Contextive MCP Server

Example Use Cases

• 1

  Route requests across multiple AI model providers seamlessly.

• 2

  Compose and chain tools and models into higher-level workflows.

• 3

  That require token-efficient, lean tool descriptions and shared prompts to optimize usage.

Description

Contextive MCP Server enables routing across multiple AI model providers through a single interface, focusing on token-efficient tools and composable workflows. It supports declarative workflow definitions, structured logging, and configuration-first design validated with Zod and JSON Schema. The server is designed as a fresh implementation with a spec-driven architecture, facilitating integration with various MCP clients via stdio mode.