What We Do
Build AI Agents for Any Task — Repetitive or Complex
We design and deploy autonomous agents that eliminate repetitive busywork — daily anomaly detection, automated reports, invoice processing — and tackle complex multi-step workflows that used to require a team. Your people focus on decisions; the agents handle everything else.
Connect Your Data Smartly to AI Agents
Implement RAG pipelines, vector databases, and semantic search to give your AI agents accurate, up-to-date context from your own data sources. Stop hallucinations; start reliable answers.
High-Performance Data Engineering
Ingest massive data loads with resilient, scalable pipelines. From real-time streaming to batch ETL, we ensure your data infrastructure is always ready to feed your AI systems.
Agentic Solutions in Practice
AI agents aren't magic — they're well-designed systems with clear instructions, reliable data access, and the right tools. Here's how we build them.
MCP Configuration
Model Context Protocol (MCP) lets AI agents securely connect to your file systems, databases, and APIs — using a single open standard.
{
"mcpServers": {
"database": {
"command": "uvx",
"args": ["mcp-server-postgres"],
"env": {
"POSTGRES_CONNECTION_STRING": "${DB_URL}"
}
},
"filesystem": {
"command": "npx",
"args": ["-y", "@modelcontextprotocol/server-filesystem", "/data/reports"]
},
"slack": {
"command": "uvx",
"args": ["mcp-server-slack"],
"env": {
"SLACK_BOT_TOKEN": "${SLACK_TOKEN}"
}
}
}
}
Example: Daily Report Agent
A real agentic workflow we ship for data teams:
- Agent queries your data warehouse via Database MCP
- Summarizes findings using Claude or OpenAI
- Posts formatted report to Slack via API MCP
- Flags anomalies and creates tickets via Jira MCP
No human in the loop for routine runs.
MCP Servers We Deploy
- File System MCP — read/write structured outputs
- Database MCP — direct SQL query access for agents
- API MCP — connect agents to REST APIs (Salesforce, HubSpot, etc.)
- Web Search MCP — real-time research capabilities
Any MCP-compatible model can use any MCP server — swap Claude for OpenAI in one config line.
AI + Data Engineering — Fully Integrated
We bridge the gap between your data infrastructure and the AI models your business wants to leverage.
LLM Integrations
- Claude API Anthropic
Native MCP support, best for complex reasoning - OpenAI GPT-4o / o3
Broad ecosystem, via LangChain or Agents SDK - Ollama Self-hosted / On-prem
Llama, Mistral, Qwen — data stays on your infra - LangChain LangGraph Orchestration
Stateful multi-step agents and pipelines
Data Engineering for AI
- ML Pipelines — feature stores, training data prep, model serving infrastructure
- Vector Databases — embedding generation, similarity search, RAG setup
- Streaming Ingestion — real-time AI context via Kafka, Kinesis, or Pub/Sub
- Massive Load Ingestion — scalable batch ETL built to handle billions of records fast
- Data Quality Agents — automated validation before LLM consumption to prevent garbage-in/garbage-out
About the Team
We are senior data engineers and AI architects with a track record of delivering production systems — not prototypes.
Metadata Morph was founded by practitioners who spent years inside high-scale data organizations — building pipelines that process billions of events, architecting lakehouses from the ground up, and deploying ML systems in production.
We started seeing the same pattern everywhere: companies had solid data infrastructure but no bridge to AI. The warehouse sat full of valuable data that no agent or LLM could reliably reach.
We built that bridge.
Today we work with data teams across industries to design and ship agentic AI systems grounded in production-grade data engineering — the kind that runs reliably at 3am without anyone watching it.
What we bring
- 20+ years production data engineering
- End-to-end AI agent design and deployment
- MCP configuration and tooling
- Lakehouse architecture (Parquet, Iceberg, Delta, Hudi)
- dbt, Airflow, Kafka, Spark at scale
- Claude, OpenAI, and Ollama integrations
- Data quality frameworks for AI pipelines
Our Tech Stack
AI-first tools and proven data engineering technologies we deploy together
Seamless Integrations
Connect your AI agents and data pipelines to the tools your business already uses
We Built the Bridge Between Your Data and AI. Ready to Cross It?
Book a 30-minute strategy session. We'll map your most repetitive workflows to an agentic solution you can ship in weeks.
Book Your Strategy SessionAI That Pays for Itself
Real automations. Real labor replaced. Ordered by business impact.
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