Composio MCP Gateway

Composio is a developer platform for orchestrating just-in-time tool calls, secure delegated authentication, sandboxed execution environments, and parallel execution across integrations with 1,000+ applications. It is designed to let applications and AI agents invoke external tools safely and at scale.

Docker MCP Gateway is an MCP gateway and Docker CLI plugin for configuring, running, and connecting MCP servers to AI clients. It routes requests between clients and MCP servers running in isolated Docker containers through a unified interface, allowing tools, resources, and prompts from multiple servers to be managed through one gateway endpoint. Servers are grouped into profiles that can be connected to clients, exported, shared through OCI registries, and configured with tool allowlists. The gateway supports stdio and streaming transports, dynamic tool and resource discovery, server lifecycle management, logging and call tracing, secrets management, and OAuth flows. It can run with Docker Desktop or independently, and the repository is licensed under the MIT License.

Model Context Protocol (MCP) is an open, standardized protocol layer for connecting large language models and AI agents with external data sources, hosted infrastructure tools, and other contextual data. It defines formats, metadata, protocol schemas, and APIs for sharing information and tools, attaching, referencing, and validating context such as documents, embeddings, and provenance, while supporting scoped authentication and permissions. MCP translates JSON requests from an agent into calls to service APIs, including CRM, container-management, and GKE capabilities, and can provide design-system context and related tools for generating consistent applications. The official project publishes its specification, documentation, and protocol schema; the schema is defined first in TypeScript and also provided as JSON Schema for broader compatibility. The protocol was created by David Soria Parra and Justin Spahr-Summers, is hosted at modelcontextprotocol.io, and is licensed under the MIT License.

An MCP server from Zapier that connects authenticated applications so compatible AI tools can access and use them through a single integration layer. It supports clients including Cursor, Claude Code, and Codex.

mcptoon is a cross-agent Model Context Protocol (MCP) management CLI that gives agents access to configured MCP servers through ordinary command-line calls, rather than loading large tool catalogs into their context. It discovers existing server configurations, maintains ~/.mcptoon/config.json as a single source of truth, synchronizes that configuration across agents, serves a tool-name manifest on demand, and composes a single-entry proxy for MCP access. Tools are launched when invoked, and the project supports native MCP JSON, structured output, optional TOON compression, and envelope passthrough; the videos also describe output checks for prompt injection and credential leaks. The project is distributed as a Python package for Python 3.10+ and is described as using only the standard library, with no third-party dependencies. Its repository documents compatibility with agents including Claude Code, Cursor, and Codex, and provides commands such as `quickstart`, `demo`, and `call`. It is free and open source under the Apache-2.0 license.