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Guide to Using LangChain Correctly

  • Why this server?

    This server helps developers make better decisions through systematic, iterative refinement of thoughts and designs, integrating with popular AI agents. This could help to refine how Langchain is used.

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    Chain of Draft Server is a powerful AI-driven tool that helps developers make better decisions through systematic, iterative refinement of thoughts and designs. It integrates seamlessly with popular AI agents and provides a structured approach to reasoning, API design, architecture decisions, code r
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    TypeScript
    MIT License
  • Why this server?

    This server assists with the orchestration of new software projects by applying standardized templates and best practices. Useful for structuring a Langchain project.

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    An MCP server that assists with the orchestration of new software projects by applying standardized templates and best practices in design patterns and software architecture.
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    Python
    MIT License
    • Apple
  • Why this server?

    This server uses language servers to precisely understand code, types, relationships, and provide accurate symbol references, which could be helpful for understanding Langchain's code structure.

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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.
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    BSD 3-Clause
    • Apple
    • Linux
  • Why this server?

    A TypeScript implementation of the MCP Agent framework, providing tools for building context-aware agents with advanced workflow management, logging, and execution capabilities. Useful to understand the concept of agents and their use.

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    A TypeScript implementation of the MCP Agent framework, providing tools for building context-aware agents with advanced workflow management, logging, and execution capabilities.
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  • Why this server?

    Provides tools to list, create, update, and manage sources, destinations, and workflows related to unstructured data, which might be useful for handling data in Langchain projects.

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    An MCP server implementation that enables interaction with the Unstructured API, providing tools to list, create, update, and manage sources, destinations, and workflows.
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    • Apple
  • Why this server?

    Provides a TypeScript-based template for developing Model Context Protocol servers with dependency injection and service-based architecture, which could be helpful for building custom tools around Langchain.

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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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  • Why this server?

    Provides a production-ready MCP server built with FastAPI, offering an enhanced tool registry for creating, managing, and documenting AI tools for Large Language Models (LLMs), helpful for deploying and managing Langchain tools.

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    A production-ready MCP server built with FastAPI, providing an enhanced tool registry for creating, managing, and documenting AI tools for Large Language Models (LLMs).
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    Python
  • Why this server?

    Facilitates scalable discovery and execution of OpenAPI endpoints using semantic search and high-performance processing, which may assist in integrating Langchain with various APIs.

  • Why this server?

    An adaptation of the MCP Sequential Thinking Server designed to guide tool usage in problem-solving, recommending MCP tools at each stage. Can help guide users on how to effectively use MCP tools in general.

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    An adaptation of the MCP Sequential Thinking Server designed to guide tool usage in problem-solving. This server helps break down complex problems into manageable steps and provides recommendations for which MCP tools would be most effective at each stage.
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    TypeScript
    MIT License