# I built T-Zero V3, an open-source MCP Server that cures LLM hallucinations and cuts token context costs by up to 95% 🚀

> Source: <https://dev.to/toprak_a/i-built-t-zero-v3-an-open-source-mcp-server-that-cures-llm-hallucinations-and-cuts-token-context-4d0o>
> Published: 2026-10-06 04:37:37+00:00

Hey everyone 👋,

If you are using AI coding agents (Cursor, Claude, Copilot) on large codebases, you probably face two massive problems:

Token Exhaustion: Sending your entire workspace into the context window drains your API budget instantly.

LLM Hallucinations: When AI gets overwhelmed with thousands of lines of irrelevant implementation logic, it loses focus, hallucinates, and breaks your architectural boundaries.

To solve this, I built and open-sourced T-Zero Context Architect V3.

How it crushes hallucinations & token costs: T-Zero doesn't just blindly read files. It uses an AST-based static analyzer to strip out all the "fat" (long function implementations) while keeping the absolute "skeleton" (class/method signatures, docstrings, decorators, and imports).

This allows you to map your entire enterprise-grade project into the LLM's context window, reducing token usage by up to 95% while maintaining 100% semantic fidelity. The AI sees exactly how your app works without getting distracted by the inner logic of irrelevant functions.

🤖 Native MCP Server Embedded: T-Zero V3 natively embeds a Model Context Protocol (MCP) server. By simply adding a 1-line JSON config to Cursor, Claude Desktop, or Antigravity IDE, you give your AI agent access to 13 autonomous tools.

Before writing a single line of code, your AI can now autonomously:

Generate a T-Zero context tree of your workspace.

Query cross-module dependency graphs.

Audit for "Code Smells" and duplicities.

Enforce strict "Zero-Leak" architecture boundaries.

🔒 100% Zero-Leak Security: It uses OS-level keyring encryption. No API keys are ever stored in plain text. It also fully supports local LLMs (like Ollama) for a $0 cost, 100% offline dry-run context generation.

I would love for the community to test it, try breaking it, and tell me what you think. It's completely free and MIT-licensed.

🔗 GitHub Repo: [https://github.com/toprakahmetaydogmus/TZeroAlgorithm](https://github.com/toprakahmetaydogmus/TZeroAlgorithm)

Feedback and PRs are highly appreciated! Let's cure LLM hallucinations together. 💻✨