how-to-fully-utilize-docket-application-or-platform MCP servers

"how-to-fully-utilize-docket-application-or-platform" matching MCP servers:

• How-To-Cook

  xiaobenyang-com

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  quality

  An AI recipe recommendation server based on the MCP protocol, providing functions such as recipe query, classification filtering, intelligent dietary planning, and daily menu recommendation.

  Last updated a month ago

  5

  1

  Apache 2.0
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  Open Targets Platform MCPofficial

  opentargets

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  Enables AI assistants to interact with the Open Targets Platform API to search and retrieve comprehensive data about target-disease associations, drugs, genes, and drug discovery information through GraphQL queries.

  Last updated 13 days ago

  19

  Apache 2.0

• Cross-Platform Filesystem MCP

  awaybreaktoday

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  Enables comprehensive filesystem operations across Linux, macOS, and Windows with platform-aware command execution, secure path restrictions, and intelligent adaptations for file search, directory management, and shell commands specific to each operating system.

  Last updated 5 months ago

  13

  MIT

• Skill-to-MCP

  biocontext-ai

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  Converts AI Skills (following Claude Skills format) into MCP server resources, enabling LLM applications to discover, access, and utilize self-contained skill directories through the Model Context Protocol. Provides tools to list available skills, retrieve skill details and content, and read supporting files with security protections.

  Last updated 3 months ago

  3

  13

  Apache 2.0

• Reservation Platform MCP

  pak3430

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  security

  F

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  Enables unified management of reservations across multiple Korean platforms (Naver, Airbnb, SpaceCloud, Yanolja, Kakao) with features for duplicate booking prevention, revenue tracking, customer management, and automated messaging through iCalendar integration.

  Last updated a month ago

• Swagger to MCP

  suhailtajshaik

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  Automatically converts Swagger/OpenAPI specifications into dynamic MCP tools, enabling interaction with any REST API through natural language by loading specs from local files or URLs.

  Last updated 2 months ago

  MIT