The Universal
Connector.
Stop building custom integrations. WUF.AI uses the Model Context Protocol (MCP) to give your agents standard, secure access to any data source.
The Integration Trap
Custom glue code is fragile. Agents need a standard interface.
Fragile APIs
Building bespoke connectors for every tool (Salesforce, Linear, Postgres) is a maintenance nightmare. APIs change; connectors break.
Siloed Data
Your agents are smart but blind. They can't see the live customer record in your SQL database or the latest ticket in Jira.
Security Risks
Hardcoding API keys into agent prompts is a security disaster waiting to happen. You need a governed protocol.
Standardized Access
Model Context Protocol (MCP) is the open standard for connecting AI models to data. WUF.AI acts as an MCP Client, instantly compatible with any MCP Server.
- Universal CompatibilityConnect to Postgres, Slack, GitHub, Google Drive, and local file systems using the same standard interface.
- Real-Time Tool UseGive your agents "tools" to query databases, list files, or send messages—safely and under your control.
- Local & RemoteRun MCP servers on your local machine for development, or deploy them to the cloud for production agents.
Client-Server Model
MCP separates the intelligence (the LLM) from the data access (the server). WUF.AI acts as the intelligent client, coordinating multiple servers simultaneously.
- Decoupled ArchitectureUpdate your agents without touching your data connectors, and vice versa.
- Multi-Server CoordinationA single WUF.AI agent can query Postgres, read a Slack thread, and create a Jira ticket in one fluid motion.
Secure by Design
Giving AI access to your databases sounds terrifying. MCP makes it safe.
The MCP server runs in your infrastructure, behind your firewall. You define exactly which tools and resources are exposed. WUF.AI never sees your database credentials.
Build Your Own
Write a custom MCP server in minutes, not days.
import { McpServer } from "@modelcontextprotocol/sdk";
const server = new McpServer();
server.tool(
"get_weather",
"Get the current weather",
{ location: z.string() },
async (args) => {
const weather = await fetchWeather(args.location);
return { content: [{ type: "text", text: weather }] };
}
});
server.start();