An MCP server that enables remote SSH command execution and bidirectional file transfers through a standardized interface. It allows AI assistants to securely manage remote servers while keeping credentials isolated and applying command-level security controls.
Cross-device communication between AI agents over the public internet
Controls the Stata GUI through Windows Stata Automation COM, enabling do-file management, command execution, and data analysis within natural language workflows.
I gave Claude a mass grave of 200 markdown files and now it remembers my entire project between sessions. No cloud, no API keys, one 10mb Go binary, and private. Stateless Agent Memory Engine is your synapse to the CLI.
An MCP Server that enables multi-agent conversation interactions with the Stellastra API, auto-generated using AG2's MCP builder.
An MCP server that enables AI assistants like Cursor and Claude to interact with the Storyblok Management API. It allows users to manage stories, tags, components, assets, and workflows through natural language commands.
A multi-agent book-writing MCP server that manages a guarded chapter pipeline (writer → editor → third-pass agents → approve) with project planning, continuity tracking, and export/diff helpers.
Enables AI assistants to retrieve and display Strava activity data including workout details, distance, time, and dates. Currently uses sample data but can be extended for real Strava API integration.
全面解析String Catalog MCPMCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器，String Catalog MCP能让AI助手访问实时数据、执行操作，为您提供更智能的工作体验和自动化解决方案。
Enables AI assistants to manage student registration through natural language commands. Supports registering new students, listing all students, and retrieving specific student information with data validation.
AI memory server with 53 tools. Knowledge Graph, semantic search, session tracking, multi-agent support.
Agent-friendly semantic classification of all subgraphs on The Graph Network. Pre-computed index of 15,500+ subgraphs with domain classification, protocol type detection, schema fingerprinting, canonical entity mapping, and composite reliability scoring.
Enables AI assistants to search Sunex's lens and imager catalog using natural language queries. It provides tools for finding compatible lenses, sensor specifications, and product details through a public Model Context Protocol server.
A service that enables agents to build deterministic workflows across apps, databases and APIs using natural language, handling schema mapping, drift detection, and execution of integration pipelines automatically.
A powerful orchestration layer for Model Context Protocol (MCP) servers that enables AI assistants to dynamically discover, inspect, and interact with multiple MCP servers through a unified interface.
Provides LLMs with cognitive tools (Thinking Models), memory structures (Cells), and multi-agent patterns (Organs) for advanced reasoning, memory management, and orchestration. Automatically routes requests to appropriate strategies and generates custom agent blueprints.
Bridges Suunto watch data to AI assistants like Claude, enabling natural language queries about workouts, sleep, and recovery.
Automatically converts Swagger/OpenAPI specifications into MCP servers, enabling AI agents to interact with any REST API through natural language by exposing endpoints as AI-friendly tools.
Automatically converts Swagger 2.0 API specifications into MCP tools, enabling AI assistants to directly call REST APIs. Supports both local Swagger files and remote URLs with comprehensive parameter validation and error handling.
Enables AI assistants to discover, search, and interact with REST APIs by parsing OpenAPI/Swagger specifications with intelligent fuzzy search across endpoints, supporting both local and remote API sources.
