14 skills found
53AI / 53AIHub53AI Hub is an open-source AI portal, which enables you to quickly build a operational-level AI portal to launch and operate AI agents, prompts, and AI tools. It supports seamless integration with development platforms like Coze, Dify, FastGPT, RAGFlow.
jacksteamdev / obsidian-mcp-toolsAdd Obsidian integrations like semantic search and custom Templater prompts to Claude or any MCP client.
rekog-labs / MCP-NestA NestJS module to effortlessly create Model Context Protocol (MCP) servers for exposing AI tools, resources, and prompts.
jonigl / mcp-client-for-ollamaA text-based user interface (TUI) client for interacting with MCP servers using Ollama. Features include agent mode, multi-server, model switching, streaming responses, tool management, human-in-the-loop, thinking mode, model params config, MCP prompts, custom system prompt and saved preferences. Built for developers working with local LLMs.
langfuse / mcp-server-langfuseModel Context Protocol (MCP) Server for Langfuse Prompt Management. This server allows you to access and manage your Langfuse prompts through the Model Context Protocol.
minipuft / claude-promptsMCP prompt template server: hot-reload, thinking frameworks, quality gates
nuxt-modules / mcp-toolkitCreate MCP servers directly in your Nuxt application. Define tools, resources, and prompts with a simple and intuitive API.
danielsobrado / ainovelprompterCreate the prompts you need to write your Novel using AI
wheattoast11 / openrouter-deep-research-mcpA multi-agent research MCP server + mini client adapter - orchestrates a net of async agents or streaming swarm to conduct ensemble consensus-backed research. Each task builds its own indexed pglite database on the fly in web assembly. Includes semantic + hybrid search, SQL execution, semaphores, prompts/resources and more
theognis1002 / mcp-gatewayModel Context Protocol (MCP) Gateway & Registry - Central hub for managing tools, resources, and prompts for MCP-compatible LLMs. Translates REST APIs into MCP, builds virtual MCP servers with security and observability, and bridges multiple transports (stdio, SSE, streamable HTTP).
lalanikarim / comfy-mcp-serverA server using FastMCP framework to generate images based on prompts via a remote Comfy server.
synaptiai / prompt-decoratorsA standardized framework for enhancing how LLMs process and respond to prompts through composable decorators, featuring an official open standard specification and Python reference implementation with MCP server integration.
angrysky56 / advanced-reasoning-mcpAllows AI to perform advanced reasoning, store the reasoning automatically, and can create system prompts or domain knowledge as libraries.
IvanMurzak / MCP-Plugin-dotnet.NET MCP bridge: expose app methods/data as MCP tools, prompts, and resources via an in-app plugin + lightweight server (SignalR; stdio/http).
