIs. Built with Python and leveraging the MCP library, it offers tools for searching DevRev data and retrieving detailed information about specific objects. The server implements namespace-aware searching and object retrieval by ID. By abstracting the complexities of API communication, it allows AI systems to easily access and analyze DevRev data. This implementation is particularly valuable for DevRev users and developers working on integrations, enabling use cases such as automated issue tracking, customer support analysis, and data-driven decision making within the DevRev ecosystem.
Search for information using the DevRev search API with the provided query and namespace.
Get all information about a DevRev object using its ID.
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