{"id":20188,"date":"2026-02-09T09:34:20","date_gmt":"2026-02-09T08:34:20","guid":{"rendered":"https:\/\/www.dicos.de\/?page_id=20188"},"modified":"2026-03-02T08:19:32","modified_gmt":"2026-03-02T07:19:32","slug":"dicos-mcp-server-for-awx-automation-platform","status":"publish","type":"page","link":"https:\/\/www.dicos.de\/en\/dicos-mcp-server-for-awx-automation-platform\/","title":{"rendered":"DICOS MCP-Server for Awx Automation Platform"},"content":{"rendered":"

[vc_section][vc_row][vc_column width=”5\/6″][vc_empty_space dhsv_emptyspace=”vc-margin-top-medium”][vc_empty_space dhsv_emptyspace=”vc-margin-top-medium”][vc_column_text css=””]<\/p>\n

Controlled automation for AI agents.<\/strong><\/h2>\n

[\/vc_column_text][vc_empty_space][vc_column_text css=””]Model Context Protocol (MCP) describes a standardized approach that enables AI agents to perform deterministic actions in a secure and controlled environment. While AI models are inherently non-deterministic, MCP creates a clear interface between intelligent decision-making and deterministic automation.[\/vc_column_text][vc_empty_space][\/vc_column][vc_column width=”1\/6″][\/vc_column][\/vc_row][vc_row][vc_column width=”5\/6″][dhsv_vc_advantage_list entries=”%5B%7B%22title%22%3A%22How%20MCP%20works%22%2C%22text%22%3A%22Essentially%2C%20MCP%20enables%20an%20AI%20agent%20to%20access%20specific%20tools%20and%20actions.%20The%20agent%20knows%20its%20possible%20functions%2C%20recognizes%20which%20action%20to%20perform%20based%20on%20the%20user’s%20request%2C%20and%20then%20translates%20the%20result%20into%20a%20response%20that%20humans%20can%20understand.%22%7D%2C%7B%22title%22%3A%22Action%20under%20control%22%2C%22text%22%3A%22AI%20agents%20can%20only%20trigger%20previously%20approved%20and%20defined%20workflows%20in%20a%20targeted%20manner.%20Although%20the%20execution%20of%20these%20automation%20workflows%20allows%20operational%20intervention%20in%20the%20infrastructure%2C%20this%20is%20only%20possible%20within%20a%20clearly%20defined%2C%20controlled%20framework.%22%7D%2C%7B%22title%22%3A%22Automation%20meets%20language%22%2C%22text%22%3A%22The%20automation%20platform%20acts%20as%20a%20deterministic%20and%20controlling%20execution%20layer%2C%20while%20MCP%20forms%20the%20bridge%20between%20natural%20language%20and%20technical%20automation.%22%7D%5D”][vc_empty_space dhsv_emptyspace=”vc-margin-top-medium”][vc_empty_space dhsv_emptyspace=”vc-margin-top-medium”][\/vc_column][vc_column width=”1\/6″][\/vc_column][\/vc_row][\/vc_section][vc_section full_width=”stretch_row” dhsv_background_color=”bg_dark”][vc_row][vc_column][vc_empty_space dhsv_emptyspace=”vc-margin-top-medium”][vc_empty_space dhsv_emptyspace=”vc-margin-top-medium”][\/vc_column][\/vc_row][vc_row][vc_column width=”2\/3″][vc_column_text css=””]<\/p>\n

Seamless integration into your AI landscape.<\/strong><\/h2>\n

[\/vc_column_text][vc_empty_space][vc_single_image image=”20301″ img_size=”full” alignment=”center” css=””][vc_empty_space][vc_column_text css=””]The DICOS MCP Server seamlessly integrates the APIs of the AWX Automation Platform into your AI landscape and is fully configurable. The DICOS MCP Server acts as an intermediary and provides the AI agents with the desired automated tools.<\/p>\n

This integration layer can be used to provide both internal platform functions and complete automation workflows themselves.<\/p>\n

For the user, this means that automation services are available directly via a natural language interface. When a user interacts with an AI chatbot, the AI agent can decide which MCP tool to call up based on the request.[\/vc_column_text][vc_empty_space dhsv_emptyspace=”vc-margin-top-medium”][vc_empty_space dhsv_emptyspace=”vc-margin-top-medium”][\/vc_column][vc_column width=”1\/3″][vc_empty_space][\/vc_column][\/vc_row][\/vc_section][vc_section full_width=”stretch_row” dhsv_background_color=”bg_white” dhsv_show_arrow=”nibbelsche”][vc_row][vc_column][vc_row_inner][vc_column_inner width=”5\/6″][dhsv_vc_section_title index=”Practical example: AWX”]<\/p>\n

Via chat to the DNS entry.<\/strong><\/h2>\n

[\/dhsv_vc_section_title][vc_empty_space][vc_column_text css=””]AI helps you solve complex infrastructure tasks. We show how easy this can be in the following example.[\/vc_column_text][vc_empty_space][\/vc_column_inner][vc_column_inner width=”1\/6″][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row][vc_column width=”1\/3″][vc_column_text css=””]<\/p>\n

1<\/h4>\n

[\/vc_column_text][vc_column_text css=””]<\/p>\n

Assignment via chat prompt<\/h4>\n

[\/vc_column_text][vc_column_text css=””]A user asks the AI agent to create a new DNS entry for a specific IP address.[\/vc_column_text][\/vc_column][vc_column width=”1\/3″][vc_column_text css=””]<\/p>\n

2<\/h4>\n

[\/vc_column_text][vc_column_text css=””]<\/p>\n

Execution in AWX<\/h4>\n

[\/vc_column_text][vc_column_text css=””]The AI agent calls up the corresponding MCP tool, which executes the predefined automation with the AWX automation platform.[\/vc_column_text][\/vc_column][vc_column width=”1\/3″][vc_column_text css=””]<\/p>\n

3<\/h4>\n

[\/vc_column_text][vc_column_text css=””]<\/p>\n

Reply via chat<\/h4>\n

[\/vc_column_text][vc_column_text css=””]The AI agent communicates the progress and results to the user in an easy-to-understand manner via chat.[\/vc_column_text][\/vc_column][\/vc_row][vc_row][vc_column width=”5\/6″][vc_empty_space][vc_column_text css=””]This creates a clear separation between dialogue, decision logic, and execution\u2014secure, traceable, and fully automated.[\/vc_column_text][vc_empty_space][vc_row_inner][vc_column_inner width=”1\/6″][\/vc_column_inner][vc_column_inner width=”5\/6″][dhsv_vc_quote text=”Automation is no longer perceived as a technical hurdle, but rather as an intuitive service that offers direct added value.” subline=”Dr. Tobias Bautze, Solution Architect at DICOS”][vc_empty_space dhsv_emptyspace=”vc-margin-top-medium”][vc_empty_space dhsv_emptyspace=”vc-margin-top-medium”][\/vc_column_inner][\/vc_row_inner][\/vc_column][vc_column width=”1\/6″][\/vc_column][\/vc_row][\/vc_section][vc_section full_width=”stretch_row” dhsv_background_color=”bg_dark”][vc_row][vc_column width=”5\/6″][vc_empty_space dhsv_emptyspace=”vc-margin-top-medium”][vc_empty_space dhsv_emptyspace=”vc-margin-top-medium”][vc_column_text css=””]<\/p>\n

Multi-agent architecture<\/strong> with clear tool assignment<\/h2>\n

[\/vc_column_text][vc_empty_space][vc_column_text css=””]The DICOS MCP Server enables multi-agent operation with fine-grained task separation between different AI agents. This allows multiple AI agents with their defined actions to access different tools provided by the MCP server. The agents each act within their assigned area, which makes all actions traceable and provides the prerequisite for a modern, scalable architecture.[\/vc_column_text][vc_empty_space][vc_empty_space dhsv_emptyspace=”vc-margin-top-medium”][\/vc_column][vc_column width=”1\/6″][\/vc_column][\/vc_row][\/vc_section][vc_section][vc_row][vc_column width=”5\/6″][dhsv_vc_section_title index=”Automation with AI”]<\/p>\n

Advantages of an AI agent<\/strong><\/h2>\n

[\/dhsv_vc_section_title][vc_empty_space][vc_column_text css=””]The use of an AI agent as an interface to the AWX Automation Platform offers numerous advantages for both IT teams and specialist departments outside of IT.[\/vc_column_text][vc_empty_space][\/vc_column][vc_column width=”1\/6″][\/vc_column][\/vc_row][vc_row][vc_column width=”1\/3″][dhsv_vc_advantage_boxes entries=”%5B%7B%22image%22%3A%221194%22%2C%22title%22%3A%22Acceleration%20and%20simplified%20operation%22%2C%22text%22%3A%22AI%20agents%20enable%20access%20to%20complex%20automations%20via%20natural%20language.%20Tasks%20that%20previously%20required%20multiple%20steps%20or%20deep%20expertise%20can%20now%20be%20triggered%20in%20seconds.%22%7D%5D”][\/vc_column][vc_column width=”1\/3″][dhsv_vc_advantage_boxes entries=”%5B%7B%22image%22%3A%221566%22%2C%22title%22%3A%22Reduction%20of%20sources%20of%20error%22%2C%22text%22%3A%22The%20AI%20agent%20abstracts%20technical%20details%20such%20as%20playbooks%2C%20job%20templates%2C%20or%20API%20calls.%20Users%20interact%20on%20a%20professional%20level%2C%20while%20the%20technical%20implementation%20takes%20place%20in%20a%20controlled%20manner%20in%20the%20background.%20This%20reduces%20the%20error%20rate.%22%7D%5D”][\/vc_column][vc_column width=”1\/3″][dhsv_vc_advantage_boxes entries=”%5B%7B%22image%22%3A%221200%22%2C%22title%22%3A%22Transparency%20and%20traceability%22%2C%22text%22%3A%22MCP%20can%20be%20used%20to%20query%20status%20information%2C%20job%20results%2C%20and%20reports%20in%20a%20targeted%20manner%20and%20present%20them%20in%20a%20clear%20format.%20Users%20can%20keep%20track%20of%20the%20progress%20and%20results%20of%20automation%20processes.%22%7D%5D”][\/vc_column][\/vc_row][vc_row][vc_column][vc_empty_space dhsv_emptyspace=”vc-margin-top-medium”][vc_empty_space dhsv_emptyspace=”vc-margin-top-medium”][\/vc_column][\/vc_row][\/vc_section][vc_section full_width=”stretch_row” dhsv_background_color=”bg_dark”][vc_row][vc_column width=”3\/4″][vc_empty_space dhsv_emptyspace=”vc-margin-top-medium”][vc_empty_space dhsv_emptyspace=”vc-margin-top-medium”][vc_column_text css=””]<\/p>\n

Automated processes<\/strong> with Ansible and AWX<\/h2>\n

[\/vc_column_text][vc_empty_space][vc_column_text css=””]Automation doesn’t have to be complicated. We help you take the first steps toward automating your IT processes with AWX and Ansible.[\/vc_column_text][vc_empty_space][dhsv_vc_button title=”More” link=”url:https%3A%2F%2Fwww.dicos.de%2Fen%2Fansible-awx%2F|title:Ansible%20%26%20AWX” alignment=”left”][vc_empty_space dhsv_emptyspace=”vc-margin-top-medium”][vc_empty_space dhsv_emptyspace=”vc-margin-top-medium”][\/vc_column][vc_column width=”1\/4″][vc_empty_space dhsv_emptyspace=”vc-margin-top-medium”][\/vc_column][\/vc_row][\/vc_section][vc_section][vc_row][vc_column width=”5\/6″][vc_empty_space dhsv_emptyspace=”vc-margin-top-medium”][vc_empty_space dhsv_emptyspace=”vc-margin-top-medium”][vc_column_text css=””]<\/p>\n

Safe and risk-free use<\/strong> of AI<\/h2>\n

[\/vc_column_text][vc_empty_space][vc_column_text css=””]<\/p>\n

No compromises on governance and compliance<\/h4>\n

[\/vc_column_text][vc_column_text css=””]When companies integrate artificial intelligence into their IT automation, they must place particular emphasis on data protection, compliance, and security. Especially in productive use, sensitive information must remain protected at all times and regulatory requirements must be met.<\/p>\n

A key foundation is the use of AI stacks that can be operated entirely on-premises, because only in a local, controlled environment can sensitive data be reliably protected, compliance requirements met, and internal security policies consistently enforced.<\/p>\n

Another crucial aspect is the clear definition of guidelines for the use of AI agents. Companies must specify exactly which actions the AI is allowed to trigger and under what conditions. Access to MCP tools and automations can be controlled granularly and linked to existing standard processes.<\/p>\n

This ensures that AI agents are only allowed to perform predefined, tested, and approved actions. This enables the secure use of AI in productive scenarios within the specified framework of governance, compliance, and security.[\/vc_column_text][vc_empty_space dhsv_emptyspace=”vc-margin-top-medium”][vc_empty_space dhsv_emptyspace=”vc-margin-top-medium”][\/vc_column][vc_column width=”1\/6″][\/vc_column][\/vc_row][\/vc_section][vc_section full_width=”stretch_row” disable_element=”yes” dhsv_background_color=”bg_dark”][vc_row][vc_column width=”5\/6″][vc_empty_space dhsv_emptyspace=”vc-margin-top-medium”][vc_empty_space dhsv_emptyspace=”vc-margin-top-medium”][vc_column_text css=””]<\/p>\n

White Paper<\/strong><\/h2>\n

[\/vc_column_text][vc_empty_space][vc_column_text css=””]KI-gest\u00fctzte Automatisierung: Wie das Model Context Protocol bew\u00e4hrte Automatisierung kontextbewusst macht<\/p>\n

Erfahren Sie, wie Sie KI sicher und kontrolliert in bew\u00e4hrte IT-Automatisierungstools integrieren und von den modernen Funktionen profitieren.[\/vc_column_text][vc_empty_space dhsv_emptyspace=”vc-margin-top-medium”][vc_empty_space dhsv_emptyspace=”vc-margin-top-medium”][\/vc_column][vc_column width=”1\/6″][\/vc_column][\/vc_row][\/vc_section][vc_section][vc_row][vc_column][vc_empty_space dhsv_emptyspace=”vc-margin-top-medium”][vc_column_text css=””]<\/p>\n

More about AI<\/strong><\/h2>\n

[\/vc_column_text][vc_empty_space][dhsv_vc_theme_slider entries=”%5B%7B%22special%22%3A%22standart%22%2C%22title%22%3A%22DICOS%20MCP-Server%20for%20Automic%20Automation%22%2C%22image%22%3A%222747%22%2C%22link%22%3A%22url%3Ahttps%253A%252F%252Fwww.dicos.de%252Fen%252Fmcp-server-automic-automation%252F%7Ctitle%3AControl%2520Automic%2520Automation%2520via%2520AI%2520Agent%22%7D%2C%7B%22special%22%3A%22standart%22%2C%22title%22%3A%22%20Blog%20article%3A%20IT%20in%20the%20fast%20lane%22%2C%22image%22%3A%2219657%22%2C%22link%22%3A%22url%3Ahttps%253A%252F%252Fwww.dicos.de%252Fen%252Fmagazin%252Fit-in-the-fast-lane%252F%7Ctitle%3AMore%2520efficiency%2520and%2520less%2520complexity%2520with%2520AI%22%7D%5D”][vc_empty_space dhsv_emptyspace=”vc-margin-top-medium”][\/vc_column][\/vc_row][\/vc_section][vc_section full_width=”stretch_row” dhsv_background_color=”bg_blue”][vc_row][vc_column width=”2\/3″][dhsv_vc_section_title index=”Automation x AI” text=”Want to get more out of your AWX Automation Platform?
\nGet in touch with us. We will advise you.” link=”title:Kontakt|target:_blank”]<\/p>\n

MCP Server for your AWX Automation Platform<\/strong><\/h2>\n

[\/dhsv_vc_section_title][vc_empty_space dhsv_emptyspace=”vc-margin-top-medium”][vc_empty_space dhsv_emptyspace=”vc-margin-top-medium”][\/vc_column][vc_column width=”1\/3″][vc_empty_space dhsv_emptyspace=”vc-margin-top-medium”][vc_empty_space dhsv_emptyspace=”vc-margin-top-medium”][vc_empty_space dhsv_emptyspace=”vc-margin-top-medium”][vc_empty_space dhsv_emptyspace=”vc-margin-top-medium”][dhsv_vc_button title=”Contact us” link=”url:https%3A%2F%2Fwww.dicos.de%2Fen%2Fcontact%2F|title:Kontakt” type=”primary”][\/vc_column][\/vc_row][\/vc_section]<\/p>\n<\/div>","protected":false},"excerpt":{"rendered":"

[vc_section][vc_row][vc_column width=”5\/6″][vc_empty_space dhsv_emptyspace=”vc-margin-top-medium”][vc_empty_space dhsv_emptyspace=”vc-margin-top-medium”][vc_column_text css=””] Controlled automation for AI agents. [\/vc_column_text][vc_empty_space][vc_column_text css=””]Model Context Protocol (MCP) describes a standardized approach that enables AI agents to perform deterministic actions in a secure and controlled environment. While AI models are inherently non-deterministic, MCP creates a clear interface between intelligent decision-making and deterministic automation.[\/vc_column_text][vc_empty_space][\/vc_column][vc_column width=”1\/6″][\/vc_column][\/vc_row][vc_row][vc_column width=”5\/6″][dhsv_vc_advantage_list entries=”%5B%7B%22title%22%3A%22How%20MCP%20works%22%2C%22text%22%3A%22Essentially%2C%20MCP%20enables%20an%20AI%20agent%20to%20access%20specific%20tools%20and%20actions.%20The%20agent%20knows%20its%20possible%20functions%2C%20recognizes%20which%20action%20to%20perform%20based%20on%20the%20user’s%20request%2C%20and%20then%20translates%20the%20result%20into%20a%20response%20that%20humans%20can%20understand.%22%7D%2C%7B%22title%22%3A%22Action%20under%20control%22%2C%22text%22%3A%22AI%20agents%20can%20only%20trigger%20previously%20approved%20and%20defined%20workflows%20in%20a%20targeted%20manner.%20Although%20the%20execution%20of%20these%20automation%20workflows%20allows%20operational%20intervention%20in%20the%20infrastructure%2C%20this%20is%20only%20possible%20within%20a%20clearly%20defined%2C%20controlled%20framework.%22%7D%2C%7B%22title%22%3A%22Automation%20meets%20language%22%2C%22text%22%3A%22The%20automation%20platform%20acts%20as%20a%20deterministic%20and%20controlling%20execution%20layer%2C%20while%20MCP%20forms%20the%20bridge%20between%20natural%20language%20and%20technical%20automation.%22%7D%5D”][vc_empty_space dhsv_emptyspace=”vc-margin-top-medium”][vc_empty_space dhsv_emptyspace=”vc-margin-top-medium”][\/vc_column][vc_column … Continued<\/a><\/p>\n","protected":false},"author":19,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-20188","page","type-page","status-publish","hentry"],"acf":[],"yoast_head":"\nDICOS MCP-Server for Awx Automation Platform < DICOS Kommunikationssysteme<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.dicos.de\/en\/dicos-mcp-server-for-awx-automation-platform\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"DICOS MCP-Server for Awx Automation Platform < DICOS Kommunikationssysteme\" \/>\n<meta property=\"og:description\" content=\"[vc_section][vc_row][vc_column width=”5\/6″][vc_empty_space dhsv_emptyspace=”vc-margin-top-medium”][vc_empty_space dhsv_emptyspace=”vc-margin-top-medium”][vc_column_text css=””] Controlled automation for AI agents. [\/vc_column_text][vc_empty_space][vc_column_text css=””]Model Context Protocol (MCP) describes a standardized approach that enables AI agents to perform deterministic actions in a secure and controlled environment. 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entries=”%5B%7B%22title%22%3A%22How%20MCP%20works%22%2C%22text%22%3A%22Essentially%2C%20MCP%20enables%20an%20AI%20agent%20to%20access%20specific%20tools%20and%20actions.%20The%20agent%20knows%20its%20possible%20functions%2C%20recognizes%20which%20action%20to%20perform%20based%20on%20the%20user’s%20request%2C%20and%20then%20translates%20the%20result%20into%20a%20response%20that%20humans%20can%20understand.%22%7D%2C%7B%22title%22%3A%22Action%20under%20control%22%2C%22text%22%3A%22AI%20agents%20can%20only%20trigger%20previously%20approved%20and%20defined%20workflows%20in%20a%20targeted%20manner.%20Although%20the%20execution%20of%20these%20automation%20workflows%20allows%20operational%20intervention%20in%20the%20infrastructure%2C%20this%20is%20only%20possible%20within%20a%20clearly%20defined%2C%20controlled%20framework.%22%7D%2C%7B%22title%22%3A%22Automation%20meets%20language%22%2C%22text%22%3A%22The%20automation%20platform%20acts%20as%20a%20deterministic%20and%20controlling%20execution%20layer%2C%20while%20MCP%20forms%20the%20bridge%20between%20natural%20language%20and%20technical%20automation.%22%7D%5D”][vc_empty_space 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