Packages
26403 resultsmcp-filesystem-server
mcp-filesystem-server is a Go implementation of an MCP (Model Context Protocol) server that exposes filesystem access to an MCP-capable client (e.g., Claude Desktop) with a configured allowlist of directories.
mcp-server-aws-kb-retrieval
An MCP server that performs retrieval over AWS Knowledge Bases (KB) and returns relevant knowledge-base content to an MCP-capable agent/tooling workflow.
mysql
MySQL is a relational database management system (RDBMS). It provides SQL access to store, query, and manage structured data using a client/server model.
portone-mcp-server
MCP server wrapper for PortOne (portone-mcp-server), exposing PortOne-related functionality to AI agents via the Model Context Protocol.
rabbitmq-mcp-server
rabbitmq-mcp-server is an MCP (Model Context Protocol) server that exposes RabbitMQ capabilities to AI agents, enabling the agent to interact with RabbitMQ resources (e.g., publish/consume/inspect depending on what the server implements).
ragflow-mcp-server
An MCP server package that exposes RagFlow-related capabilities to MCP-compatible AI agents, allowing agents to query or interact with RAG/RagFlow functionality via the MCP protocol.
seahorse-mcp-server
seahorse-mcp-server is an MCP (Model Context Protocol) server package intended to expose Seafile/Seahorse-related functionality to AI agents via MCP tool calls. It acts as an intermediary that provides structured tool interfaces for agent workflows.
shipboss-mcp-server
MCP server package that exposes ShipBoss-related functionality to an AI agent via the Model Context Protocol (MCP).
spacy-server
spacy-server is a service wrapper for spaCy that exposes spaCy NLP capabilities over a network interface (typically as an HTTP API) so other applications can send text and receive NLP annotations.
spring-ai-mcp-server-client
Provides a demo Spring AI MCP (Model Context Protocol) server that exposes simple tool/function-calling (math: sum/multiply) over SSE, and a client component that connects to that MCP server and offers a REST endpoint (/question) to accept user questions and produce model completions using OpenAI.
summary-stack-obsidian-mcp-server
An MCP (Model Context Protocol) server package intended to integrate with Obsidian to provide “summary stack” observation/summary-related functionality to AI agents via MCP tools.
test-awslabs.ec2-mcp-server
A test package (as indicated by its name) providing an MCP server interface for EC2-related capabilities, likely intended for integration testing of “mcp-server” tooling rather than production AWS interaction.
turret_mcp_server
An MCP server (Rust) that controls a physical turret via serial communication, exposing MCP tools to fire, set pan/tilt position, and query bullet count (plus an echo tool).
zed-mcp-server-basic-memory
Provides a Zed Editor context-server integration that connects Zed Assistant to Basic Memory via a MCP server ("basic-memory"). It is configured through Zed settings and optionally selects a Basic Memory project for storing Markdown-based notes.
zed-mcp-server-buildkite
Provides an MCP (Model Context Protocol) integration for Zed to browse and interact with Buildkite CI/CD resources such as pipelines, builds, jobs/logs, and build artifacts using a Buildkite API token configured in Zed.
zim-mcp-server
zim-mcp-server is described as an MCP (Model Context Protocol) server that likely exposes capabilities related to “zim” (a common ZIM file/wiki format). The provided prompt does not include README/repo contents, so the specific tools, endpoints, and behaviors cannot be verified.
acme-todo
A Flask server implementation of the Simple Todo API defined in `acmetodo.yaml`.
Agent Skills Search Server
Search and discover Agent Skills from the skills.sh registry. Powered by HAPI MCP server.
aicastle-school-openai-api-agent-project
[(주)에이아이캐슬](https://aicastle.com)에서 만든 [**OpenAI Agent School** ](https://openai-agent.aicastle.school/)(OpenAI를 활용한 나만의 AI 에이전트 만들기) 강의 자료입니다.
ai-skills
Agent skills collection — **[ppdbxdawj/ai-skills](https://github.com/ppdbxdawj/ai-skills)**