manojmallick/sigmap — 97% token reduction for AI coding sessions — zero deps, 21 languages, MCP server

Description and use

Manojmallick’s **sigmap** is a lightweight, zero‑dependency tool that slashes token usage by up to 97% during AI‑assisted coding sessions, making prompts far more efficient. It supports 21 programming languages, runs on a minimal MCP server, and is positioned as a backend‑focused dev‑tool for AI/ML workflows.

Problem

manojmallick/sigmap helps connect AI assistants to real tools and data through a standard protocol.

Outcome

Medium: useful for prototypes or internal workflows, with dependency and maintenance checks before production.

Workflow

• connect AI agents to tools
• ship Model Context Protocol servers
• standardize integrations

Evidence

97% token reduction for AI coding sessions — zero deps, 21 languages, MCP server

Source