Wavefront AI Middleware
🔥🔥🔥 Enterprise AI middleware, alternative to unifyapps, n8n, lyzr
What is Wavefront AI Middleware?
Wavefront AI Middleware is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to 🔥🔥🔥 enterprise ai middleware, alternative to unifyapps, n8n, lyzr
🔥🔥🔥 Enterprise AI middleware, alternative to unifyapps, n8n, lyzr
This server falls under the Coding Agents and Cloud Services categories on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- 🔥🔥🔥 Enterprise AI middleware, alternative to unifyapps, n8n,
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx wavefrontConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
How to Set Up and Use Wavefront AI Middleware
Wavefront AI is an enterprise middleware platform from Rootflo that orchestrates AI agents, workflows, and data pipelines through a unified API layer. It acts as an alternative to tools like n8n or LyzrAI by providing a no-code visual builder, multi-agent coordination via frameworks like CrewAI and LangGraph, and built-in connectors for databases (BigQuery, Redshift, PostgreSQL, MongoDB), cloud storage (S3, GCS), and enterprise APIs. Teams use it to build, deploy, and govern production AI workflows with observability via Grafana/Prometheus and SSO via Google Auth or Microsoft Entra.
Prerequisites
- Access to the Wavefront platform (self-hosted or cloud — currently in beta, GA targeted Q1 2026)
- Familiarity with AI workflow concepts and LLM/SLM integrations
- Credentials for any data sources you want to connect (e.g. BigQuery service account, PostgreSQL credentials)
- An MCP-compatible client such as Claude Desktop for MCP-based tool access
Request access or self-host
Wavefront is in beta. Visit https://wavefront.rootflo.ai/ to request access or schedule a demo, or refer to the repository's /wavefront directory for self-hosting documentation.
Review the self-hosting documentation
The self-hosting setup is documented in the /wavefront subdirectory of the repository. Clone the repository and follow the instructions in that directory for your deployment environment.
git clone https://github.com/rootflo/wavefront.git
cd wavefrontConfigure data source connections
Set up your data source credentials through Wavefront's unified API layer. Supported sources include BigQuery, Redshift, S3, GCS, PostgreSQL, and MongoDB. Follow the platform's connector configuration UI to add credentials.
Add to your MCP client configuration
Once your Wavefront instance is running, register it as an MCP server in your client config. The exact command depends on your deployment; check the repository for the MCP endpoint configuration.
{
"mcpServers": {
"wavefront": {
"command": "npx",
"args": ["wavefront"],
"env": {}
}
}
}Build an AI workflow or agent
Use the no-code visual builder to construct agent workflows. You can chain LLM calls, connect to data sources, set guardrails, and define multi-agent coordination logic via the Wavefront UI.
Wavefront AI Middleware Examples
Client configuration
Basic MCP client config for Wavefront. Adjust the command to match your self-hosted deployment endpoint.
{
"mcpServers": {
"wavefront": {
"command": "npx",
"args": ["wavefront"]
}
}
}Prompts to try
Example prompts for interacting with Wavefront's AI orchestration capabilities.
- "Create a workflow that reads from BigQuery and summarizes the results with an LLM"
- "Coordinate three agents to research, draft, and review a technical document"
- "Set up a RAG pipeline connected to our PostgreSQL knowledge base"
- "Show me the monitoring dashboard for our active AI workflows"Troubleshooting Wavefront AI Middleware
Cannot connect to Wavefront — platform not yet publicly available
Wavefront is in beta as of late 2025 with GA targeted for Q1 2026. Visit https://wavefront.rootflo.ai/ to request early access or join the Discord at https://discord.gg/BPXsNwfuRU for updates.
Data source connection fails for BigQuery or PostgreSQL
Verify your service account credentials have the required IAM roles for BigQuery (bigquery.dataViewer at minimum) or that your PostgreSQL connection string includes the correct host, port, database, and SSL settings as required by Wavefront's connector format.
Frequently Asked Questions about Wavefront AI Middleware
What is Wavefront AI Middleware?
Wavefront AI Middleware is a Model Context Protocol (MCP) server that 🔥🔥🔥 enterprise ai middleware, alternative to unifyapps, n8n, lyzr It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Wavefront AI Middleware?
Follow the installation instructions on the Wavefront AI Middleware GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with Wavefront AI Middleware?
Wavefront AI Middleware works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Wavefront AI Middleware free to use?
Yes, Wavefront AI Middleware is open source and available under the AGPL-3.0 license. You can use it freely in both personal and commercial projects.
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Set Up Wavefront AI Middleware in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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