MCP Servers for YAML

YAML (YAML Ain't Markup Language) is a human-readable data serialization standard that can be used in conjunction with all programming languages and is often used for configuration files.

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  • Why this server?

    Leverages YAML for flexible configuration through configuration files, allowing customization of the time server's behavior

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    A Python microservice that provides utilities for retrieving current times and converting between different global timezones with robust validation.
    Last updated -
    Python
    MIT License
  • Why this server?

    Allows defining prompt templates in YAML format with structured metadata, arguments, and message content.

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    A server based on Model Context Protocol that provides predefined prompt templates for tasks like code review and API documentation generation, enabling more efficient workflows in Cursor/Windsurf editors.
    Last updated -
    10
    5
    JavaScript
    MIT License
  • Why this server?

    Supports loading and processing OpenAPI specifications in YAML format.

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    A Model Context Protocol server that loads multiple OpenAPI specifications and exposes them to LLM-powered IDE integrations, enabling AI to understand and work with your APIs directly in development tools like Cursor.
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    7
    292
    7
    TypeScript
    MIT License
  • Why this server?

    Enables working with document frontmatter (YAML metadata) for documentation files

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    A Model Context Protocol implementation that enables AI assistants to interact with markdown documentation files, providing capabilities for document management, metadata handling, search, and documentation health analysis.
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    14
    346
    11
    TypeScript
    MIT License
    • Apple
    • Linux
  • Why this server?

    Uses YAML configuration files to manage service configurations and determine which third-party enrichment services are supported for observable lookups

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    A Model Context Protocol server that enables users to perform third-party enrichment lookups for security observables (IP addresses, domains, URLs, emails) through services like VirusTotal, Shodan, and others.
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    1
    Python
    • Apple
  • Why this server?

    Offers extraction and formatting of key-value pairs into YAML format with type safety and validation.

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    Extracts structured key-value pairs from arbitrary, noisy, or unstructured text using LLMs and provides output in multiple formats (JSON, YAML, TOML) with type safety.
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    Python
    GPL 3.0
  • Why this server?

    Supports YAML as an output format for viewing OpenAPI specifications

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    MCP server providing token-efficient access to OpenAPI/Swagger specs via MCP Resources for client-side exploration.
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    35
    5
    TypeScript
    MIT License
  • Why this server?

    Supports parsing and handling YAML Swagger definition files to extract API information and generate compatible code.

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    An MCP server that connects to a Swagger specification and helps an AI to build all the required models to generate a MCP server for that service.
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    19
    TypeScript
    MIT License
    • Linux
    • Apple
  • Why this server?

    Uses YAML for configuration files including hosts, groups, and defaults, allowing structured definition of network devices and their properties.

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    A FastMCP server that provides network automation tools by exposing Nornir and NAPALM operations as MCP tools, allowing users to manage and interact with network devices through compatible MCP clients.
    Last updated -
    Python
    MIT License
  • Why this server?

    Uses YAML configuration files to define custom cognitive frameworks and memory structures for the model.

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    FEGIS is a Model Context Protocol server that gives LLMs structured, persistent and portable memory through customizable cognitive tools defined in schema.
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    12
    Python
    MIT License
    • Apple
    • Linux
  • Why this server?

    The MCP server uses YAML configuration files for configuring txtai components during knowledge base building

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    An MCP server aimed to be portable, local, easy and convenient to support semantic/graph based retrieval of txtai "all in one" embeddings database. Any txtai embeddings db in tar.gz form can be loaded
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    24
    Python
    MIT License
    • Linux
    • Apple
  • Why this server?

    Uses YAML for configuration of LLM environments, including resources, prompts, tools, and global settings.

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    A server for the Machine Chat Protocol (MCP) that provides a YAML-based configuration system for LLM applications, allowing users to define resources, tools, and prompts without writing code.
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    5
    Python
    MIT License
  • Why this server?

    Supports token storage in YAML format (default), allowing credentials and authentication data to be saved and retrieved in YAML files.

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    A server that implements the Model Context Protocol for Schwab API, allowing access to account information, positions, stock quotes, and order/transaction history designed for integration with Large Language Models.
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    2
    Python
    MIT License
  • Why this server?

    Supports OpenAPI specifications defined in YAML format

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    This tool creates a Model Context Protocol (MCP) server that acts as a proxy for any API that has an OpenAPI v3.1 specification. This allows you to use Claude Desktop to easily interact with both local and remote server APIs.
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    548
    514
    JavaScript
    MIT License
    • Apple
    • Linux
  • Why this server?

    Provides a configuration format for defining MCP tool mappings to HTTP APIs, allowing users to specify server settings and tool definitions through structured YAML files.

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    A server that translates Model Context Protocol (MCP) tool callings to traditional HTTP API requests, allowing existing HTTP APIs to be integrated into MCP territory through configurable mappings.
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    Python
    Apache 2.0
  • Why this server?

    Uses YAML configuration files to define tools and commands to be executed by the MCP server.

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    A Message Control Protocol server that runs PHP tests and static analysis tools automatically for developers, providing results directly to AI assistants in Cursor editor.
    Last updated -
    1
    TypeScript
    MIT License
  • Why this server?

    Provides a template system for defining and managing prompt templates without coding knowledge

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    Serves prompt templates through a standardized protocol for transforming basic user queries into optimized prompts for AI systems.
    Last updated -
    Python
    Apache 2.0
  • Why this server?

    Supports YAML format for the server's configuration system, allowing users to provide API credentials and other settings.

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    An implementation of the Model Context Protocol that provides AI models with standardized access to Kaltura's media management capabilities including uploading, retrieving metadata, searching, and managing categories and permissions.
    Last updated -
    1
    Python
    MIT License
    • Linux
    • Apple
  • Why this server?

    Used for the workspace configuration with pnpm-workspace.yaml mentioned in the project structure.

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    A Model Context Protocol implementation for managing and serving AI prompts with a TypeScript-based architecture in a monorepo structure.
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    28,526,583
    2
    TypeScript
  • Why this server?

    Supports YAML as a configuration format for defining server settings, connection parameters, and authentication details.

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    A VMware ESXi/vCenter management server based on MCP (Machine Control Protocol), providing simple REST API interfaces for virtual machine management.
    Last updated -
    3
    Python
    MIT License
  • Why this server?

    Supports OpenAPI specs in YAML format

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    An MCP server that exposes HTTP methods defined in an OpenAPI specification as tools, enabling interaction with APIs via the Model Context Protocol.
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    2
    Python
    MIT License
  • Why this server?

    Supports working with Semgrep rules defined in YAML format, allowing for rule creation and management.

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    Enables integration of Semgrep in development environments via the MCP protocol, supporting static code analysis, rule management, and scan result operations.
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    1
    JavaScript
    MIT License
  • Why this server?

    Supports returning query results in YAML format when interacting with the Cube semantic layers.

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    MCP Server for interacting with Cube semantic layers that provides tools for querying and describing data from Cube deployments.
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    2
    Python
    GPL 3.0
  • Why this server?

    Supports parsing OpenAPI specifications in YAML format, enabling the dynamic conversion of YAML-defined APIs into MCP tools.

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    A dynamic proxy that converts OpenAPI Specification (OAS) endpoints into Message Communication Protocol (MCP) tools, allowing AI agents to use existing REST APIs as if they were native MCP tools without manual implementation.
    Last updated -
    9
    TypeScript
  • Why this server?

    Supports structured data formatting for project management information, mentioned as an alternative format for organizing project data.

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    A bridge between MCP Host applications and mem0 cloud service, specialized for project management with capabilities to store, retrieve, and search project information within a structured format.
    Last updated -
    6
    Python
  • Why this server?

    Includes specialized loaders for YAML files, enabling proper chunking and indexing of YAML configuration documents

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    An Agent Framework Documentation server that enables AI agents to efficiently retrieve information from documentation databases using hybrid semantic and keyword search for seamless agent integration.
    Last updated -
    Python
  • Why this server?

    Uses YAML for defining extension context information, providing detailed knowledge about PostgreSQL extensions like PostGIS and pgvector.

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    PG-MCP is an HTTP server implementation that enables AI systems to interact with PostgreSQL databases via MCP, providing tools for querying, connecting to multiple databases, and exploring schema resources. The system enriches context by extracting table/column description from database catalogs.
    Last updated -
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    • Linux
    • Apple
  • Why this server?

    Supports parsing and serialization of YAML for configuration and data exchange.

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    A bridge that enables AI language models to publish content to the Nostr network by implementing the Model Context Protocol (MCP).
    Last updated -
    TypeScript
  • Why this server?

    Uses YAML files for configuring agents and tasks without writing custom code, supporting variable replacement in templates.

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    A lightweight Python-based server designed to run, manage and create CrewAI workflows using the Model Context Protocol for communicating with LLMs and tools like Claude Desktop or Cursor IDE.
    Last updated -
    1
    Python
  • Why this server?

    Processes OpenAPI schema files in YAML format and presents schema information in YAML format for better LLM comprehension.

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    A MCP server that exposes OpenAPI schema information to LLMs like Claude. This server allows an LLM to explore and understand large OpenAPI schemas through a set of specialized tools, without needing to load the whole schema into the context
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    37
    5
    JavaScript
    • Apple
    • Linux
  • Why this server?

    The server uses YAML for Smithery configuration, defining required parameters and integration with Claude Desktop.

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    The MCP Trader Server conducts comprehensive technical analysis on stocks, offering insights into trends, momentum indicators, volatility metrics, and volume analysis to support stock trading decisions.
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    29
    Python
    • Apple
  • Why this server?

    Handles compiled pipeline definitions that are stored in Google Cloud Storage and used to trigger Vertex AI training jobs.