What is MCP?
Model Control Protocol (MCP) is a protocol that allows language models like Claude to communicate with external tools (called "capabilities") in a standardized way.
@yuvraj1898
Basic information
No overview available yet
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"Simple_mcp_server": {
"command": "uv",
"args": [
"init",
"simple_mcp_server"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
A FastMCP-powered microservice that provides search tools for Wikipedia and Arxiv using the LangChain Community utilities, designed for plug-and-play use in modular AI systems or agent runtimes.
Set up a Python 3.12+ project with uv, install dependencies (mcp[cli], langchain_community, wikipedia, arxiv), then run server.py via uv run. Configure Claude Desktop by adding an mcpServers entry in claude_desktop_config.json, or use a custom MCP client with the provided MCPClient pattern.
get_info (Wikipedia) and get_research_paper (Arxiv)uv and a single Python scriptModel Control Protocol (MCP) is a protocol that allows language models like Claude to communicate with external tools (called "capabilities") in a standardized way.
It provides two tools: `get_info(searchterm)` for Wikipedia summaries and `get_research_paper(searchterm)` for Arxiv paper metadata.
Python 3.12+, `uv` installed, and optionally Claude Desktop.
Add the `info-server` entry to `claude_desktop_config.json` with the `uv` binary path and the arguments pointing to the project directory and `server.py`.
Run `uv run server.py` inside the project’s virtual environment; the server listens over stdio.
AI 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
This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable,
Open-source MCP to use Blender with any LLM
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A search tool helps dev to solve the naming things problem.
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