SuzieQ MCP Server
This project provides a Model Context Protocol (MCP) server that allows language models and other MCP clients to interact with a SuzieQ network observability instance via its REST API
This project provides a Model Context Protocol (MCP) server that allows language models and other MCP clients to interact with a SuzieQ network observability instance via its REST API
Connect to your Mixpanel data. Query events, retention, and funnel data from Mixpanel analytics.
Integration with Timeplus, a database for streaming data, such as Apache Kafka/Pulsar
A Model Context Protocol server that provides LLMs with real-time network traffic analysis capabilities, enabling tasks like threat hunting, network diagnostics, and anomaly detection through
A Model Context Protocol (MCP) server implementation that provides EMQX MQTT broker interaction.
A Model Context Protocol server that provides LLM Agents with a comprehensive toolset for IP geolocation, network diagnostics, system monitoring, cryptographic operations, and QR code generation
for tracing and monitoring
The MCP server provides an interface to the Datadog API, enabling seamless management of incidents, monitoring, logs, dashboards, metrics, traces, and hosts. Its extensible design allows easy
Enables managing Jenkins operations like listing jobs, triggering builds, and checking build statuses through a configurable MCP server.
An unofficial server that allows AI assistants to access Fathom Analytics data, enabling users to retrieve account information, site statistics, events, aggregated reports, and real-time visitor
Get information about the current operating environment
Enables mapping JavaScript error stack traces back to original source code, extracting context information to help developers locate and fix issues.
A Model Context Protocol server that enables Claude Desktop users to interact directly with PostHog, allowing them to view projects and create annotations through natural language commands
honeycomb-mcp-server
MCP-compatible server that enables AI assistants to interact with Lightdash analytics data, providing tools to list and retrieve projects, spaces, charts, dashboards, and metrics through a
A remote Model Context Protocol server acting as middleware to the Sentry API, allowing AI assistants like Claude to access Sentry data and functionality through natural language interfaces
Provides a standardized way for MCP clients to interact with Apache Airflow's REST API, supporting operations like DAG management and monitoring Airflow system health
Enables AI models to analyze webpage performance using the Google PageSpeed Insights API, providing real-time performance scores and improvement suggestions
Server for interacting with Honeycomb observability data. This server enables LLMs like Claude to directly analyze and query your Honeycomb datasets.
Provides access to Shodan API functionality, enabling AI assistants to query information about internet-connected devices for cybersecurity research and threat intelligence
A server that exposes PagerDuty API functionality to LLMs with structured inputs and outputs, enabling management of incidents, services, teams, and users
A Model Context Protocol server enabling AI assistants to interact with Kong Konnect's API Gateway, providing tools to query analytics data, inspect configurations, and manage control planes through
The Seq MCP Server enables interaction with Seq's API endpoints for logging and monitoring, providing tools for managing signals, events, and alerts with extensive filtering and configuration options
An MCP server that allows users to check if a website is experiencing downtime by querying isitdownrightnow.com, providing status information and details about recent downtime events
A Model Context Protocol server that provides tools to analyze and optimize WebGL games, offering performance insights, memory usage analysis, and template-specific optimization suggestions
Agentic tool that looks for statistical variations in conversation structure and logs unusual events to a SQLite database. Built using the Model Context Protocol (MCP), this system is designed to be
Enables AI assistants to check software end-of-life dates and support status using the endoflife.date API, providing accurate information on software lifecycle, security status, and upgrade
A Model Context Protocol server for querying and analyzing Azure resources at scale using Azure Resource Graph, enabling AI assistants to explore and monitor Azure infrastructure
A server that integrates Locust load testing capabilities with AI-powered development environments, allowing users to run performance tests through natural language commands
This MCP server lets you use Cursor IDE, or any MCP Client enabled agent, to use natural language to accomplish things with CircleCI, e.g: Find the latest failed pipeline on my branch and get
A Model Context Protocol server that enables AI assistants to interact with Jenkins CI/CD servers, providing tools to check build statuses, trigger builds, and retrieve build logs
An MCP server for searching and visualizing SolarWinds Observability logs, allowing users to query log data with filtering options and generate visual representations of log events over time
An interface that allows large language models like Claude to interact with ActivityWatch time tracking data through the Model Context Protocol, enabling queries about application usage, browsing