Model Context Protocol server that packages GDAL-style geospatial workflows through Python-native libraries (Rasterio, GeoPandas, PyProj, etc.) to give AI agents catalog discovery, metadata intelligence, and raster/vector processing with built-in reasoning guidance and reference resources.
Next-gen AI memory layer with importance scoring, temporal decay, hierarchical memory, and YMYL prioritization
Curated Claude Fable 5 use cases, tutorials, integrations, demos, and benchmark evidence with source links and multilingual README files.
Never lose a solution twice. Terminal note-taking app for developers. CLI notes, work logs, daily journal, with SQLite FTS search and MCP AI integration.
An ultra-lightweight, sovereign logic execution engine powered by Go. Run APIs, cron schedules, templates, and background tasks on a custom stack-based bytecode virtual machine with nanosecond precision.
The Runtime Where AI Agents Build, Ship, and Evolve. Pulse Editor is a modular, cross-platform, AI-powered productivity platform with federated app collaboration and extensible workflows.
The official C# SDK for Model Context Protocol servers and clients. Maintained in collaboration with Microsoft.
Delegate tasks to Codex and Gemini directly from within Claude Code.
A Kubernetes MCP (Model Control Protocol) server that enables interaction with Kubernetes clusters through MCP tools.
MCP server for agents to explore rust docs, analyze source code, and build with confidence
Feedback widget with screenshots, annotations, and AI triage
A Model Context Protocol (MCP) server that provides seamless integration with OpenProject API v3.
MCP Server with ArcGIS Pro Add-In
An MCP server implementation enabling LLMs to work with new APIs and frameworks
🔒 MCP gateway with a built-in skill library.
This is a MCP designed to manage and interact with mobile devices and simulators.
Headless knowledge base with bidirectional Markdown sync
AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents
Stop configuring your AI stack. Start using it. One command brings a complete pre-wired LLM stack with hundreds of services to explore.
Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com.
A Go framework for building production agent systems with graph workflows, tools, memory, A2A, AG-UI, MCP, evaluation, and observability.
Give your AI agents persistent, collective memory — with deduplicating absorb, supersession lineage, semantic search, and a graph UI. Speaks MCP.
Reverse engineer anything with agents, from app behavior down to native binaries.
Let AI agents investigate and operate infrastructure through declared actions, bounded by policy and host-side checks. Approvals when required, with an audit trail. By Protectorate.