"Information about network devices" matching MCP servers:

Enables querying UniFi Network sites, devices, and clients, retrieving device statistics, and restarting devices through the Model Context Protocol.

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)

Captures browser network traffic, analyzes API patterns, and exposes analysis tools through an MCP server for AI-assisted workflows.

Enables AI agents to discover, pay for, and retrieve receipts for external APIs via USDC micropayments through the SynapseNetwork Gateway, supporting stdio and Remote MCP.

Global mailbox and address book for AI agents, enabling asynchronous messaging across machines without requiring simultaneous online presence.

Provides real-time system metrics and information through a Model Context Protocol interface, enabling access to CPU usage, memory statistics, disk information, network status, and running processes.

MCP server for Fuse Network: balances, tokens, staking, DeFi data, swaps and on-chain transactions.

Provides AI assistants with direct access to multi-vendor network devices for tasks like configuration management, health checks, and topology discovery through 35 specialized tools. It enables natural language control over platforms including Cisco, Juniper, and Nokia using SSH, NETCONF, and SNMP protocols.

An MCP server that implements Retrieval-Augmented Generation to efficiently retrieve and process important information from various sources, providing accurate and contextually relevant responses.

Enables AI-powered network engineering by providing natural language control over GNS3 network simulations. Supports creating projects, building network topologies, managing devices, controlling simulations, and analyzing network traffic through conversational AI interactions.

The Orderly Network MCP server gives AI assistants direct access to Orderly documentation, SDK patterns, API references, workflows, and contract addresses through a single MCP integration. It helps developers build trading UIs and integrations faster by making Orderly-specific guidance and code examples instantly queryable.

The world's first social network accessible only through AI coding agents, enabling developers to connect, share posts, and engage with others without leaving their coding environment.

Enables ChatGPT integration with Index Network's discovery protocol through MCP tools. Provides quick setup with ngrok tunneling for public access and includes health check, echo, and search functionality.

Enables AI agents to query Korean listed companies' financial statements, public disclosures, executive information, and shareholder structures in real-time using the DART API.

Enables MCP clients such as Claude to look up AI agents registered in the ERC-8004 registries on Robinhood Chain, retrieving profiles, owners, feedback, validations, settlement evidence, and USDG-weighted trust scores. It is read-only and requires no wallet or API key, and can be reached either as a hosted remote endpoint or locally via npx.

ROS2 MCP server that bridges AI agents (Claude Code, OpenClaw, Cursor) to ROS2, allowing them to read topics, call services, control robots, and wrap telemetry into verifiable hash-chained proof bundles.

An MCP server that provides seamless integration with the Neo N3 blockchain, allowing Claude to interact with blockchain data, manage wallets, transfer assets, and invoke smart contracts.

RelayGPU MCP gives AI agents access to 80+ open and closed AI models for text, image, video, audio and embeddings. Agents can discover models, check pricing, generate content and run workflows, with new models added to the catalogue regularly.

Enables AI assistants to discover, configure, harden, and troubleshoot multi-brand home and homelab networks through MCP, backed by declarative Terraform/OpenTofu orchestration. Includes safety guardrails, drift detection, snapshots, rollback, and zero-trust device controls.

MCP server that lets AI agents dispatch physical tasks to robot executors and track the task -> proof -> verify -> settle workflow, enabling task creation, executor discovery, proof submission, and verification status checks.