What is the Model Context Protocol?
The Model Context Protocol (MCP) is an open standard for connecting AI assistants to external systems. MCP defines a host–client–server architecture and three primitives servers can expose: tools, resources, and prompts.
MCP provides a standardized way for AI models to interact with databases, knowledge bases, and content management systems.
Define how AI models can interact with your APIs, microservices, and business applications through a consistent protocol.
MCP encourages structured tool inputs/outputs (JSON Schema), rich resources, and reusable prompts, improving reliability when integrating with your systems.
How MCP0 Works
MCP0 provides a user-friendly interface to create, test, and share MCP servers. Define tools/resources/prompts and their JSON Schemas, then test with MCP-capable hosts.
- 1
Define Your Server
Describe tools, resources, and prompts with JSON Schemas and metadata.
- 2
Test with MCP Hosts
Validate your server with MCP-capable hosts/clients (e.g., Claude Desktop).
- 3
Share and Deploy
Share your servers with the community or deploy them behind SSE or stdio.
{
"schema_version": "v1",
"metadata": {
"name": "Company Knowledge Base",
"description": "Access to company documentation"
},
"tools": [
{
"name": "search_docs",
"description": "Search company documentation",
"input_schema": {
"type": "object",
"properties": {
"query": {
"type": "string",
"description": "Search query"
}
},
"required": ["query"]
},
"output_schema": {
"type": "array",
"items": {
"type": "object",
"properties": {
"title": { "type": "string" },
"content": { "type": "string" },
"url": { "type": "string" }
}
}
}
}
]
}