"Juniper Networks" matching MCP servers:

Local-first MCP server that lets AI agents design Cisco-style networks and generate L1/L2/L3 topology diagrams, device tables, and AI-ready context files.

Query your Juniper Mist network in natural language directly from Claude Desktop, providing read-only access to network inventory, clients, alarms, and more via the Mist API.

Enables LLMs to interact with the Juniper Mist API via a dynamic index and sandboxed code execution, allowing search and execution of all 1,011 endpoints without pre-training.

MCP server for network operations that lets AI assistants interact with Cisco/Juniper network devices through safe, well-defined tools like compliance audits and configuration backups.

Enables AI assistants to interact with peer-to-peer networks (libp2p) and DeFi protocols, including oracle networks, cross-chain communication, and intent-based execution.

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.

Enables AI assistants to search products and generate affiliate links across European and global affiliate networks, automating product discovery and link creation for monetization.

Enables AI agents to simulate network failures and test application resilience in Playwright browser sessions.

Render hierarchical system diagrams as PNGs from YAML definitions using a four-level ontology of networks, factories, machines, and nodes.

Enables LLMs to directly control, introspect, and build TouchDesigner networks in real-time through a Model Context Protocol server.

A Model Context Protocol server that enables AI assistants to read and safely modify TP-Link Omada networks through capability-gated tools, with a default read-only profile and dry-run writes for security.

A minimal network monitoring MCP tool for Playwright browser automation. Just 5 simple tools to capture, filter, and analyze network traffic during web automation with MCP context efficiency.

Enables Claude Code to inspect network traffic, query the DOM, read console logs, and capture WebSocket frames in Firefox.

Exposes NeuroGraph's scientific API to AI models as MCP tools, enabling them to query, analyze, and visualize brain networks — regions, tracts, connectivity, literature, and cross-species homologies — drawn from a portable SSD-based neuroimaging data library. Lets models read real atlas data, load datasets, compute graph metrics, and produce visualization scene descriptors without acting as the scientific engine itself.

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.

MCP server that lets AI agents bridge native USDC between networks (Ethereum, Base, Arbitrum, OP Mainnet, Polygon, Avalanche, and testnets) via Circle CCTP V2, featuring idempotent transfers, disk-persisted state, balance/gas checks, and configurable limits.

Enables MCP clients like Claude Desktop to interact with ANP (Agent Network Protocol) agents through three core tools: authentication setup, document fetching, and OpenRPC method invocation. Converts ANP's crawler-style interaction paradigm into MCP-compatible tools for seamless agent communication.

Enables AI assistants to interact with Autodesk Civil 3D through natural language, supporting tools for surfaces, alignments, profiles, corridors, pipe networks, COGO points, and AutoCAD geometry.

Cross-publishes a single markdown draft to 5 CMS platforms (dev.to, Hashnode, Ghost, WordPress, Medium) and 4 social networks (Bluesky, Mastodon, LinkedIn, X) from any MCP client, with built-in SEO scoring, schema.org JSON-LD, and canonical URL handling so cross-posts compound search rankings instead of competing.

An MCP server for OpenShift Baremetal IPI cluster provisioning, allowing users to generate and validate install-config.yaml files, test BMC connectivity, validate networks, and manage cluster installation lifecycle.