"How to connect Cisco Packet Tracer 8.2.2 to my cursor" matching MCP servers:

MCP server for Cisco CUCM operational debugging — 61 tools covering logs, device inventory, performance monitoring, packet capture, call analysis, service control, AXL discovery, certificates, backups, CTI status, and cluster topology.

Enables network packet capture, analysis, and threat detection via distributed client-server architecture with RabbitMQ, PostgreSQL, and external security APIs (NVD CVE, MITRE ATT&CK, AbuseIPDB).

Provides AI assistants with read-only access to Cisco Duo identity and MFA administration data, including users, enrolled devices, tokens, groups, integrations, and authentication/administrator/telephony logs.

An MCP server for Cisco Catalyst SD-WAN that lets LLM clients query fabric inventory, device health, alarms, and path quality from vManage. It is read-only by default, with configuration-changing tools available only when explicitly enabled and requiring human confirmation.

Enables LLMs to safely write and run bpftrace scripts against the Linux kernel for observability, with explicit probe allowlists and execution timeout.

MCP server that wraps Cursor Enterprise API to enable AI agents to answer questions about team spending, usage, and model adoption.

Query Grafana logs, metrics, and dashboards from Cursor. Enables the AI to call your Grafana instance via tools without leaving the editor.

Enables intelligent troubleshooting, monitoring, and configuration of Cisco Meraki networks through natural language, with agentic workflows for automated diagnostics and health checks.

Um servidor MCP completo para integração com Sentry no Cursor, oferecendo 27 ferramentas para monitoramento de erros, performance e saúde de aplicações.

Fetches Langfuse observability traces directly into a VS Code coding agent's context, enabling querying and viewing trace data through natural language.

Enables AI clients to query SD-WAN fabric health, devices, tunnels, BFD sessions, OMP peers, alarms, policies, and configuration state via natural language, with deterministic correlation and diagnostics for incident assessment.

Enables MCP-compatible clients to inspect the local machine's CPU, memory, and disk information through tools, a structured resource, and an upgrade-assessment prompt.

Privacy friendly, cookieless web analytics built MCP-first. "Add analytics to my Next.js app" → an AI agent runs the setup_analytics_for_site tool, picks the right install snippet, edits your layout file, and verifies the script is loading. OAuth onboarding, no API keys to paste.

Enables AI assistants to analyze, filter, and capture network traffic using Wireshark/tshark, allowing natural language interaction with packet captures.

A read-only MCP server for OpenWrt routers with Nikki and Mihomo that provides diagnostics like network snapshots, flow inspection, and packet capture to help agents troubleshoot network issues.

An MCP server that exposes TShark as tools for AI-assisted network packet analysis, supporting PCAP analysis, live capture, TLS decryption, and telecom/SS7 signaling protocols.

Enables AI assistants to securely investigate packet captures through Wireshark's tshark engine, with bounded tools for protocol inventory, TCP failure diagnosis, latency measurement, and threat hunting.

Enables LLMs to load and analyze PCAP/PCAPNG files using Wireshark's sharkd interface, supporting packet inspection, traffic structure, conversations, and protocol statistics through natural language.

Enables local LLM clients to capture and analyze network traffic using Wireshark's CLI tools, providing packet summaries, protocol hierarchies, conversations, endpoints, expert info, and stream reassembly without shell access.

An MCP server for perfSONAR that enables querying historical network measurements, discovering global testpoints, and scheduling active network tests. It provides tools for monitoring throughput, latency, and packet loss through integration with measurement archives and pScheduler.