MCP Servers

A MCP server that allows one to examine image metadata like EXIF, XMP, JFIF and GPS. This provides foundation for LLM-powered search and analysis of photo librares and image collections.

A MCP server for creating GIFs from your videos.

A Prometheus Model Context Protocol Server.

Debug your Container and Kubernetes workloads with an AI interface powered by eBPF.

Provides comprehensive integration with your [VictoriaMetrics instance APIs](https://docs.victoriametrics.com/victoriametrics/url-examples/) and [documentation](https://docs.victoriametrics.com/) for monitoring, observability, and debugging tasks related to your VictoriaMetrics instances

An MCP server that allows querying Loki logs through the Grafana API.

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.（support CPU、Memory、Disk、Network、Host、Process）

Enhance AI-generated code quality through intelligent, prompt-based analysis across 10 critical dimensions from complexity to security vulnerabilities

Search dashboards, investigate incidents and query datasources in your Grafana instance

Meta Ads automation that just works. Trusted by 10,000+ businesses to analyze performance, test creatives, optimize spend, and scale results — simply and reliably.

A suite of marketing tools from Open Strategy Partners including writing style, editing codes, and product marketing value map creation.

Geospatial tools for AI agents: geocoding, routing, elevation, spatial analysis, and file I/O (Shapefile, GeoJSON, GeoPackage)

Geocoding MCP server for nominatim, ArcGIS, Bing

Access the time in any timezone and get the current local time

An OpenStreetMap MCP server with location-based services and geospatial data.

Look up IP address geolocation, network information, detect proxies and VPNs, and find abuse contact details using IPLocate.io

Deliberative consensus engine enabling multi-round debate between AI models with structured voting, convergence detection, and persistent decision graph memory.

An MCP server that enables cross-LLM communication and memory sharing, allowing different AI models to collaborate and share context across conversations.

An MCP server that stores and retrieves memories from multiple LLMs using MongoDB. Provides tools for saving, retrieving, adding, and clearing conversation memories with timestamps and LLM identification.

Memory manager for AI apps and Agents using various graph and vector stores and allowing ingestion from 30+ data sources