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MCP Servers
One stop shop - Local-first RAG stack with intelligent polyglot-code/docs, remote code execution, local llama enrichment, progressive disclosure tools, mcp server, sandboxed security.
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A Model Context Protocol (MCP) server that enables AI assistants to interact with Vikunja task management instances.
A C library for embedding Apple Intelligence on-device Foundation models in any programming language or application with full support for native tool calling and MCP.
A modern desktop application for managing Model Context Protocol (MCP) servers across multiple AI agents
Pipelines you own. Write them, wire them, or draw them.
Documentation • Prompt Decorators Specification
A powerful Python recreation of Claude Code with enhanced real-time visualization, cost management, and Model Context Protocol (MCP) server capabilities.
TLDR: Use Claude to control or ask questions about your Altium project. This is a Model Context Protocol (MCP) server that provides an interface to interact with Altium Designer through Python.
A Model Context Protocol server implementation for interacting with Salesforce through its REST API using jsforce.
The connects your Schwab account to LLM-based applications (like Claude Desktop or other MCP clients), allowing them to retrieve market data, check account status, and (optionally) place orders under...
Agent Skills
Running 5 AI agents in parallel is easy. Making them not break each other's code is the hard part.
AI agents should not give project advice from vibes.
Personal memory across agents
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provide for AI agents, helping them build complete automated document workflows. Before large-model reasoning begins, ComPDF Skills can handle document parsing, OCR, data extraction, and structured...
Open-source paid media agent for Google Ads, Meta Ads, Reddit, LinkedIn, X, and OpenAI Ads: analysis, reports, and reviewed changes, built on Deep Agents.
RPC messaging library for the VS Code extension platform
Agent skills for Obsidian. Teach your agent to use Obsidian CLI and open formats including Markdown, Bases, JSON Canvas.
A curated list of high-signal resources for (formerly , originally ): frameworks, skills, tooling, deployments, and real-world use cases.
Agent Skill: Check academic paper citations for format, queryability, thematic relevance, and semantic accuracy.
Comprehensive best practices for building applications with the TanStack ecosystem. These skills provide AI coding agents with structured guidelines for TanStack Query, TanStack Router, and TanStack...
The real-time engine for AI agents on the JVM. Tokens flow from the LLM runtime to the client through a broadcaster you can filter, gate, and observe — over WebSocket, SSE, long-polling, or gRPC, and...