#multi

Mirror of

Perform operations on your AWS resources using an LLM

A multimodal mcp server

Repository for MCP (Multi-Cloud Platform) Server configuration and documentation

MCP Server for reading many files at the same time

Core MCP Server with React Frontend and Multi-Agent Support

Example of using MCP servers, both over sdio + sse. Also using langchain-mcp

Stop AI hallucinations with certified, source-backed facts. Swiss Truth MCP gives your AI agent access to a curated knowledge base covering Swiss law, health, finance, climate, AI/ML, and more. 8 tools, no API key needed, public and free.

Autopilot AI orchestration — describe your intent, orchex auto-generates a plan, parallelizes it into streams with file ownership enforcement, self-heals failures, and routes across 6 LLM providers (Claude, OpenAI, Gemini, DeepSeek, Ollama, AWS Bedrock).

Mirror of

Cohere MCP Server

This repository contains a python implementation of an MCP Host which is capable of running several MCP Servers with SSE protocol

Multi MCP Server

Advanced MCP server providing comprehensive text transformation and formatting tools. TextToolkit offers over 40 specialized utilities for case conversion, encoding/decoding, formatting, analysis, and text manipulation - all accessible directly within your AI assistant workflow.

Claude 3.7 Swarm with Field Coherence: A Model Context Protocol (MCP) server that orchestrates multiple specialized Claude 3.7 Sonnet instances in a quantum-inspired swarm. It creates a field coherence effect across pattern recognition, information theory, and reasoning specialists to produce optimally coherent responses from ensemble intelligence.

demo multiplexing mcp servers

A simple chat loop that includes multple mcp servers.

Custom MCP Server to integrate with tools and run inside a n8n instance

This is a revolutionary AI MCP plugin with excellent pluggable and encapsulated features. With just a few lines of configuration, it can easily integrate into your Spring boot web program and give it MCP capabilities,inheriting the powerful engineering capabilities of the Spring series framework

The open-source multi-agent chat interface that lets you manage multiple agents in one dynamic conversation and add MCP servers for deep research

🚀 Your Private App Platform - Deploy Node.js, Python, Go, Java & more to CapRover, AWS, GCP with one CLI. Features MCP integration for Cursor.com, smart collision detection, auto-SSL, and costs 80% less than Heroku. Transform any $5 server into your personal Vercel.

Pedagogical word enrichment for AI agents. One API call returns what would cost 5 separate calls + an LLM generation: definition, IPA pronunciation, etymology as narrative, a teaching insight from Kelly (AI tutor), translations in 8 languages with native pronunciations, 3 age-appropriate explanations (kid/adult/senior), and a knowledge graph of connected words. Pre-computed and edge-cached on Cloudflare D1 — ~3ms response globally. Also includes 62,000 daily lesson segments across 365 days, 11 languages, and 3 age tiers. Built for tutoring agents, language learning apps, and educational chatbots. 6 tools: word_enrich, word_translate, word_connections, word_search, word_batch, lesson_of_day.

Process and prepare your multimodal medical data with natural language!

Share documents securely, track who views them, and manage your finances — all through AI. Create sharing links with password protection, email gates, NDA agreements. Get real-time analytics: page heatmaps, viewer engagement, download tracking. Full invoicing with estimates, clients, companies, products. Personal & business accounting: transactions, transfers, multi-currency, batch receipts. 15+ tools with granular OAuth 2.1 scopes.

Elasticsearch Integration with MCP - Multi-team and multi-environment support

42-tool MCP server for CRM, relationship intelligence, and multi-agent orchestration. Search contacts, manage deals, analyze relationships, and coordinate AI agents.

A custom MCP server with RAG capabilities and multiple search providers (Gemini 2.0 and Linkup)

Build and deploy an autonomous Devto Agent capable of interacting with the Dev.to platform, powered by A2A (Agent-to-Agent) and MCP (Model Context Protocol)

This project is a proof of concept for running a local-first multi-agent system using: 🤖 Local LLMs via Ollama 🧩 Simple function/tool-call detection using <tool_call>... 🔍 Brave Search API or optional Brave MCP plugin server 🧠 Two collaborating agents: Searcher and Synthesizer

A iOS/MacOS Swift MCP Client using voice interacting with python MCP servers both natively

Digimon Engine — Multi-Agent, Multi-Player Framework for AI-Native Games and Agentic Metaverse

Advanced MCP server for code intelligence with multi-repository support, Tree-sitter parsing, DuckDB graph database, and ChromaDB vector search

MCP Server generated by mcp.ag2.ai

A web-hosted AI chat platform available at moopoint.io, designed for developers and advanced users to interact with multiple large language models (LLMs) through a single, unified interface. The platform allows seamless integration with custom MCP servers and gives users secure control over their own API keys for providers such as OpenAI, Anthropic, and others.

The llm_to_mcp_integration_engine is a communication layer designed to enhance the reliability of interactions between LLMs and tools (like MCP servers or functions).

This is a revolutionary AI MCP plugin with excellent pluggable and encapsulated features. With just a few lines of configuration, it can easily integrate into your Spring boot web program and give it MCP capabilities,inheriting the powerful engineering capabilities of the Spring series framework

Kubernetes Control Plane Server for Managing Multiple Clusters – the central pilot for your k8s fleets

A powerful MCP tool for forging and managing AI agent personalities with customizable expert traits and behaviors. 一个可以由大模型控制并定制Agent的MCP工具，supervisor架构，低成本复刻类似于CO-STORM的multi-agent research。

This is a revolutionary AI MCP plugin with excellent pluggable and encapsulated features. With just a few lines of configuration, it can easily integrate into your Spring boot web program and give it MCP capabilities,inheriting the powerful engineering capabilities of the Spring series framework