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A Model Context Protocol (MCP) server implementation that provides a bridge between AI models and the Meilisearch search engine.

Use natural language to control your tools, apps, and services connect once, command everything.

A collection of Model Context Protocol (MCP) servers that let you control your computer by talking naturally with Claude.

This page aggregates information related to the Model Context Protocol (MCP). Users can query MCP-related questions through deepwiki.com.

Exploring unified dynamic tool discovery and execution for LLM agents.

A Model Context Protocol (MCP) tool that retrieves relevant information about Godot game engine from a local ChromaDB database.

A Model Context Protocol (MCP) server implementation for DiceDB to enable interactions between AI applications (hosts/clients) and DiceDB database servers.

A Model Context Protocol server for retrieving and analyzing data or running tasks for Ramp using Developer API. In order to get around token and input size limitations, this server implements a simple ETL pipeline + ephemeral sqlite database in memory for analysis by an LLM. All requests are made to demo by default, but can be changed by setting RAMP_ENV=prd. Large datasets may not be processable due to API and/or your MCP client limitations.

Memex is a tool for Model Context Protocol (MCP) that allows you to analyze web content and add it to your knowledge base.

Instructions to run mcp serve

Open WebUI is an extensible, feature-rich, and user-friendly self-hosted AI platform designed to operate entirely offline. It supports various LLM runners like Ollama and OpenAI-compatible APIs, with built-in inference engine for RAG, making it a powerful AI deployment solution.

WireMCP is a Model Context Protocol (MCP) server designed to empower Large Language Models (LLMs) with real-time network traffic analysis capabilities. By leveraging tools built on top of Wireshark's tshark, WireMCP captures and processes live network data, providing LLMs with structured context to assist in tasks like threat hunting, network diagnostics, and anomaly detection.

Self: https://github.com/palladius/ai-friendly-agents/ (public)

A neural memory system for LLMs that can learn and predict sequences while maintaining state through a memory vector. This MCP (Model Context Protocol) server provides tools for Claude 3.7 Sonnet and other LLMs to maintain memory state across interactions.

LangGraph ReAct MCP Chat Model Context Protocol(MCP) ReAct . LangGraph , MCP .

A Rust implementation of Anthropic's Model Context Protocol (MCP), an open standard for connecting AI assistants to data sources and tools.

API Model Context Protocol(MCP) . MCP LLM(Large Language Model) .

A Python-based Model Context Protocol (MCP) server that provides AI assistants like Claude with access to your Radarr (movies) and Sonarr (TV series) data.

Prometheus Alertmanager MCP is a Model Context Protocol (MCP) server for Prometheus Alertmanager. It enables AI assistants and tools to query and manage Alertmanager resources programmatically and securely.

A Model Context Protocol (MCP) server that provides AI-powered Word document manipulation capabilities. This server implements the MCP protocol to enable AI applications to create, edit, and manage Word documents through natural language interactions.

A Model Context Protocol (MCP) server that enables semantic search and RAG (Retrieval Augmented Generation) over your Apple Notes. This allows AI assistants like Claude to search and reference your Apple Notes during conversations.

Cursor MCP is a bridge between Claude's desktop application and the Cursor editor, enabling seamless AI-powered automation and multi-instance management. It's part of the broader Model Context Protocol (MCP) ecosystem, allowing Cursor to interact with various AI models and services through standardized interfaces.

Model Context Protocol server that retrieves logs from a specific Kubernetes cluster and namespace from Datadog for analysis by Claude.

The Targetprocess MCP Server enables AI assistants to interact with your Targetprocess data, letting you query, create, and manage work items through natural language. Ask questions about your projects, update work items, and get insights without switching contexts.

A long-term memory storage system for LLMs using the Model Context Protocol (MCP) standard. This system helps LLMs remember the context of work done over the entire history of a project, even across multiple sessions. It uses semantic search with embeddings to provide relevant context from past interactions and development decisions.

AI AI AI AI

Akto MCP Server is a Spring Boot-based Model Context Protocol (MCP) server, designed to provide AI-powered tools and APIs to interact with Akto. It leverages the Spring AI and is container-ready for easy deployment.

Will be the repo for an MCP agent and server

The Application Security Onion diagram visualizes the layered security concerns that modern applications face, with a particular focus on how newer LLM (Large Language Model) and Agent-based systems build upon traditional security foundations.

A Model Context Protocol server implementation for ChatterBox, enabling AI agents to interact with online meetings and generate meeting summaries.

A demo MCP (Model Context Protocol) server for Python AI course. This server demonstrates how to create a simple MCP server with tools that can be used by MCP clients like Claude Desktop and VSCode.

A Model Context Protocol (MCP) server that provides systematic thinking, mental models, and debugging approaches for enhanced problem-solving capabilities.

Welcome to Linear Regression MCP! This project demonstrates an end-to-end machine learning workflow using Claude and the Model Context Protocol (MCP).

MCP servers built by Truffle AI team. Can be used with Saiki to create powerful AI Agents.

The Model Context Protocol allows applications to provide context for LLMs in a standardized way, separating the concerns of providing context from the actual LLM interaction. Cortex implements the full MCP specification, making it easy to:

Collection of MCP Servers ofr use with anthropic and other models

A Model Context Protocol (MCP) server that enables Claude Desktop to search for matches in clincialtrials.gov based on mutations.

This Python sample shows how to use the Pearl MCP server with the OpenAI Agents SDK. The sample gets an AI answer to a legal question and then a second opinion from a human lawyer. The MCP server supports lawyers, doctors, mechanics, veternarians, tech support and hundreds of other professional specialties. You can verify information and directly interact wtih professionals via MCP or REST API.

B12's model context protocol server for generating websites with AI

PyTorch and tensorflow implementataion for the TCSVT 2024 paper: Mitigating Cross-modal Retrieval Violations with Privacy-preserving Backdoor Learning

This repository demonstrates how to implement the Model Context Protocol (MCP) architecture to connect Large Language Models (LLMs) with multiple external tools.

A Go+ implementation of the Model Context Protocol (MCP), enabling seamless integration between LLM applications and external data sources and tools.

https://www.anthropic.com/news/model-context-protocol

This is an AI assistant that runs using MCP.

an openAI middleware proxy to use mcp in any existing openAI compatible client

A simple yet powerful CLI chatbot that integrates tool servers with any OpenAI-compatible LLM API.

agent and data transformation framework

dockerized mcp client with Anthropic, OpenAI and Langchain.

Open-source AI Web UI, supporting multiple providers including OpenAI, Anthropic, Google, Ollama, and local models. Includes MCP support for Agents.

is an open source command line tool designed to be a simple yet powerful platform for creating and executing MCP integrated LLM-based agents.

CLI that generates MCP tools based on your Database schema and data using AI and host as REST, MCP or MCP-SSE server

- Provides AI assistants with direct access to Mastra.ai's complete knowledge base.

Use MCP provided tools in LangChain.js

A collection of MCP clients&servers to find the right mcp tools by Hekmon

no coding required by gching