Connecting Innovators and Empowering the Future of Intelligent Protocols
The Scrapeless Model Context Protocol service acts as an MCP server connector to the Google SERP API, enabling web search within the MCP ecosystem without leaving it.
An MCP server lets AI assistants use the Wolfram Alpha API for real-time access to computational knowledge and data.
Using ffmpeg command line to achieve an MCP server, can be very convenient, through the dialogue to achieve the local video search, tailoring, stitching, playback and other functions.
A system monitoring tool that exposes system metrics via the Model Context Protocol (MCP). This tool allows LLMs to retrieve real-time system information through an MCP-compatible interface.
Provides access to OpenTelemetry traces and metrics through Logfire.
Sentry.io integration for error tracking and performance monitoring.
Raygun API V3 integration for crash reporting and real user monitoring.
Query and interact with kubernetes environments monitored by Metoro.
Seamlessly bring real-time production context—logs, metrics, and traces—into your local environment to auto-fix code faster.
Enhance AI-generated code quality through intelligent, prompt-based analysis across 10 critical dimensions from complexity to security vulnerabilities.
An MCP server that allows querying Loki logs through the Grafana API.
Search dashboards, investigate incidents and query datasources in your Grafana instance.
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