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AGENT SYSTEMS, ZERO COST. M4ST://

I'm Anuj — a solo systems architect from Bareilly, India. I wire 21 MCP servers + a voice-enabled bridge core across 11 free LLM providers into agent systems that run on a ₹0 cloud budget.

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20× MCP 25× LLM 26 SKILLS ₹0 CLOUD
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MCP Servers
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LLM Providers
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Skills
₹0
Cloud Spend
System Stack

One brain, many providers.

A task-intent router decides which of 11 free LLM providers handles each prompt — quality, speed, or free — with SMART_KEY auto-detect and a 3600s semantic cache.

CORE
Task-Intent Routing
Prompt semantics → provider chain, Hinglish-native
BRAIN
SMART_KEY Auto-Detect
11 providers, key prefix sniffing, live .env reload
MEM
3-Tier Memory
Episodic / semantic / mistakes — first-class error tier
VOICE
Barge-In Voice
Vosk wake word, Groq Whisper STT, pyttsx3 TTS
OPS
Self-Healing Engine
Classify → fix → retry ×3 → alternative → healing log
LANG
Hinglish-Native
"kal subah 9 baje" schedules, Hinglish routing hints
Live Status Board

20 real MCP servers. Live.

Every server below exists in the MAST repo — real Python MCP servers, not mockups. ★ marks the genuinely novel ones.

20 servers 10 ★ unique bridge_core linked last pulse
Bridge Core

The glue between servers.

bridge_core/ in the MAST repo — voice, healing, brain and routing that hold the 20 servers together.

🎙

Bidirectional Voice

Vosk wake word + Groq Whisper STT, pyttsx3 / gTTS speak-back, and live barge-in — interrupt the agent mid-sentence. Hinglish-optimized.

voice.py
🛠

Self-Healing Engine

Errors are classified, fixed, retried up to 3×, then routed to an alternative — every incident logged to a healing log that makes the system smarter.

self_healing.py
🧠

Smart Key Brain

11 providers with auto key-prefix detection and live .env reload. BRAIN=auto/fast/quality/free picks the right model per task.

smart_brain.py
🔄

Task Chain Router

9 task chains, 3600s cache, Hinglish routing hints — "research this then summarize in Hindi" lands on the right provider chain automatically.

brain.py
Skill Arsenal

28 hot-reloadable skills.

Every skill is a SKILL.md the agent can load, learn from task sequences, and even write new skills — without a restart.

Agent Loop

It runs while you read.

A live feed of the autonomous loop — tasks routed, servers responding, memory written. This is what M4ST does every second.

execution pipeline RUNNING
agent feed live
Selected Work

Built to be shipped, not shown.

Everything here runs — locally, on free tiers, and in the agent stack itself.

01

MAST Framework

The whole stack — 21 MCP servers, bridge_core with voice + self-healing + smart brain, 28 skills, agents and commands. The system this site advertises is the system that runs it.

pythonmcpagents
mcp_servers/ + bridge_core/ →
02

mast-llm-router

An MCP server exposing 8 tools: chat, stream, batch, multi-turn, task detection, cache control, provider listing and router status. Built with fastmcp, pinned to a stable protocol.

mcpfastmcpllm
src/server.py →
03

Universal MCP Config Gen

One source of truth generates MCP configs for 6 IDEs — Cursor, Windsurf, Claude Desktop, Antigravity and Codex — so the whole stack connects everywhere with zero drift.

pythonconfig6-idEs
config_generator.py →

Let's build agent systems.

Open to systems architecture roles, agentic AI work, and collaboration on autonomous stacks. Based in Bareilly, working anywhere.

hello@m4st.in
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