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⇱ Proof-of-Concept Examples for Multi-Component Processes (Model Context Protocol) | Glama

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Proof-of-Concept Examples for Multi-Component Processes (Model Context Protocol)

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  • Why this server?

    A simple server that echoes messages back, useful for basic client-server interaction testing in MCP.

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    A simple server implementing the Model Context Protocol (MCP) that echoes messages back, designed for testing MCP clients.
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    MIT

  • Why this server?

    Provides greeting tools, resources, and prompts, demonstrating client-server interaction using TypeScript, which serves as a simple PoC.

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    A Model Context Protocol server that provides greeting tools, resources, and prompts, demonstrating client-server interaction using TypeScript.
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  • Why this server?

    A stateless MCP server that implements a simple echo functionality with resource, tool, and prompt components, enabling LLMs to echo back messages through standardized MCP interactions.

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    A stateless Model Context Protocol server that implements a simple echo functionality with resource, tool, and prompt components, enabling LLMs to echo back messages through standardized MCP interactions.
    Last updated
    1

  • Why this server?

    A template for building Model Context Protocol servers that allow AI assistants to interact with custom data and services through queryable resources and specialized tools; useful for building PoCs.

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    A template for building Model Context Protocol servers that allow AI assistants to interact with custom data and services through queryable resources and specialized tools.
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  • Why this server?

    A beginner-friendly MCP-inspired JSON-RPC server that provides a basic capabilities handshake and echo function as simple examples.

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    A beginner-friendly MCP-inspired JSON-RPC server built with Node.js, offering basic client-server interaction through an 'initialize' capabilities handshake and an 'echo' function.
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    MIT

  • Why this server?

    A foundation for creating custom Model Context Protocol servers that can integrate with AI systems, providing a simple BMI calculator tool as an example implementation.

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    A foundation for creating custom Model Context Protocol servers that can integrate with AI systems, providing a simple BMI calculator tool as an example implementation.
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  • Why this server?

    A TypeScript-based template for developing Model Context Protocol servers with features like dependency injection and service-based architecture.

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    A TypeScript-based template for developing Model Context Protocol servers with features like dependency injection and service-based architecture, facilitating the creation and integration of custom data processing tools.
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    ISC

  • Why this server?

    A template to allow AI systems to query data and manipulate. A solid boilerplate and reference.

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    This server provides a minimal template for creating AI assistant tools using the ModelContextProtocol, featuring a simple 'hello world' tool example and development setups for building custom MCP tools.
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    The Unlicense