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A functional-models-orm datastore provider that uses the @modelcontextprotocol/sdk. Great for using models on a frontend.

Model Context Protocol server for Coda API integration

A command-line tool acting as an MCP (ModelContextProtocol) server, using Playwright to crawl web content for AI models.

Security scanner for MCP servers

MCP server for Magpipe — manage agents, calls, SMS, contacts, and phone numbers from AI coding tools

A Model Context Protocol server for IDA

Local MCP server for Tillit API using @modelcontextprotocol/sdk. Provides 195+ tools and 48+ resources for complete Tillit API access with built-in documentation.

Manage and monitor a single OpenStack project with bulk operations, consolidated queries, and real-time health reports. Filter and act across compute, networks, storage, images, orchestration, and load balancers with instant status verification. Protect tenants with strict project scoping and configurable modify permissions.

https://github.com/albermm/piranha-marketing

https://github.com/zw008/VMware-Monitor

MCP Aggregator, Orchestrator, Middleware, Gateway in one docker

A PHP library facilitating the creation of MCP-compliant servers, enabling seamless integration of PHP applications with AI tools and external systems.

Facilitates the execution of KQL queries against Azure Data Explorer within Claude Desktop, leveraging Azure CLI for secure authentication and structured data output.

Integrates with 4o-image API to enable AI-driven image generation and editing through text prompts.

A curated list of awesome Model Context Protocol (MCP) clients.

MCP server for WooCommerce integration

agentic development dotfiles | tmux/nvim/zsh/vscode | localhost or devcontainer

MCP Command Server provides a secure, containerized interface for remote command execution with built-in pattern-based security validation, comprehensive API documentation, and enterprise-ready deployment configurations.

Semantic Intelligence for Large-Scale Engineering. Context+ is an MCP server designed for developers who demand 99% accuracy. By combining RAG, Tree-sitter AST, Spectral Clustering, and Obsidian-style linking, Context+ turns a massive codebase into a searchable, hierarchical feature graph.