MCP Servers

LYRAIOS is a Model Context Protocol operating system for multi-AI agents, extending AI applications to interact with financial networks and blockchains. It features open architecture, multi-agent collaboration, and cross-platform runtime environment.

A comprehensive security scanner for Model Context Protocol (MCP) servers that detects vulnerabilities and security issues in your MCP server implementations.

AgentRPC is a universal RPC layer for connecting AI agents to functions across networks and languages, supporting multi-language tools, private networks, and offering observability and automatic failover. AgentRPC is a

mkinf SDK to interact with mkinf hub MCP servers

This repository provides a local, "primitive" RAG-like web search model context protocol (MCP) server that runs without external APIs. It allows Claude to access and use new information from web

The Wanaku MCP Router is a router for AI-enabled applications using the Model Context Protocol, an open standard for providing context to LLMs. It helps connect everything. The Wanaku MCP

The watsonx.ai Flows Engine repository provides tools to build, run, and deploy AI agent tools from various data sources, enabling integration with frameworks like LangChain and watsonx.ai for diverse applications.

This repository provides an ElevenLabs MCP server for text-to-speech conversion, featuring a SvelteKit client for managing voices, scripts, and audio history. It supports persistent storage and offers easy installation via

Multi-Agent,MCP,RAG,SpringAI1.0.0,RE-ACT

Modex is a Clojure library implementing the Model Context Protocol, enabling developers to augment AI models with tools, resources, and prompts without relying on Java SDKs or proxies.

This repository implements a Model Context Protocol (MCP) server, leveraging DeepSeek R1 for reasoning and Claude 3.5 Sonnet for response generation via OpenRouter. It manages conversations, optimizes parameters, and supports

A tutorial on how to use Model Context Protocol by Anthropic and Agent2Agent Protocol by Google

This repository provides a Model Context Protocol (MCP) server that integrates with Vectorize for vector retrieval and text extraction. It enables advanced document processing and search functionalities using the Vectorize platform.

This repository provides an MCP server enabling users to chat with Chronulus AI Forecasting & Prediction Agents within the Claude desktop application. It offers installation instructions using pip or Docker,

Run any AWS Lambda function as a Large Language Model (LLM) tool without code changes using Anthropic's Model Context Protocol (MCP).