Enables AI assistants to identify processes listening on specific network ports by returning process names and PIDs. It provides infrastructure introspection capabilities through the Linux ss command to help users monitor and debug local services.
SSH Linux metrics, baselines, anomaly detection, and plain-English infrastructure explanations.
Create a new MCP server in TypeScript, batteries included.
Enables AI agents to create, manage, and execute API collections, requests, and environments in Insomnia-compatible formats. It supports direct synchronization with the local Insomnia app database and importing from OpenAPI, Postman, and cURL.
Enables LLMs to inspect and test other MCP servers by listing and calling their tools, reading resources, and getting prompts. Supports stdio, SSE, and HTTP transports for both local and remote MCP server inspection.
Provides programmatic access to MCP server testing, debugging, and validation capabilities by wrapping the official MCP Inspector. Enables users to test tools, validate protocol compliance, discover server capabilities, and debug MCP servers through natural language interactions.
The .NET visual testing tool for MCP servers
A basic MCP server template that provides a foundation for building custom tools, resources, and prompts. Serves as a starting point for developers to create their own MCP server functionality.
Provides persistent personal and organizational knowledge storage that any LLM can connect to for instant context about who you are, what you do, and your preferences. Enables AI agents to maintain long-term memory across sessions through structured data categories, semantic search, and export/import capabilities.
Routes requests to multiple downstream Model Context Protocol servers and provides a LangGraph.js-based agent with RAG capabilities for development assistance.
Enables interaction with SAP Integration Suite for designing, creating, and managing integration artifacts including integration flows, message mappings, packages, and B2B trading partner relationships through AI-powered natural language commands.
This server automatically validates consistency between AI-generated frontend and backend code by enforcing OpenAPI 3.0 specifications. It injects smart constraints into AI prompts to ensure that generated data structures and API calls remain synchronized across the entire stack.
A secure two-layer MCP integration system that connects local thin clients to a Google Cloud backend for authenticated access to internal corporate tools. It enables users to manage Odoo ERP records, Shopify products, and internal knowledge bases through natural language commands.
Enables inventory management through MongoDB with tools for creating, listing, searching, updating, and deleting items and categories. Supports natural language interactions via Groq AI integration.
A Python MCP server for invoice and receipt processing that uses OCR technology to extract data from PDFs and images, offering AI assistants the ability to process, extract text from, and merge invoice documents.
A Model Context Protocol server that allows AI assistants and applications to access IQ.wiki data, enabling retrieval of specific wikis, user-created wikis, user-edited wikis, and detailed wiki activities.
Enables automatic GitHub issue creation from Git diffs. Generates structured issue templates with summaries, technical notes, and appropriate labels based on code changes.
A gateway service that connects AI assistants to numerous external tools like Notion, GitHub, and Google Workspace through a single Model Context Protocol endpoint. It provides a centralized hub for managing multiple tool integrations with secure authentication and a unified API architecture.
A Fastify plugin that automatically converts API routes into Model Context Protocol tools, enabling AI assistants to directly interact with your API.
Sample of an MCP server using Spring AI with Java
