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⇱ Proof-of-concept examples for Multi-Component Processes (MCPs) | Glama

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Proof-of-concept examples for Multi-Component Processes (MCPs)

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  • Why this server?

    Demonstrates common security vulnerabilities in MCPs like SQL injection and arbitrary code execution, making it an interesting (and important) proof of concept.

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    A deliberately vulnerable MCP server that allows clients to interact with a database for educational purposes, demonstrating security vulnerabilities including SQL injection, arbitrary code execution, and sensitive data exposure.
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    4

  • Why this server?

    Illustrates how AI assistants can aid in code architecture, screenshot analysis, and code review within a development environment.

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    A Cursor-compatible toolkit that provides intelligent coding assistance through custom AI tools for code architecture planning, screenshot analysis, code review, and file reading capabilities.
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    MIT

  • Why this server?

    Demonstrates how AI assistants can manipulate Microsoft Word documents, showcasing document generation and editing capabilities.

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    A Model Context Protocol server that enables AI assistants to create, read, edit, and format Microsoft Word documents through standardized tools and resources.
    Last updated
    4
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    2,057
    MIT

  • Why this server?

    Enables Claude to interact with Ethereum nodes, allowing users to check ENS token balances, view smart contract code, and decode transactions through natural language – a complex but interesting use case.

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    Enables Claude to interact with Ethereum nodes, allowing users to check ENS token balances, view smart contract code, and decode transactions through natural language.
    Last updated
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    MIT

  • Why this server?

    Demonstrates Retrieval Augmented Generation (RAG) implementation, a popular method of improving LLM response quality.

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    An MCP server implementation that provides tools for retrieving and processing documentation through vector search, enabling AI assistants to augment their responses with relevant documentation context
    Last updated
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    265
    MIT

  • Why this server?

    Shows how LLMs can be used to generate visualizations, specifically mermaid.js diagrams, programmatically.

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    A server that implements the Model Context Protocol (MCP), providing an interface for LLM applications to generate mermaid.js visualizations and diagrams.
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  • Why this server?

    Allows for safe execution of Python code, which is a key function for many AI-powered applications.

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    An interactive Python code execution tool that allows users and LLMs to safely execute Python code and install packages in isolated Docker containers.
    Last updated
    39
    Apache 2.0

  • Why this server?

    Enables managing GitHub notifications using natural language. Demonstrates practical application of LLMs to a common task.

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    An MCP server that enables AI assistants like Claude to help users manage their GitHub notifications through natural language commands.
    Last updated
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    MIT

  • Why this server?

    Enables web browser automation via LLMs, opening up many possibilities for web scraping and interaction.

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    A Model Context Protocol server that enables LLMs to interact with web pages, take screenshots, generate test code, scrape web pages, and execute JavaScript in a real browser environment.
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    MIT