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Found a total of 7 results related to

D
Dot Ai
The DevOps AI Toolkit is an AI-based platform engineering and DevOps automation tool that provides functions such as resource deployment recommendations, problem repair, project governance, and a shared prompt library for teams through intelligent Kubernetes operations and conversational workflows, enabling complex cloud-native operations to be achieved through natural language interaction.
TypeScript
5.9K
3.5 points
A
Anthropic Prompt MCP
The MCP Anthropic Server is a server - side project that provides tools for interacting with Anthropic's experimental prompt engineering API.
TypeScript
7.6K
2.5 points
C
Context Engineering MCP
The Context Engineering MCP Platform is an AI context management and optimization platform that designs, manages, and optimizes the input information of AI models through a systematic approach, realizing the engineering of prompt engineering. The platform provides functions such as intelligent analysis engines, optimization algorithms, and template management, significantly improving AI response quality, reducing API costs, and supporting multimodal content processing.
Python
7.7K
2.5 points
P
Project Orchestrator
An MCP project orchestration tool that provides template management, prompt management, and Mermaid diagram generation functions
Python
9.3K
2.5 points
M
Mercury Spec Ops
The Mercury Spec Ops MCP server is an innovative AI tool platform that provides dynamic prompt generation and template assembly as programmable tools for AI assistants. It uses a modular architecture, supports 31 technology stacks, 10 analysis dimensions, and 34 template components, and enables technology - specific content generation through six tools, revolutionizing the way AI interacts with professional content.
TypeScript
5.9K
2.5 points
M
MCP Server Continue
A Python server based on FastMCP, providing customizable prompt templates, resource, and tool integration for continue.dev.
Python
9.1K
2 points
B
Betterprompt MCP
BetterPrompt MCP is a server based on the Model Context Protocol (MCP). It uses advanced prompt engineering techniques to convert simple user requests into optimized instructions with clear structure and rich context, thereby significantly improving the performance of AI models.
TypeScript
7.7K
2 points
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