Model Context Protocol servers let AI agents reach beyond the codebase. They connect your agent to external APIs, databases, search engines, and services through a standardized protocol, so the agent can actually take action, not just write code.
1088 servers
Microsoft 365 MCP Server A Model Context Protocol (MCP) server for interacting with Microsoft 365 and Microsoft Office services through the Graph This server supports multiple Microsoft cloud environments: - Node.js >= 20 (recommended) - Node.js 14+ may work with dependency warnings - Authentication via Microsoft Authentication Library (MSAL) - Comprehensive Microsoft 365 service integration - Rea
Pepper gives AI agents eyes and hands inside iOS Simulator apps. It injects a shared library into any running simulator app — no source changes, no SDK, no build step. Your agent sees the screen as structured data, taps buttons, inspects live objects, intercepts network calls, reads the heap, and debugs layout issues. Dylib injection requires the simulator; device support uses a different mechanis
This Model Context Protocol server implementation of Asana allows you to talk to Asana API from MCP Client such as Anthropic's Claude Desktop Application, and many more. More details on MCP here: - https://www.anthropic.com/news/model-context-protocol - https://modelcontextprotocol.io/introduction - https://github.com/modelcontextprotocol - ASANAACCESSTOKEN: (Required) Your Asana access token - RE
- Fixed reply threading — auto-resolves In-Reply-To and References headers so email replies land in the correct thread instead of creating orphaned messages (upstream PR 91, still pending) - Send-as alias support — optional from parameter for multi-identity email management (send from any configured Gmail alias) - Reply-all tool — replyall automatically fetches the original email, builds To/CC rec
Geocoding MCP server with GeoPY! - Python 3.6+ Install all required dependencies: - fastmcp: Framework for building Model Context Protocol servers - geoPy: Python library for accessing and geocoding/reverse geocoding locations. All dependencies are specified in requirements.txt for easy installation. - System Requirements - Dependencies - MCP Tools - Getting Started - Installation Options - Claude
Replicate Flux MCP is an advanced Model Context Protocol (MCP) server that empowers AI assistants to generate high-quality images and vector graphics. Leveraging Black Forest Labs' Flux Schnell model for raster images and Recraft's V3 SVG model for vector graphics via the Replicate API. - Getting Started & Integration - Setup Process - Cursor Integration - Claude Desktop Integration - Smithery Int
A Model Context Protocol (MCP) server implementation for the Didlogic API. This server allows Large Language Models (LLMs) to interact with Didlogic services through a standardized interface. - Full access to Didlogic API through MCP tools - Specialized prompts for common operations - Balance management tools - SIP account (sipfriends) management - IP restriction management - Purchases management
This document covers the set up and use of a generic ODBC server for the Model Context Protocol (MCP), referred to as an mcp-odbc server. It has been developed to provide Large Language Models with transparent access to ODBC-accessible data sources via a Data Source Name configured for a specific ODBC Connector (also called an ODBC Driver). This MCP Server for ODBC is a small TypeScript layer buil
Use when the user asks about Aethon Credit Intelligence (ACI) Risk Indicators for digital asset yield providers and products — which modules exist, which providers sit in a module or risk band, one provider's indicator or breakdown, a side-by-side comparison, a portfolio composite, or a summary of these outputs for a committee. Reports only the fields the ACI connector returns.
mcp-k8s-eye is a tool that can manage kubernetes cluster and analyze workload status. - [x] Connect to a Kubernetes cluster - [x] Generic Kubernetes Resources management capabilities - Support all navtie resources: Pod, Deployment, Service, StatefulSet, Ingress... - Support CustomResourceDefinition resources - Operations include: list, get, create, update, delete - [x] Pod management capabilities
A Model Context Protocol (MCP) server that provides Oracle Cloud Infrastructure pricing data to AI assistants like Claude. AWS, Azure, and GCP all have pricing MCP servers. OCI did not - until now. You ask Claude: Claude responds (using this MCP): You ask Claude: Claude responds (using this MCP): Available presets: - small-web-app - 1 OCPU, 8GB, 100GB storage, LB - medium-api-server - 4 OCPU, 32GB
MCP server for Naver Search API and DataLab API integration, enabling comprehensive search across various Naver services and data trend analysis. You can use this server immediately without API keys through Kakao PlayMCP. Simply visit the link and start using it right away! - findcategory: Category search tool so you no longer need to manually check category numbers in URLs for trend and shopping
An MCP server that streams real-time cryptocurrency liquidation events from Binance, enabling AI agents to react instantly to high-volatility market movements. - Real-time Liquidation Streaming: Connects to Binance WebSocket to capture liquidation events. - Liquidation Data Storage: Maintains an in-memory list of up to 1000 liquidation events, with no persistent storage. - Tool: getlatestliquidati
A Model Context Protocol (MCP) server for Flipt, allowing AI assistants to interact with feature flags. - List, create, update, and delete namespaces, flags, segments, rules, and more - Evaluate flags for specific entities - Toggle flags on/off - Manage constraints, variants, distributions, and rollouts Once the server is running, it will: 1. Set up a STDIO transport for MCP communication 2. Regis
English | 中文 A MCP server that send desktop notifications with sound effect when agent tasks are completed. - Send system desktop notifications after agent tasks completion - Play alert sounds to grab user attention, with sound file inside. - Cross-platform support (Windows, macOS, Linux) - Based on standard MCP protocol, integrates with various LLM clients After installation, call the module dire
日本語版 README はこちら Translation quality evaluation MCP Server powered by xCOMET (eXplainable COMET). xCOMET MCP Server provides AI agents with the ability to evaluate machine translation quality. It integrates with the xCOMET model from Unbabel to provide: - Quality Scoring: Scores between 0-1 indicating translation quality - Error Detection: Identifies error spans with severity levels (minor/major/c
An MCP (Model Context Protocol) server that enables running Bruno collections. This server allows LLMs to execute API tests using Bruno and get detailed results through a standardized interface. Run Bruno collections using the Bruno CLI Support for environment files Support for environment variables Detailed test results including: Overall success/failure status Test summary (total, passed, failed
Bring async-first working practices into your editor and AI assistant. This Model Context Protocol server gives your AI the tools to draft a decision doc, turn a meeting into an async artifact, pressure-test a status update, or settle a sync-vs-async debate — without leaving the tools you already work in. It's the method from Open and Async — the collaborative software-development playbook for rem
This is a server that lets your LLMs (like Claude) talk directly to your BigQuery data! Think of it as a friendly translator that sits between your AI assistant and your database, making sure they can chat securely and efficiently. No more writing SQL queries by hand - just chat naturally with your data! This server uses the Model Context Protocol (MCP), which is like a universal translator for AI
This Model Context Protocol(MCP) server enables Large Language Models (LLMs) to make drawings using JavaFX primities. The server is implemented using Quarkus MCP and JavaFX. Initial idea and implementation is from @konczdev See video here. 1. Install jbang 2. Configure your MCP Client to run the server as jbang jfx@quarkiverse/quarkus-mcp-servers (see Claude Desktop Config below) Add this to your
Connect to your Amazon Advertising Data by integrating your account with MarketplaceAdPros. Provides access to: - Advertising Resources in Sponsored Products, Sponsored Brands and Sponsored Display, like Campaigns, Ad Groups, Keywords, Product Ads, Targeting - Reports and ability to query them with plain english. - Marketplace Ad Pros Recommendations, Experiments and more with purchased subscripti
A [Model Context Protocol][mcp] (MCP) server that enables AI assistants to execute KQL queries and explore Azure Data Explorer (ADX/Kusto) databases through standardized interfaces. This server provides seamless access to Azure Data Explorer and Eventhouse (in Microsoft Fabric) clusters, allowing AI assistants to query and analyze your data using the powerful Kusto Query Language. [mcp]: https://m
mcp.apify.com The Apify Model Context Protocol (MCP) server at mcp.apify.com enables your AI agents to extract data from social media, search engines, maps, e-commerce sites, and any other website using thousands of ready-made scrapers, crawlers, and automation tools from Apify Store. It supports OAuth, allowing you to connect from clients like Claude.ai or Visual Studio Code using just the URL.
mcp-google-sheets Your AI Assistant's Gateway to Google Sheets! 📊 mcp-google-sheets is a Python-based MCP server that acts as a bridge between any MCP-compatible client (like Claude Desktop) and the Google Sheets API. It allows you to interact with your Google Spreadsheets using a defined set of tools, enabling powerful automation and data manipulation workflows driven by AI. Essentially the serv