Browse and discover Model Context Protocol compatible servers
Collection of extracted System Prompts from popular chatbots like ChatGPT, Claude & Gemini
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MCP Go is a Go implementation of the Model Context Protocol, enabling seamless integration between LLM applications and external data sources and tools. It simplifies building great tools by handling
Open Source Deep Research Alternative to Reason and Search on Private Data. Written in Python.
Cognee is a memory layer for AI apps and agents, enabling dynamic agent memory using scalable ECL pipelines to interconnect and retrieve past conversations, documents, images, and audio transcriptions for
AI Observability & Evaluation
Flexible and powerful framework for managing multiple AI agents and handling complex conversations
Here are a few options, prioritizing clarity and SEO: * **Option 1 (Focus on core function):** Semantic code retrieval & editing toolkit (MCP server). Agno integration. * **Option 2 (More explic
A CLI tool to convert your codebase into a single LLM prompt with source tree, prompt templating, and token counting.
This repository provides a browser monitoring and interaction tool that empowers AI applications through Anthropic's MCP, capturing and analyzing browser data via a Chrome extension. It includes SEO tools and debugging features.
Higress is a cloud-native AI gateway based on Istio and Envoy, offering extensibility with Wasm plugins and a user-friendly console. It provides high availability and load balancing capabilities for various services.
ESP32 server backend. Enables quick setup of ESP32 device control.
MCP learning resource. .NET, Java, TypeScript, JavaScript, Python examples. Teaches Model Context Protocol fundamentals. #MCP #ModelContextProtocol
GhidraMCP is a Ghidra plugin and MCP server that allows LLMs to autonomously reverse engineer applications by exposing Ghidra's core functionality to MCP clients for binary analysis and decompilation.
**Option 1 (Focus on Model Orchestration):** > Model Context Protocol server. Orchestrates Claude + other LLMs (Gemini, OpenAI, etc.) for combined processing. **Option 2 (Focus on Unified Interface)