{"slug": "i-built-t-zero-v3-an-open-source-mcp-server-that-cures-llm-hallucinations-and-by", "title": "I built T-Zero V3, an open-source MCP Server that cures LLM hallucinations and cuts token context costs by up to 95% 🚀", "summary": "A developer has released T-Zero Context Architect V3, an open-source tool that uses AST-based static analysis to strip function implementations from a codebase while preserving signatures, docstrings, decorators and imports, claiming token reductions of up to 95% for AI coding agents. The release embeds a native Model Context Protocol (MCP) server exposing 13 autonomous tools for context-tree generation, dependency-graph queries, code-smell audits and architecture-boundary enforcement, and is MIT-licensed with OS-level keyring encryption and support for local LLMs such as Ollama.", "body_md": "Hey everyone 👋,\n\nIf you are using AI coding agents (Cursor, Claude, Copilot) on large codebases, you probably face two massive problems:\n\nToken Exhaustion: Sending your entire workspace into the context window drains your API budget instantly.\n\nLLM Hallucinations: When AI gets overwhelmed with thousands of lines of irrelevant implementation logic, it loses focus, hallucinates, and breaks your architectural boundaries.\n\nTo solve this, I built and open-sourced T-Zero Context Architect V3.\n\nHow 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).\n\nThis 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.\n\n🤖 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.\n\nBefore writing a single line of code, your AI can now autonomously:\n\nGenerate a T-Zero context tree of your workspace.\n\nQuery cross-module dependency graphs.\n\nAudit for \"Code Smells\" and duplicities.\n\nEnforce strict \"Zero-Leak\" architecture boundaries.\n\n🔒 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.\n\nI would love for the community to test it, try breaking it, and tell me what you think. It's completely free and MIT-licensed.\n\n🔗 GitHub Repo: [https://github.com/toprakahmetaydogmus/TZeroAlgorithm](https://github.com/toprakahmetaydogmus/TZeroAlgorithm)\n\nFeedback and PRs are highly appreciated! Let's cure LLM hallucinations together. 💻✨", "url": "https://wpnews.pro/news/i-built-t-zero-v3-an-open-source-mcp-server-that-cures-llm-hallucinations-and-by", "canonical_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_at": "2026-10-06 04:37:37+00:00", "updated_at": "2026-10-06 04:47:30.074245+00:00", "lang": "en", "topics": ["ai-agents", "agent-protocols", "developer-tools", "ai-tools", "large-language-models"], "entities": ["T-Zero Context Architect V3", "Model Context Protocol", "Cursor", "Claude Desktop", "GitHub", "Ollama", "Antigravity IDE", "Copilot"], "also_reported_by": [], "alternates": {"html": "https://wpnews.pro/news/i-built-t-zero-v3-an-open-source-mcp-server-that-cures-llm-hallucinations-and-by", "markdown": "https://wpnews.pro/news/i-built-t-zero-v3-an-open-source-mcp-server-that-cures-llm-hallucinations-and-by.md", "text": "https://wpnews.pro/news/i-built-t-zero-v3-an-open-source-mcp-server-that-cures-llm-hallucinations-and-by.txt", "jsonld": "https://wpnews.pro/news/i-built-t-zero-v3-an-open-source-mcp-server-that-cures-llm-hallucinations-and-by.jsonld"}}