MCP Server Example
@t-nakatani
About MCP Server Example
No overview available yet
Config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"mcp_server-exmaple": {
"command": "uv",
"args": [
"run",
"mcp_server.py"
]
}
}
}Tools
No tools detected
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
Overview
What is MCP Server Example?
MCP Server Example is an example MCP server and client implementation from the Pydantic AI documentation at https://ai.pydantic.dev/mcp/server/.
How to use MCP Server Example?
Run the server with uv run mcp_server.py and the client with uv run client.py. No configuration or additional steps are mentioned.
Key features of MCP Server Example
—
Use cases of MCP Server Example
—
FAQ from MCP Server Example
How to run the server?
Use the command uv run mcp_server.py.
How to run the client?
Use the command uv run client.py.
Where is this example from?
The example is from https://ai.pydantic.dev/mcp/server/.
Frequently asked questions
How to run the server?
Use the command `uv run mcp_server.py`.
How to run the client?
Use the command `uv run client.py`.
Where is this example from?
The example is from https://ai.pydantic.dev/mcp/server/.
Basic information
More Other MCP servers
Peekaboo MCP – lightning-fast macOS screenshots for AI agents
steipetePeekaboo is a macOS CLI & optional MCP server that enables AI agents to capture screenshots of applications, or the entire system, with optional visual question answering through local or remote AI models.
XcodeBuildMCP
cameroncookeA Model Context Protocol (MCP) server and CLI that provides tools for agent use when working on iOS and macOS projects.
Codelf
unbugA search tool helps dev to solve the naming things problem.
Activepieces
activepiecesAI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents
MCP Go 🚀
mark3labsA Go implementation of the Model Context Protocol (MCP), enabling seamless integration between LLM applications and external data sources and tools.
Comments