Overview & Result
Enables plain-language tool dispatching without invoking expensive generative models. Jev interprets input parameters and matches them directly to registered MCP tool arguments.
How Jev fits in the loop
- Receive natural language user command.
- Jev maps input into typed schema values.
- Directly dispatch MCP client call.
How to reproduce
- Inspect the source implementation at https://github.com/abhishekashokvkumar/jev-mcp-dispatcher.
- Configure local Jev API credentials and register required tool/model bindings.
- Execute test prompts and observe decision latency and routing outputs.
Why this build matters
Saves token costs and prevents LLM non-determinism during straightforward tool invocations.
Limitations
- Metrics are author-reported from the initial release unless independently verified.
- Requires access to the respective agent framework or runtime environment.
- Generative model execution remains external to the Jev decision step.