Protocol Translation
Automatically convert MCP JSON-RPC 2.0 to standard HTTP requests without writing code.
AI Agent Integration
MCP Connector
Enable AI agents to call your APIs without custom integration code. Bridge Model Context Protocol to standard HTTP with built-in security.
AI Integration
The Protocol
What is Model Context Protocol?
Model Context Protocol (MCP) is a standardized way for AI agents like Claude and GPT to discover and invoke external tools. Instead of writing custom integration code for each AI platform, MCP provides a universal interface that any compatible agent can use.
The problem: Your internal APIs speak REST, GraphQL, or legacy protocols. AI agents speak MCP. Bridging this gap typically requires building and maintaining custom MCP server implementations for each backend service.
Traditional Approach
Write custom MCP server wrappers for each service, manage authentication separately, maintain translation logic as protocols evolve.
Harmony Solution
Harmony acts as a protocol translator between MCP and your existing HTTP APIs—no backend changes required. Configure once, support all MCP-compatible agents.
Architecture
How MCP-to-HTTP works
Protocol translation happens automatically through Harmony's pipeline architecture.
Sources
AI Agent
Claude/GPT
Harmony
Frontend
MCP Endpoint
JSON-RPC 2.0
Middleware
Security
IP + Rate Limit
JSON Extract
Parse Payload
JOLT Transform
MCP to HTTP
Backend
HTTP Client
REST API
Targets
Your API
Any HTTP Service
The pipeline accepts MCP-formatted requests, applies security controls, transforms them to HTTP, and forwards to your backend.
Capabilities
Bridge AI to any backend
Zero Backend Changes
Expose existing APIs to AI agents without modifying your backend services.
Security by Default
IP allowlisting, rate limiting, and content validation protect your APIs from unauthorized access.
Declarative Transforms
JOLT specifications handle request/response mapping through configuration, not code.
Multi-Agent Support
Works with Claude, GPT, and any MCP-compatible AI agent or platform.
Audit Logs
Track all AI-to-backend interactions for compliance, debugging, and monitoring.
Use Cases
What you can build
AI Agent Tool Calling
Let Claude, GPT, and other AI agents call your internal APIs as tools.
Data Access for AI
Provide AI assistants with real-time access to your data without custom integrations.
Workflow Automation
Enable AI agents to trigger backend processes and orchestrate complex workflows.
Enterprise Search
Power AI-driven search across internal systems with unified API access.
Ready to Deploy
Start with a template
Deploy a complete MCP-to-HTTP bridge in minutes with our ready-to-use workload template.
Workload template
MCP to HTTP Bridge
Bridge MCP protocol to standard HTTP APIs
AI Agent Integration
Protocol Translation
HTTPRESTAI
Configuration
Declarative setup
Configure your MCP-to-HTTP bridge with TOML configuration. No code required.
MCP Endpoint
Configure JSON-RPC 2.0 endpoint for AI agents
Security Middleware
IP allowlisting, rate limiting, content validation
Transform Specification
JOLT transforms for MCP to HTTP mapping
# MCP-to-HTTP Bridge
[pipelines.mcp_to_http]
description = "Bridge AI agents to HTTP APIs"
networks = ["mcp_net"]
endpoints = ["mcp_endpoint"]
middleware = [
"mcp_security",
"json_extractor",
"mcp_transform"
]
backends = ["http_backend"]
# Target your API
[targets.your_api]
host = "api.internal.com"
port = 443
protocol = "https"
Get Started
Connect AI to your APIs
Deploy MCP-to-HTTP bridges without writing custom integration code. Start with our ready-to-use template.