ThousandEyes MCP

ThousandEyes MCP

Enables AI assistants to query Cisco ThousandEyes v7 API for network monitoring data including tests, agents, alerts, dashboards, and test results (network, page-load, web-transactions, path visualization) for faster troubleshooting through natural language.

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thousandeyes-mcp

Model Context Protocol (MCP) server for Cisco ThousandEyes v7 — lets AI assistants query tests, agents, alerts, dashboards, widgets, and test results (network, page-load, web-transactions, path-vis).

Community project - NOT affiliated with Cisco/ThousandEyes.
Status: Alpha (MVP) read-only.


Why (business value)

  • Faster troubleshooting: Ask AI to “show outages in the last hour” or “figure out where the network traffic is getting stuck at” for super fast issues identification.

  • Consistency over scripts: Standard MCP tools replace one-off curl snippets.

  • Safer by default: Read-only; token is only read from env.

  • Composable workflows: Chain tools (tests → dashboard → widget → test results).


Current capabilities

Tool What it does Endpoint(s)
te_list_tests(aid?, name_contains?, test_type?) Lists tests (filter by name/type/AG) GET /v7/tests
te_list_agents(agent_types?, aid?) Lists enterprise / enterprise-cluster / cloud agents GET /v7/agents
te_get_test_results(test_id, test_type, window?/start?/end?/aid?/agent_id?) Test results (e.g., network, page-load, web-transactions; not dns-server) GET /v7/test-results/{testId}/{testType}
te_get_path_vis(test_id, window?/start?/end?/aid?/agent_id?/direction?) Path visualization data GET /v7/test-results/{testId}/path-vis
te_list_dashboards(aid?, title_contains?) Lists dashboards GET /v7/dashboards
te_get_dashboard(dashboard_id, aid?) Dashboard details incl. widget list GET /v7/dashboards/{dashboardId}
te_get_dashboard_widget(dashboard_id, widget_id, window?/start?/end?/aid?) Widget data for a dashboard GET /v7/dashboards/{dashboardId}/widgets/{widgetId}
te_get_users() Lists users in the ThousandEyes account GET /v7/users
te_get_account_groups() Lists account groups available to the authenticated org GET /v7/account-groups

Requirements

  • Python 3.12+
  • ThousandEyes API v7 bearer token in env: TE_TOKEN

Install

python3 -m pip install -r requirements.txt
# If Python is externally managed:
# python3 -m venv .venv && . .venv/bin/activate && pip install -r requirements.txt

Configure (Claude Desktop)

Add to your claude_desktop_config.json (or Dev UI):

{
  "mcpServers": {
    "thousandeyes": {
      "command": "/ABS/PATH/TO/python3",
      "args": ["/ABS/PATH/TO/repo/src/server.py"],
      "env": { "TE_TOKEN": "YOUR_OAUTH_BEARER_TOKEN" }
    }
  }
}

Token is read only from env, never written to disk.


Try it out!

Example 1: In-depth Analysis of Customer Journeys for Optimizing Performance

https://github.com/user-attachments/assets/5915fb97-20ef-42af-ad53-f6889a839330

Example 2: Visualizing Performance Data

https://github.com/user-attachments/assets/c5ef796a-42fc-422f-82c0-9f8c4c68aeb8

Here are some other prompts to try out

  • What was the network health of the Patient Portal between 13:00–14:00 CET on 1 Sep 2025?
  • Which regions/agents showed elevated page-load time for the Patient Portal between 08:00–10:00 UTC today?”
  • Show uptime and TTFB for the Patient Portal homepage over the last 24 hours, and call out any drops.
  • Which enterprise agents had >1% packet loss to api.patient-portal.example.com this morning?”
  • Open the Patient Portal dashboard and list the widgets relevant to availability and the login flow and callout any widgets reporting no data
  • For test <ID>, compare network latency during 10:00–10:30 UTC vs. the prior 30 minutes.”
  • Show path visualization anomalies for test <ID> around 15:30 UTC yesterday.”

Security & privacy

  • Read-only tools - no writes.
  • No tokens or org data stored - token only via TE_TOKEN.
  • Respect org rate limits - backoff on the roadmap.

Roadmap

  • Adding feature support for alerts, tags, event detection, endpoint agents, etc.
  • Optional retries/backoff on 429.
  • Minimal CI and examples catalog.

License & attribution

  • Apache-2.0
  • “ThousandEyes” is a trademark of Cisco Systems, Inc. This project is NOT affiliated with Cisco/ThousandEyes.

Maintainers

  • Aditya Chellam · Kiran Kabdal

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