MCP All

Overview

The mcp-all server is a comprehensive, Spring‑based implementation of the Model Context Protocol (MCP) that bundles together all core MCP capabilities—resources, tools, prompts, and sampling—into a single, ready‑to‑run service. It addresses the common pain point of managing multiple discrete MCP servers or custom integrations by providing a unified platform that developers can deploy and extend with minimal friction. By exposing every MCP feature in one place, mcp-all eliminates the need for separate tooling stacks and reduces operational overhead, making it easier to prototype, test, and ship AI‑enabled applications.

At its core, the server offers a fully fledged REST API that adheres to MCP specifications. It exposes endpoints for retrieving and manipulating resources (such as text, images, or structured data), invoking tool chains that can perform computations or external API calls, managing prompt templates for consistent conversational flows, and sampling strategies to control generation quality. This all‑in‑one approach lets developers focus on business logic rather than boilerplate infrastructure, while still retaining fine‑grained control over each component. The server is built on Spring AI, leveraging its reactive programming model and dependency injection to provide high scalability and easy extensibility.

Key capabilities include:

• Resource Management – Store, query, and update arbitrary data objects, enabling dynamic context sharing across sessions.
• Tool Execution – Register custom tools (e.g., database queries, web scraping) and orchestrate them within a single request pipeline.
• Prompt Templates – Define reusable prompt structures that can be parameterized at runtime, ensuring consistent language model interactions.
• Sampling Configuration – Expose temperature, top‑k, and other generation parameters as part of the MCP payload, allowing fine‑tuned control over output diversity.

Typical use cases span from building intelligent chatbots that need to pull real‑time data, to automating business workflows where AI assistants must interact with internal APIs or databases. In a development pipeline, the server can be integrated into CI/CD workflows to automatically test prompt logic or tool chains before deployment. Its Spring foundation also means it can be embedded within existing microservice architectures, sharing authentication, logging, and monitoring stacks without additional configuration.

What sets mcp-all apart is its “everything‑in‑one” philosophy combined with a clean, declarative configuration style. Developers can drop the server into an existing Spring project, annotate new tool classes, and instantly expose them via MCP. The result is a rapid prototyping environment that scales from single‑user experiments to production‑grade deployments, all while staying fully compliant with MCP standards.