MCP

A Model Context Protocol (MCP) server for creating and manipulating Stella system dynamics models. This enables AI assistants like Claude to programmatically build, read, validate, and save .stmx files in the XMILE format. Stella is a system dynamics modeling tool used for simulating complex systems in fields like ecology, biogeochemistry, economics, and engineering. This MCP server allows AI assi

MCP server for SparkSheets - AI-powered document platform integration for Claude Code, Cursor, and Cline. 日本語 | English Add to your ~/.claude.json: Then login with your SparkSheets account: - Session Management - Save and search development session history - Knowledge Base - Store error solutions and code snippets - Usage Tracking - Sync /stats output and work time - Sheet Operations - Create, edi

This repo contains the source code for running a local MCP server that interacts with APIs for Google Analytics. Join the discussion and ask questions in the 🤖-analytics-mcp channel on Discord. The server uses the Google Analytics Admin API Google Analytics Data API to provide several Tools for use with LLMs. - getaccountsummaries: Retrieves information about the user's Google Analytics accounts

Universal MCP server for CalDAV protocol integration. Works with any CalDAV-compatible calendar server including Yandex Calendar, Google Calendar (via CalDAV), Nextcloud, ownCloud, Apple iCloud, and others. - List available calendars - Create calendar events with reminders and attendees - Get events for today, week, or custom date range - Works with any CalDAV-compatible server (Yandex, Google, Ne

A Model Context Protocol (MCP) server for interacting with GitLab merge requests and issues. This project implements a server using the Model Context Protocol (MCP) that allows AI agents to interact with GitLab repositories. It provides tools for: - Listing available GitLab projects - Fetching merge request details and comments - Getting merge request diffs - Adding comments to merge requests - Ad

stats-compass-mcp Turn your LLM into a data analyst. Multiple data science tools via MCP. Restart your client and start asking questions about your data. Run stats-compass-mcp list-tools to see all available tools. Start your message with "Use stats compass to..." — this tells the AI to use the Stats Compass tools instead of trying to write code or use other methods. Local mode: Start with "Use st

One Codebase. REST for Humans, MCP for AI Agents. Laravel Restify turns your Eloquent models into both JSON:API endpoints and MCP servers -- automatically. Build once, and instantly serve APIs that work seamlessly for developers, apps, and AI agents. Traditional API development requires separate implementations for different consumers. Laravel Restify changes that: - Humans get full-featured JS

A Streamable-HTTP MCP Server that uses memvid to encode text data into videos that can be quickly looked up with semantic search. Supported Actions: - addchunks: Adds chunks to the memory video. Note: each time you add chunks, it resets the memory.mp4. Unsure if there is a way to incrementally add. - search: queries for the top-matching chunks. Returns 5 by default, but can be changed with topk pa

MCP (Model Context Protocol) server for blockchain data interaction through the Bankless API. The Bankless Onchain MCP Server provides a framework for interacting with on-chain data via the Bankless API. It implements the Model Context Protocol (MCP) to allow AI models to access blockchain state and event data in a structured way. The server provides the following onchain data operations: - Read C

A Model Context Protocol (MCP) server implementation for 4EVERLAND Hosting enabling instant deployment of AI-generated code to decentralized storage networks like Greenfield, IPFS, and Arweave. The 4EVERLAND Hosting MCP Server enables users to leverage AI-driven workflows to deploy code instantly to decentralized storage networks such as Greenfield, IPFS, and Arweave. Upon deployment, it provides

Generate Apache ECharts with AI MCP dynamically for chart generation and data analysis. Also you can use mcp-server-chart to generate chart, graph, map. - Fully support all features and syntax of ECharts, include data, style, theme and so on. - Support exporting to png, svg, and option formats, with validation for ECharts to facilitate the model's multi-round output of correct syntax and graphics.

This package wraps the dAWShund project in two different servers so you can enumerate AWS IAM data, evaluate effective permissions and obtain a high‑level summary without having to remember a handful of separate scripts. The upstream project describes itself as a way to “put a leash on naughty permissions” and provides three main components: sAWSage – enumerates IAM principals and resource policie

AI-powered virtual staging MCP server for real estate professionals. Stage empty rooms with photorealistic furniture, beautify floor plans into 3D renders, classify room images, generate German property descriptions, and get staging style recommendations — all through the Model Context Protocol. Built for Immobilienmakler, PropTech platforms, and real estate photographers in the DACH market. Conne

AI‑powered YouTube uploader—no CLI, no YouTube Studio, and no secrets ever shared with LLMs or third‑party apps and all free of cost! It includes OAuth2 authentication, token management, and video upload functionality. - Upload videos to YouTube from MCP Client(Claude/Cursor/VS Code) - OAuth2 authentication flow - Access token and refresh token management - Multi Channel Support - Schedule video u

IMPORTANT: This project is deprecated. Spacebridge MCP server is now available over HTTPS. See instructions at https://spacebridge.io A Model Context Protocol (MCP) server that integrates with the SpaceBridge REST API (https://spacebridge.io/docs) to automate issue management across connected issue trackers. SpaceBridge-MCP is a Model Context Protocol (MCP) server designed to integrate AI developm

Multi-cloud pricing comparison MCP server for AWS, Azure, GCP, and OCI. Compare compute, storage, egress, and Kubernetes costs across all major cloud providers with a single query. - Comprehensive Coverage: 2,700+ instance types across all providers - AWS: 1,147 EC2 instances + 353 RDS database types + Lightsail - Azure: 1,199 VM types - GCP: 287 instance types across 40+ regions - OCI: 600+ produ

The Parallel Search MCP allows using Parallel Search API from within any MCP-compatible LLM client. It is meant for daily use for everyday smaller web-search tasks. Please read our MCP docs here for more details. The official installation instructions can be found here. Running locally This is a Search MCP proxy server (https://search-mcp.parallel.ai) that proxies /mcp to https://mcp.parallel.ai/v

A Model Context Protocol (MCP) server for the Open Library API that enables AI assistants to search for book and author information. This project implements an MCP server that provides tools for AI assistants to interact with the Open Library. It allows searching for book information by title, searching for authors by name, retrieving detailed author information using their Open Library key, and g

A powerful and efficient Blockchain address risk scoring API MCP Server, leveraging the BICScan API to provide comprehensive risk assessments and asset information for blockchain addresses, domains, and decentralized applications (dApps). - Risk Scoring: Obtain risk scores for various blockchain entities, including crypto addresses, domain names, and decentralized application URLs, with scores ran

Wrap any existing Echo API into MCP tools, enabling AI agents to interact with your API through Model Context Protocol. Inspired by gin-mcp but for the Echo framework. - Zero Configuration: Works with any existing Echo API - Multiple Schema Sources: Support for Swaggo, raw OpenAPI YAML/JSON, and manual schemas - Filtering: Include/exclude endpoints with wildcard patterns - MCP Compatible: Works wi

A Model Context Protocol (MCP) server implementation for Azure DevOps, allowing AI assistants to interact with Azure DevOps APIs through a standardized protocol. This server implements the Model Context Protocol (MCP) for Azure DevOps, enabling AI assistants like Claude to interact with Azure DevOps resources securely. The server acts as a bridge between AI models and Azure DevOps APIs, providing

This project provides a FastMCP server for mathematical computations, including numerical and symbolic calculations, as well as plotting. - Python 3.12 or higher (To install Python3.12 follow Python Download) - uv (To install uv follow uv Installation) You can find the mcp.json file in the MCP: Open User Configuration or MCP: Open Workspace Configuration Add the following to your mcp.json: If you'

This is the MCP server of atest. Please start the MCP server with atest gRPC port. or start in Docker or start in npx You can also set the MCP server mode with the --mode flag. or as stdio mode: You can build the binary with the following command: You can build .dxt package with the following command: You can publish the package with the following command:

An MCP server implementation that integrates with Freshdesk, enabling AI models to interact with Freshdesk modules and perform various support operations. - Freshdesk Integration: Seamless interaction with Freshdesk API endpoints - AI Model Support: Enables AI models to perform support operations through Freshdesk - Automated Ticket Management: Handle ticket creation, updates, and responses The se