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"Understanding and Using JSON" matching MCP servers:

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    A FastMCP server that turns JSON data into Plotly figures, deployable as an isolated service on Modal. Data goes in as JSON; a validated Plotly figure (JSON) or a rendered PNG comes back over the Model Context Protocol.
    4
    1
    MIT
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    An MCP server implementing AI-user confirmation protocols, providing tools for LLMs to seek user confirmation when uncertain through yes/no questions, action confirmations, intent clarification, understanding verification, and satisfaction ratings.
    8
    11
    MIT
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    quality
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    A lightweight server implementation that exposes Python functions as discoverable tools via HTTP using the Machine-to-Machine Communication Protocol (MCP). Enables remote execution of Python functions through a JSON-RPC interface with async support and type safety.
    4
    MIT
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    An intelligent codebase processing server that provides agentic RAG capabilities for code repositories, enabling semantic search and contextual understanding through self-evaluating retrieval loops.
    2
    MIT
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    A boilerplate project for quickly developing Model Context Protocol (MCP) servers using TypeScript SDK, with example implementations of tools (calculator, greeting) and resources (server info).
    270
    MIT
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    A lightweight TypeScript-based MCP server that demonstrates how to build custom MCP tools by implementing a simple addition calculator. Serves as a starting point for building MCP-compatible tools.
    1,347
    MIT
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    quality
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    A production-ready foundation template for building Model Context Protocol (MCP) servers with FastAPI, featuring modular tools, comprehensive testing, and OpenShift deployment configurations. Includes automated transformation scripts to create custom domain-specific MCP servers.
    65
    Apache 2.0
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    A server that enables AI assistants like Claude to safely run Python code and access websites, processing data for better AI understanding while providing helpful error messages.
    3
    GPL 3.0
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    A Python template for building Model Context Protocol (MCP) servers that expose tools via JSON-RPC, enabling secure and scalable context and tool invocation for language models.
    MIT
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    A boilerplate project for quickly developing Model Context Protocol (MCP) servers using TypeScript SDK, with example implementations of calculator and greeting tools plus resource management capabilities.
    270
    MIT
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    Runs a language server and provides tools for communicating with it. Language servers excel at tasks that LLMs often struggle with, such as precisely understanding types, understanding relationships, and providing accurate symbol references.
    1,577
    BSD 3-Clause
  • F
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    A boilerplate project for quickly developing Model Context Protocol (MCP) servers using TypeScript SDK, with examples of tools (calculator, greeting) and resources (server info).
  • F
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    quality
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    A boilerplate project for quickly developing Model Context Protocol servers using TypeScript SDK, with example implementations of calculator tools, greeting functionality, and resource management.
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    maintenance
    Enables interactive data analysis using a real IPython kernel with session management, supporting CSV/Excel/JSON loading, code execution, and variable monitoring.
    159