MCP Servers
A collection of local Python MCP (Model Context Protocol) servers for use with Cursor.
Configuration
Clone the repo to a location of your choice, e.g. ~/mcp-servers
Add any of the servers to Cursor by updating the MCP configuration as follows:
{
"mcpServers": {
"<server-name>": {
"command": "uvx",
"args": [
"~/mcp-servers/<server-name>/."
]
}
}
}
Place this in:
-
~/.cursor/mcp.jsonfor global access (cursor will have access from any project) -
.cursor/mcp.jsonfor project-specific access
相关推荐
I find academic articles and books for research and literature reviews.
Confidential guide on numerology and astrology, based of GG33 Public information
Advanced software engineer GPT that excels through nailing the basics.
Emulating Dr. Jordan B. Peterson's style in providing life advice and insights.
Your go-to expert in the Rust ecosystem, specializing in precise code interpretation, up-to-date crate version checking, and in-depth source code analysis. I offer accurate, context-aware insights for all your Rust programming questions.
Converts Figma frames into front-end code for various mobile frameworks.
Take an adjectivised noun, and create images making it progressively more adjective!
Discover the most comprehensive and up-to-date collection of MCP servers in the market. This repository serves as a centralized hub, offering an extensive catalog of open-source and proprietary MCP servers, complete with features, documentation links, and contributors.
The all-in-one Desktop & Docker AI application with built-in RAG, AI agents, No-code agent builder, MCP compatibility, and more.
Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.
Micropython I2C-based manipulation of the MCP series GPIO expander, derived from Adafruit_MCP230xx
🧑🚀 全世界最好的LLM资料总结(Agent框架、辅助编程、数据处理、模型训练、模型推理、o1 模型、MCP、小语言模型、视觉语言模型) | Summary of the world's best LLM resources.
Dify is an open-source LLM app development platform. Dify's intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting you quickly go from prototype to production.
Reviews
user_BkCrEztI
I've been using mcp-servers for a while now, and it has significantly improved my workflow. The versatility and efficiency of the tool are unmatched. Kudos to James-Leslie for creating such a valuable resource! Highly recommend checking it out: https://github.com/James-Leslie/mcp-servers.