Packages

Provides LangChain.js adapters to integrate Model Context Protocol (MCP) tools into LangChain.js applications, supporting MCP tool usage over stdio and SSE transports via the @modelcontextprotocol/sdk dependency.

An MCP server that integrates an agent workflow with Anki via AnkiConnect (through stdio). It is intended to expose Anki/AnkiConnect operations to MCP-capable clients.

Open Multi-Agent Canvas is an open-source multi-agent chat UI built with Next.js/LangGraph/CopilotKit that lets users manage multiple agents in one conversation and connect a built-in “MCP Agent” to MCP-compatible servers (e.g., via Standard IO or SSE).

MCP server for Oracle WebLogic Server for OCI management, enabling AI agents to provision, configure, manage, and monitor Oracle WebLogic application server deployments on Oracle Cloud Infrastructure — including creating domains, managing clusters, and scaling WebLogic stacks.

MCP server that exposes RhodeCode (Rhodecode/Bitbucket-compatible SCM) functionality as MCP tools so AI agents can interact with repositories/issues/changes through the MCP protocol.

Provides an MCP server that exposes “simple” MySQL connectivity as agent-callable tools (for querying/updating a MySQL database) with configuration supplied by the host environment.

MCP server package intended to expose Splatoon-related functionality (e.g., game data or queries) to AI agents via the Model Context Protocol.

Provides an MCP (Model Context Protocol) server for Spring developers, intended to expose tools that let AI assistants query information about a running Spring application (served over an SSE endpoint on localhost by default).

A template/wrapper MCP server for using AWS services from an AI agent via the Model Context Protocol (MCP). It is intended to expose AWS-related actions/tools to the agent.

An MCP server package intended to provide Zotero-related capabilities to AI agents via the Model Context Protocol, likely allowing tools to read/search/create Zotero items and metadata.

Provides an MCP (Model Context Protocol) server wrapper for Tavily, intended to be used as a Zed context server. It requires a Tavily API key for authentication and delegates retrieval/search capabilities to Tavily via the underlying Tavily MCP implementation.

An MCP server intended to help with billing cost management by exposing functions/tools (via the Model Context Protocol) related to retrieving and analyzing cost/billing information.

ClickHouse Server is a high-performance columnar database system providing SQL query execution over large datasets. It offers client/server connectivity (typically via native TCP and HTTP interfaces), supports clustering/replication features, and is commonly deployed as a self-managed database service.

Provides a FastAPI example server that exposes MCP (Model Context Protocol) tool access over Server-Sent Events (SSE), alongside standard FastAPI web routes (e.g., /docs, /redoc).

k8s-mcp-server is an MCP (Model Context Protocol) server that exposes Kubernetes-related capabilities to AI agents via MCP tools, enabling agents to inspect and operate on cluster resources through a standardized interface.

Provides an MCP server implementation (based on mcp-go) that currently exposes weather-related capabilities backed by the HeFeng (和风天气) API. Includes a custom JSON unmarshal approach to transfer annotation tags into each result field's description to improve AI interpretability of responses.

MCP server that exposes Attio (CRM/contacts) functionality to an AI agent via the Model Context Protocol, enabling the agent to read/update Attio data through MCP tools.

An MCP server implementation intended to integrate with AWS Lambda, allowing an MCP-capable agent to invoke or interact with AWS Lambda-related capabilities through MCP tools.

MCP server for interacting with GitLab resources/actions via the Model Context Protocol. (Specific tool names, endpoints, and behaviors are not provided in the prompt, so details cannot be confirmed.)

An MCP server (weather) that likely exposes weather-related tools/data to AI agents via the Model Context Protocol. The repository name suggests it wraps a weather provider API and offers agent-invokable functions, but no manifest/README contents were provided here to confirm exact tools, parameters, endpoints, or provider used.