Open Standard

What is MCP?

The Model Context Protocol (MCP) is the open standard that lets AI specialists talk to your tools—databases, APIs, file systems, and enterprise applications.

Developed by Anthropic, MCP is the backbone that powers every Conducktor specialist. It provides a universal, secure way for AI teammates to interact with the systems your company runs on—all through a single standardized protocol.

How MCP Works
1

AI model sends a request via MCP protocol

2

MCP server validates and routes the request

3

External tool or API executes the action

4

Results stream back to the AI in real-time

Why MCP Powers Your AI Team

MCP is what lets your Conducktor specialists securely connect to every tool your company uses—without custom code.
Universal Connectivity

Connect any AI model to any data source, API, or tool through a single standardized protocol.

Enterprise Security

Built-in authentication, authorization, and audit logging for enterprise-grade deployments.

Real-time Streaming

Support for SSE and WebSocket transports enables real-time, streaming AI interactions.

Developer Friendly

Simple JSON-RPC based protocol with SDKs for Python, TypeScript, and more.

What Your Team Can Do With MCP

When your specialists speak MCP, they can work with anything
Database Access

Your specialists can query databases, run analytics, and manage data—all governed by your policies.

API Integration

Any REST API becomes a skill your specialists can use, instantly and without code changes.

Cloud Services

Connect specialists to AWS, Azure, GCP, and other platforms they need to do their work.

Multi-Specialist Workflows

Chain specialists and tools together for complex, multi-step operations with approval gates.

MCP Technical Overview

JSON-RPC 2.0 based messaging protocol

Multiple transports: HTTP, SSE, WebSocket, stdio

Built-in tool discovery and schema validation

Resource and prompt management capabilities

Streaming support for real-time interactions

Extensible authentication mechanisms

MCP vs Traditional APIs

Traditional APIs: Require custom integration code for each AI model and each data source.

MCP: Universal protocol—connect once, work with any MCP-compatible AI model. Automatic tool discovery, standardized authentication, and built-in streaming.

Ready to Build Your AI Team?

Conducktor handles all the MCP complexity. You just hire specialists and put them to work.