"Interactive Network Graph Visualization Tools" matching MCP servers:

Provides tools for AI-powered graph analysis, including relationship extraction, adjacency matrix creation, and network centrality calculations. It enables users to perform complex structural analysis and generate interactive D3.js visualizations from structured data.

Network diagnostics tool for AI agents that provides DNS lookup, IP geolocation, SSL certificate inspection, WHOIS queries, and HTTP latency testing.

Provides MCP tools for governed multi-vendor network device operations, including configuration management (backup, diff, merge, replace, rollback) and read-only queries (facts, interfaces, BGP, LLDP, ARP) via NAPALM, with optional NetBox source-of-truth integration.

Enables generation of 11 chart types — including A-share K-line, decision tree, combo and waterfall — from JSON data, with automatic CJK font detection and light/dark themes.

Enables querying a TypeScript codebase's graph for call flows, type relationships, and symbol locations without reading file bodies.

interactive-mcp

Enables creating interactive data visualizations from natural language queries using DuckDB for local databases or Databricks for enterprise data warehouses. Supports multiple chart types, CSV imports, SQL queries, and automatic statistical analysis through Claude Desktop.

An MCP server that gives your agent a persistent project brain: vision, architecture decisions, conventions, roadmaps, and automatic session handoff.

Enables AI agents to interact with interactive CLI processes via a real PTY, allowing them to send keystrokes, read screen output, and handle interactive prompts.

Provides automated data visualization and analysis tools that intelligently select from over 40 chart types based on data structure and patterns. It enables users to generate statistical insights, interactive dashboards, and professional reports in HTML, PNG, and Word formats.

A secure MCP server for network diagnostics, providing tools like ping, traceroute, whois, nslookup, dig, nmap, curl, and netstat through natural language interfaces.

A MCP server that collects interactive user feedback during AI-assisted development, reducing unnecessary tool calls and costs by enabling AI to confirm with users.

A Node.js/TypeScript MCP server that facilitates interactive communication between LLMs and users, allowing AI assistants to request user input, display notifications, and manage command-line chat sessions.

MCP server that gives AI agents real interactive terminal sessions for running REPLs, SSH, database clients, and any interactive CLI with clean text output and smart completion detection.

Lets MCP clients discover x402 APIs, pay for calls from a local non-custodial wallet, and inspect balances and payment receipts.

Enables AI assistants to request user input through interactive popups in VS Code, supporting button selections, text inputs, and confirmation dialogs. This system allows for seamless human-in-the-loop interactions without interrupting the conversational flow.

Enables MCP-compatible agent frameworks to open a dedicated browser window that renders step-by-step SVG blackboard explanations with KaTeX math, and to pause for user input through a blocking show-and-wait loop while keeping reasoning in the calling LLM.

MCP server for managing a home network via a UniFi Dream Machine, enabling device lookup, tagging, and blocking/unblocking of clients through natural language.

Multi-agent swarm orchestrator for AI workflows. Exposes blackboard read/write, agent dispatch, permission gating (AuthGuardian), token budget enforcement (FederatedBudget), and audit log tools over MCP. Supports 14 AI framework adapters including LangChain, AutoGen, CrewAI, Codex, and A2A — mix any frameworks in one swarm with race-condition-safe shared state.(Traffic light for agents)

Enables AI assistants to understand lab topologies, follow operational principles, and interact with real network devices through observable terminals while keeping private access information hidden.