"Creating an Automation System Using n8n" matching MCP connectors:
Matching Connector Tools:
Read-only triage for n8n, MCP, webhook, and AI agent workflow production failures.
Third-party signed reads of how an AI agent behaved: drift, vows, and the town it works in.
Pay-per-call live telemetry, environmental metrics, transit state vectors, blockchain reads, network/security lookups and real-time utilities for AI agents using x402 and MCP.
Connect engineering metrics, DORA performance, and deploy risk scoring to any AI assistant. Score PRs for deployment risk using a 36-signal model, query team health, incidents, coverage, and more.
Cross-OEM industrial machine intelligence: identity, normalization, automation, attestation.
Furgonetka MCP Server is an extension for LLMs (such as Claude) that integrates AI assistants with Poland's most popular courier brokerage platform. The server enables models to interact directly with services from various couriers (including InPost, DPD, DHL, UPS, and Poczta Polska) through a single, unified interface. With this integration, your AI stops just "writing about logistics" and starts actually managing it.
An MCP server giving access to Grafana dashboards, data and more.
An AI that doesn't just answer questions about your IoT deployment — it changes it. Kilo is the IoT platform where AI controls real-world devices: point Claude, ChatGPT, Cursor or Codex at a live commercial deployment and read live telemetry, provision LoRaWAN and MQTT hardware, deploy automation rules, work the alarm queue, and send commands to physical equipment. Hosted and OAuth-secured — no API key to mint, and your assistant is bounded by your own permissions. https://kiloiot.io
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.
High-performance array aggregation and metrics clearing engine. Cleans and bucket-groups noisy metric streams via an $O(N)$ single-pass data sweep. Operates natively with the pay-per-call x402 micropayment framework.
Enable secure connectivity between Sentry issues and debugging data, and LLM clients, using a Model Context Protocol (MCP) server.
Know when your n8n workflows, URLs, and AI apps break, before your customers do.
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.
A paid remote MCP for AI SDK benchmark dashboard, built to return verdicts, receipts, usage logs, an
Paid remote MCP for agent design system guard MCP, structured receipts, audit logs, and reviewer-rea
System self-awareness, health monitoring, and autonomous self-repair
Debug production issues using Shipbook logs and Loglytics error insights.
HttpStatus MCP Server — 24 AI-callable tools for API testing, mocking, monitoring, and security. Create and manage API mocks, run chaos engineering rules, validate OpenAPI specs, scan URLs for security issues, check SSL certificates, debug CORS, analyze redirect chains, decode JWTs, inspect HAR files, trace distributed requests, capture webhooks, build automation workflows (including Postman import), and set up uptime monitors — all from your AI assistant.
The Buildkite MCP server exposes Buildkite product data (pipelines, builds, jobs, and test data) to AI tools, editors, and agents through the Model Context Protocol. It provides capabilities including pipeline creation and management, build monitoring with specialized tools like 'wait_for_build', efficient log querying using Apache Parquet conversion and caching, and OAuth-based authentication for both read-write and read-only access to Buildkite's REST API.