Model Context Protocol JSON Guide

The Model Context Protocol standardizes how agents share data with LLMs. Token Tamer helps MCP authors build lean JSON capsules, document schemas, and verify that every payload is ready for multi-agent workflows.

Ship only essential context

MCP capsules should contain the smallest usable subset of the source document. Use Token Tamer to locate heavy arrays, verbose keys, and redundant metadata before you publish the capsule.

Validate contracts early

The protocol expects deterministic JSON schemas. Token Tamer highlights malformed objects, duplicate keys, and structural overhead so your capsules remain deterministic across agents.

Stay within token budgets

Capsules flow into downstream agents and LLMs. Reducing token cost keeps interactions fast and prevents mid-conversation truncation.

Capsule authoring workflow

  1. Collect the raw data your agent wants to expose and paste it into Token Tamer.
  2. Use the token tree to pinpoint large branches; prune everything non-essential.
  3. Standardize field names using the similar keys module to avoid downstream confusion.
  4. Validate the final JSON, then version it alongside your MCP manifest.
  5. Document intent and usage so consuming agents understand the capsule quickly.

Resources

Continue exploring Token Tamer capabilities: read about LLM token optimization, visit the JSON formatter guide, or jump back to the main application.