AI Counsel
Facilitates true deliberative consensus among AI models by enabling multi-round debates to refine positions and reach informed decisions.
Demo Mcp On Amazon Bedrock
Demonstrates how to enhance ChatBot applications using Amazon Bedrock with the Model Context Protocol (MCP) to enable seamless integration with external systems and data sources.
Gospy
Inspects and analyzes running Go processes to provide insights into goroutine states and memory usage.
Mem0
Provides a flexible memory system for AI applications, integrating with MCP-compatible applications or functioning as a direct library.
SymPy
Enables language models to perform symbolic mathematics and computer algebra through tool-calling.
Minimal Dev
Provides project code and learning notes for collaborative study of the MCP Minimalist Development course.
Notes
Record and manage notes with AI models using a simple note-taking server.
Local Dev
Automates local development environment management using Large Language Models (LLMs).
Common Chronicle
Transforms unstructured information into organized, sourced timelines.
Awesome MCP
A curated collection of Model Context Protocol (MCP) servers, clients, and SDKs designed to facilitate integration between large language models and external systems.
SecBench
Systematically benchmarks and provides a playground for testing the security of Model Context Protocols.
Kali Server
Connects various MCP clients to a Kali Linux terminal via a lightweight API bridge, enabling remote command execution and AI-assisted offensive security workflows.
Zignet
Provides intelligent code analysis, validation, and documentation for Zig, leveraging a fine-tuned LLM and the official Zig compiler.
Ollama
Enables seamless integration between local Ollama LLM instances and MCP-compatible applications for advanced task management.
Swift OpenAI
Provides a universal Model Context Protocol (MCP) server for accessing OpenAI's APIs and other compatible AI providers through a standardized interface.
Biomart
Interfaces with Biomart databases using the Model Context Protocol (MCP) to provide biological data to Large Language Models.
EventOrOutage
Identifies potential external events like holidays or major happenings that may be causing traffic drops, helping SREs distinguish them from actual outages.
Zen AI Devtools
Provides a versatile MCP server accessible via SSE for Git operations, file manipulation, and shell command execution, enhancing AI assistant capabilities.
VLLM Benchmark
Benchmarks vLLM endpoints interactively through MCP, enabling performance evaluation of large language models.
AI Council
Queries multiple AI models in parallel, synthesizes responses to reduce bias, and improves accuracy through ensemble decision-making.
Florentine
Enables natural language querying for MongoDB data, transforming questions into aggregations for AI agents and desktop applications.