"Performing Email-Related Operations in Python" matching MCP connectors:
Matching Connector Tools:
Give AI coding agents access to your Vynix visual feedback, bug reports, and AI diagnosis.
Third-party signed reads of how an AI agent behaved: drift, vows, and the town it works in.
Breach intelligence API: email search, domain monitoring, passwords and stealer logs.
Uptime and website monitoring for AI agents. Query monitor status, incidents, heartbeats, domain expiry, and status pages in your Vantaj Uptime workspace.
Connect Google Analytics to ChatGPT. Query GA4 data in plain English and get instant insights.
Mezmo MCP is a remote Model Context Protocol (MCP) server that lets AI assistants and IDE chat agents interact with the Mezmo observability platform via the Model Context Protocol. Use it for streamlined observability, log analysis, and root-cause analysis in your favorite tools. Add Mezmo MCP and you can: 🕵️ Run advanced Root-cause analysis over recent logs 📦 List and describe Pipelines 📤 Export and filter Logs with powerful query syntax
Analyze web performance and get optimization insights from GTmetrix, directly in your AI workflow.
- manymeetOAuth
Webinar analytics for Zoom Meeting-based webinars: Funnels, transcripts, email engagement
AI access to Hitsteps analytics, live visitors, uptime, goals, alerts, and chats.
Enables monitoring and management of Ruckus Unleashed WiFi controllers, including APs, clients, WLANs, and system events. MCP server for Ruckus Unleashed (tested on R500/R600, built-in Embedthis-Appweb web server). Uses aioruckus to talk to the controller's AJAX API.
- analyticsOAuth
The statistical analyst in your AI chat — validated, citable, re-runnable analysis of your data.
Check infrastructure health, manage incidents, and run runbooks in Faultline.
Query metrics, targets, entities, and team data in your Steep workspace via MCP.
Read-only MCP server for Yandex Metrika analytics. Query visits, sources, geography, devices and more in plain language — directly in Claude, Cursor, or any MCP client.
MCP-native AI SRE: ask what's broken in production, get a reviewed GitHub fix PR.
Email deliverability monitoring and sending: bounces, complaints, suppression, campaigns.
MCP-native AI SRE. Exposes your production OpenTelemetry problems, traces, and logs over the Model Context Protocol, plus an AI remediation loop that opens a reviewed GitHub fix PR and verifies in production (reopening on regression). Tools include list_problems, get_problem, query_traces, detect_anomalies, and request_problem_remediation. Human-in-the-loop by default — the merge button stays yours.
Interact with a global network measurement platform.Run network commands from any point in the world