Model Context Protocol

Connect Your Agent
to Anything

MCP (Model Context Protocol) is an open standard that lets AI agents connect to external tools, databases, and services — or expose your own data as callable tools. Deploy a server or connect to one in seconds.

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What is MCP?

A Universal Standard for AI Tool Connections

Before MCP, connecting an AI agent to a new service meant building a custom integration from scratch every time. MCP defines a common protocol so any compliant agent can talk to any compliant server — dramatically reducing integration effort.

Open Standard

MCP is an open specification maintained by Anthropic. Any tool or service can implement it, and any compliant agent can consume it — no vendor lock-in.

Tools & Resources

Servers expose tools (callable functions with parameters) and resources (readable data endpoints). Agents discover and use them automatically.

Two-Way

Your agent can act as a client (connecting to existing MCP servers) or as a server builder (creating new servers that expose your own data and APIs).

MCP Client

Connect to Any MCP Server

Your agent discovers tools and resources from any MCP-compatible server and uses them as naturally as its built-in capabilities — no manual API configuration required.

GitHub

Repos, pull requests, issues & code search

Databases

Query and manage SQL or NoSQL data sources

REST APIs

Any HTTP/HTTPS endpoint with a valid MCP wrapper

Filesystems

Read, write, and navigate directories via stdio

SaaS Tools

Salesforce, NetSuite, HubSpot, and more via OAuth2

Custom Servers

Any server built with the mcp_server tool

Search Engines

Web and news search via MCP-compatible providers

And More

Any service implementing the MCP specification

Flexible Authentication

Configure authentication once in your connection settings. The agent handles tokens and headers automatically on every call.

API Key / Bearer Token OAuth 2.0 HTTP Basic Auth Custom Headers SSE Transport stdio Transport
MCP Server

Expose Your Data as Callable Tools

Your agent can scaffold, configure, and deploy a custom MCP server that wraps your proprietary data, internal APIs, or business logic — making them available as tools in any future agent session.

Server Templates

basic General Purpose

Blank slate with all scaffolding in place. Define your own tools and resources from scratch.

database Database Wrapper

Pre-wired with query, execute, and schema tool stubs for SQL databases.

api HTTP API Proxy

Wraps any REST API in MCP tools. Handles GET, POST, PUT, DELETE with configurable headers and authentication.

filesystem Filesystem Access

Exposes read_file, write_file, and list_files tools for controlled file system access.

Server Lifecycle

1
Create
Agent scaffolds a server from a template with your custom tools and resources.
2
Deploy
Server starts in the shared volume, accessible at a named MCP URL.
3
Connect
Any agent connects using mcp://server-name and discovers its tools immediately.
4
Update
Modify tools or resources at any time. The agent restarts the server automatically with zero downtime.
Business Value

Break Down Data Silos Without Writing Integration Code

MCP turns every system your business runs into a tool your AI agent can use — without bespoke engineering effort for each new connection.

Connect Once, Use Everywhere

A single MCP server wrapping your CRM or ERP means every agent you build automatically gains access to it. No duplicated integrations, no diverging implementations.

Controlled Access

Your MCP server defines exactly which operations are exposed. Agents call only the tools you create — no raw database access, no uncontrolled API calls.

Live Data, Not Stale Snapshots

Unlike RAG (which searches stored documents), MCP calls return live data from your systems in real time — ideal for CRM lookups, booking availability, inventory counts, and anything that changes frequently.

Composable Workflows

Combine MCP connections with RAG, bash execution, and code generation in a single agent prompt. Search a knowledge base, query a live database, and write results to a Streamlit dashboard — all in one autonomous run.

Real-World Examples

Lead Generation Caller

Agent qualifies leads, then updates the CRM record via an MCP server wrapping the Salesforce API — no manual data entry.

PR Review Board

Agent connects to GitHub via MCP, fetches open pull requests with CI status, and builds a live review dashboard in Streamlit.

Inventory Monitor

A custom MCP server wraps your ERP's inventory API. The agent queries stock levels, triggers reorder alerts, and logs changes automatically.

Platform Integration

Two Native Agent Tools, Zero Setup

MCP is built into the urauto.ai agent tool stack. No configuration files, no separate service deployment from your side.

mcp_client Agent Tool

Connect & Call

The agent connects to any MCP server by URL, discovers its available tools and resources, executes tool calls with arguments, and retrieves resource content — all in a single conversation.

connect list_tools call_tool get_resource disconnect
mcp_server Agent Tool

Build & Deploy

The agent scaffolds a full MCP server from a template, writes the tool implementations, installs dependencies, and starts the server — all from a single natural language instruction.

create deploy update status logs
Better Together — MCP and RAG

Use RAG to search static knowledge (PDFs, specs, policies) and MCP to access live systems (CRMs, databases, APIs). An agent can combine both in the same run — pulling context from your documents and writing results back to your live systems automatically.

Get Started

Connect Your Agent to Your Entire Stack

Deploy an agent on urauto.ai and connect it to your tools, databases, and APIs today. No specialist knowledge required.