AgentOps

Integrates Ollama's local LLM models with MCP-compatible applications, enabling on-premise AI processing and custom model deployment while maintaining data control.

Integrates with Penpot's API to enable project browsing, file retrieval, object searching, and visual component export with automatic screenshot generation for converting UI designs into functional code.

Experience seamless AI-powered 3D modeling by connecting Blender with Claude AI via the Model Context Protocol. BlenderMCP enables two-way communication, allowing you to create, modify, and inspect 3D scenes directly through AI prompts. Control objects, materials, lighting, and execute Python code in Blender effortlessly. Access assets from Poly Haven and generate AI-driven models using Hyper3D Rodin. This integration enhances creative workflows by combining Blender’s robust tools with Claude’s intelligent guidance, making 3D content creation faster, interactive, and more intuitive. Perfect for artists and developers seeking AI-assisted 3D design within Blender’s environment.

Integrates with Ollama for local large language model inference, enabling text generation and model management without relying on cloud APIs.

MoviePy-based video editing server that provides comprehensive video and audio processing capabilities including trimming, merging, resizing, effects, format conversion, YouTube downloading, and text/image overlays through an in-memory object store for chaining operations efficiently.

Bridges local llama-server instances with MCP clients, providing chat interface, health monitoring, and configurable generation parameters for integrating llama.cpp models with desktop applications

Integrates with n8n workflow automation platform to enable natural language workflow creation, management, and deployment with encrypted credential handling, role-based access control, and automated testing capabilities.

Provides a structured thought process management system for maintaining explicit reasoning steps, policy verification, and tool output analysis through persistent memory storage

Extracts text from videos and audio files across platforms like YouTube, Bilibili, TikTok, Instagram, Twitter/X, Facebook, and Vimeo using Whisper speech recognition for transcription, content analysis, and accessibility improvements.

Integrates with LlamaIndexTS to provide access to various LLM providers for code generation, documentation writing, and question answering tasks

Bridges local llama-server instances with MCP clients, providing chat interface, health monitoring, and configurable generation parameters for integrating llama.cpp models with desktop applications

Provides dual-cycle metacognitive reasoning framework that detects when autonomous agents get stuck in repetitive behaviors through statistical anomaly detection and semantic analysis, then automatically diagnoses failure causes and generates recovery strategies using case-based learning.

Integrates with Datadog's API to enable incident management, including listing and retrieving incident information for system monitoring and observability workflows.

Integrates with 17TRACK API to provide global package tracking across multiple carriers with fuzzy search for carrier identification and delivery status monitoring for e-commerce and customer service workflows.

Aggregates multiple MCP servers into a single unified interface, reducing system resource usage and simplifying configuration management with dynamic reloading and tag-based filtering capabilities.

Lightweight server that captures and manages stdout logs from multiple processes through a named pipe system, maintaining a 100-entry log history and providing robust querying and filtering capabilities for debugging and real-time monitoring.

Provides a bridge to SQL databases (MSSQL, MySQL, PostgreSQL) for executing queries, exploring schemas, monitoring performance, and generating reports with features like connection pooling and transaction management.

Monitors ClojureScript builds in real-time, providing detailed status information including compilation status, warnings, errors, and file-specific details for verifying build success after code changes.

Provides a bridge to Kubernetes multi-cluster environments for managing distributed resources through kubectl commands, service account connections, and seamless cross-cluster operations without switching contexts.

Provides a bridge to Kubernetes multi-cluster environments for managing distributed resources through kubectl commands, service account connections, and seamless cross-cluster operations without switching contexts.