Why dotSource Is Your MCP Agency
Benefit from our many years of experience with various integration solutions. Our in-depth knowledge of system integration and API architectures forms the basis for embedding MCP into your existing IT landscape securely and efficiently.
Put your trust in our team of experienced AI architects. They understand the logic of large language models (LLMs) and know how to optimally connect them with tools using MCP. The result: Your AI agents make reliable decisions and execute processes autonomously and precisely.
Work with us to identify the most useful MCP use cases. Thanks to our many years of expertise in implementing and optimising systems such as e-commerce, CRM, CMS and PIM, we know exactly which processes are suitable for MCP integration – and which are not.
Our Services as an MCP Agency: Your Partner for MCP Servers, Integration and Hosting
Development and Prioritisation of Use Cases
Get started with AI automation in a targeted and measurable way. We conduct discovery workshops to identify the most promising use cases for actionable AI agents in your business processes. We then prioritise these according to business impact and implementation effort.
Analysis of your System Readiness
Benefit from a clear assessment of your IT infrastructure. We check your existing systems for MCP readiness. This ensures that your systems are optimally set up for automated communication between tools, agents and external resources.
Development of a Security and Data Concept
Receive a targeted data and security concept that serves as the basis for all autonomous processes. This allows you to lay the foundation for clean schemas and consistent interfaces, ensuring that AI models can use your data securely and efficiently.
Implementation of MCP Servers
We turn your actionable AI into reality. Based on prioritised use cases, we develop and implement custom MCP servers. We utilise the efficiency of automation tools such as n8n to quickly make workflows available as MCP tools.
MCP Infrastructure Hosting
Ensure stable and scalable operation. We take care of the managed hosting of your MCP server. Through partnerships with German and European cloud providers, we ensure that your sensitive data and AI workflows are processed in full compliance with the GDPR.
Training
Build acceptance and trust across your team through targeted enablement. We offer your employees the training they need to understand and control the new ways of working with AI agents and to derive the full value from your MCP infrastructure.
Free MCP Consulting Session
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How MCP Changes Processes
Your AI usage probably often works like this: You make a request, the AI provides an answer. You then transfer this to another programme to continue. Media breaks, loss of context and cumbersome efforts are the result. Instead of producing stopovers, your agentic AI acts like a member of your team with the help of MCP, knowing tasks, operating tools confidently and integrating results directly into processes.
How Your Business Can Benefit from MCP
With MCP, AI agents do not just respond, they act. Your AI can independently update data in your CRM, send e-mails or trigger orders in your ERP system.
What you gain: Increased autonomy and productivity of your AI applications
The protocol enforces a clear definition of rights and access. You determine exactly which AI agent is allowed to access which systems and when.
What you gain: Data security and compliance for all automated actions
The standardised interface allows you to quickly connect new tools and systems without having to adapt the AI logic itself.
What you gain: Accelerated time to market for new AI use cases and reduced development time
MCP keeps the logic of the system connection separate from the AI model (LLM) itself. You are not tied to a specific provider (e.g. OpenAI or Google).
What you gain: You remain flexible when switching to better or cheaper AI models
AI Meets Enterprise Tools: MCP Integration with Salesforce, Jira and Confluence
MCP bridges the gap between generative AI and your most important business applications. AI agents can interact with systems such as Salesforce, Jira and Confluence securely and in the appropriate context, accessing information and performing actions.
Jira
- Sprint summary: Retrieve and concisely summarise all relevant tickets for the current sprint
- Ticket classification: AI agents automatically assign new tickets, prioritise them and suggest suitable teams or skills
- Solution suggestions: Analyse historical tickets and suggest possible solutions
Confluence
- Knowledge query: AI answers questions with content from the entire Confluence knowledge base
- Documentation: Automated creation of meeting minutes as a new page in relevant spaces
- Policy check: Verification of procedures against official company policies
From Idea to Implementation: Use Cases for MCP in Your Business
AI acts as a personal assistant for employees. It accesses internal knowledge databases, answers questions about company policies or retrieves real-time data to support with decisions.
Focus: Fast, secure access to company knowledge
AI takes on routine tasks. It sends e-mails, coordinates complex meeting appointments across different time zones or creates tasks in Jira based on the minutes of a virtual meeting.
Focus: Support in everyday work and internal communication
AI agents can access internal legal templates, understand delivery terms or general terms and conditions and – in simple cases – negotiate offers with other systems or agents, all while ensuring that internal compliance rules are followed.
Focus: Automation of legally relevant processes
The service bot does not only respond generically, but has unlimited access to all relevant data (CRM history, order status from the logistics system, individual discounts) for better, personalised solutions.
Focus: Significant increase in service quality and personalisation
Further AI Services at a Glance
Process AutomationInvest in automation where it delivers the greatest value
Frequently Asked Questions About MCP
What is Model Context Protocol (MCP)?
The Model Context Protocol – MCP for short – is an open standard that enables AI systems to communicate securely and in a structured manner with external data, tools and APIs. This allows AI models to retrieve information from various sources, trigger actions and perform tasks independently, thereby going far beyond traditional chatbot functionality.
Why is MCP important for businesses?
MCP is the key to AI's ability to act. Instead of just generating answers, AI agents use MCP to directly intervene in your business processes. For example, they can create orders, retrieve customer data or manage product information. This increases efficiency, data quality and the degree of automation in almost all areas of a business.
What is an MCP server?
An MCP server is the heart of an AI infrastructure. It establishes the connection between your systems (e.g. CRM, PIM, ERP or e-commerce) and the AI models. This allows your AI to interact with data in a structured manner, trigger actions and automate processes.
Is MCP secure and GDPR-compliant?
Yes. We develop MCP solutions in accordance with the highest security and data protection standards. These include GDPR-compliant data processing, access restrictions, encrypted interfaces and individually tailored security concepts. This means you retain full control over your data at all times.