CRM systems
Find clients, manage deals, update data, create tasks, and get analytics through an AI assistant.
MCP servers and AI assistants for corporate data
Companies accumulate large volumes of information daily: customer databases, product catalogs, real estate data, orders, financial indicators, and internal documentation. However, to work with this data, employees often have to navigate multiple systems, manually search for relevant records, and independently prepare analytics.
MCP (Model Context Protocol) enables the connection of corporate data sources with AI assistants through a single, standardized interface. Instead of manual searches, users can formulate a task in plain language, and the AI will retrieve the necessary data from connected systems and prepare a response.
We connect AI assistants to databases, CRM , ERP , and internal company services. We develop our own MCP servers, through which artificial intelligence accesses up-to-date information, analyzes business data, and performs authorized operations. We integrate solutions with Claude, ChatGPT, and other AI platforms, adapting them to the needs and infrastructure of the business.
Which systems are suitable for AI integration?
We connect AI to existing corporate platforms, databases, and internal tools, regardless of the complexity of their interfaces and business processes.
ERP systems
Work with orders, finances, warehouse balances, purchases and other internal enterprise processes.
Databases
Searching and processing information, generating samples, analyzing indicators, and generating reports in natural language.
Internal business platforms
Manage data and operations in specialized, legacy and enterprise systems with complex structures.
Why Implementing an AI Assistant Benefits Your Business
Leverage the capabilities of existing business systems more efficiently, reduce manual operations, and simplify employee workflows. AI integration helps you access information faster, automate everyday tasks, and reduce dependence on complex corporate interfaces.
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Quick access to information
Get the data you need in one request instead of a lengthy search through system sections.
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Fewer routine operations
Automate repetitive actions, record searches, report generation, and other common tasks.
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Simple employee training
Reduce the onboarding time for new specialists thanks to a familiar communication format with AI.
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Convenient work with complex interfaces
Use CRM and ERP functionality without having to remember the location of all the tools.
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Analytics without special skills
Get reports, statistics, and comparative analysis without writing complex queries yourself.
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Maintaining the existing system
Add AI functionality without replacing your CRM, ERP, or enterprise platform.
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Single access to multiple systems
Work with information from multiple connected sources through a single AI interface.
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Quick completion of work tasks
Create records, update data, and run available operations using text commands.
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Flexibility and scalability
Connect additional features, data sources, and new scenarios as your business grows.
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Access and Operation Control
Define permitted actions, restrict access to information, and set up confirmations for important operations.
Use AI wherever you want
The AI assistant can be integrated directly into your corporate system, run as a standalone application, or connect via MCP to compatible AI platforms. We select the implementation format based on your existing infrastructure, employee tasks, and security requirements.
AI chat within CRM or ERP
We integrate an AI assistant directly into the interface of your CRM, ERP, or other corporate platform. Employees gain access to intelligent tools in their familiar work environment, without having to switch between applications or learn additional services.
Using the built-in chat, you can find clients and orders, check statuses, analyze metrics, create tasks, update records, and launch available business operations. The AI assistant interacts with system functions within the configured access rights, helping to reduce manual interactions and simplify everyday tasks.
A separate AI application
We are developing a standalone AI application that integrates the capabilities of multiple corporate systems into a single interface. This solution is especially relevant for companies using different CRM, ERP, internal platforms, and databases, which employees must constantly switch between.
Users can access information from connected sources through a single AI chat, obtain consolidated data, analyze metrics, and perform authorized operations. The application can be adapted to different employee roles, business processes, and company requirements, providing convenient access to the necessary tools without changing existing systems.
Connecting to external AI platforms
We connect corporate databases, CRM, ERP, and internal services to compatible AI platforms via the Model Context Protocol (MCP). This allows you to use familiar AI tools, including Claude and other MCP-enabled clients, to interact with your company's information and functionality.
We develop an MCP server, configure access to the required data, and define the set of tools the AI assistant can use. Employees can search, analyze information, generate reports, and launch system-defined actions directly through the selected AI platform. Access to corporate resources is limited by established permissions and security rules.
What an AI assistant can do with your system
Transform common text queries into specific actions within CRM, ERP, and other corporate platforms. The AI assistant accesses authorized system functions and helps employees work with information, manage tasks, analyze metrics, and automate daily operations.
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Search for information
Find clients, deals, orders, documents, and other records using a simple text query, without manually setting filters or searching by sections.
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Analytics and comparison
Analyze sales, financial performance, customer activity, and business process efficiency using up-to-date data from connected systems.
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Generating reports
Create pivot tables, analytical selections, and reports based on specified parameters without having to work with databases yourself.
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Client management
Get customer information, update cards, check interaction history, monitor deal statuses, and create new records.
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Working with tasks
Create tasks, assign responsible employees, check deadlines, and track ongoing assignments via AI chat.
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Order management
Check order statuses, product availability, inventory balances, and other operational information, and perform available actions in the system.
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Working with documents
Find the documents you need, extract information from files, analyze content, and prepare data for further processing.
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Process automation
Execute system-provided operations and sequences of actions through text commands, reducing the number of repetitive manual operations.
How AI control differs from traditional interfaces
Traditional CRM, ERP, and enterprise platforms require employees to understand the system's structure, function layout, and workflow. AI assistants offer a different approach: instead of manual navigation, the user formulates the task in natural language, and artificial intelligence accesses the necessary data and tools.
- Information search. Instead of navigating between sections, setting filters, and browsing tables, simply describe the data you need to find.
- Report generation. Instead of manually selecting parameters and combining information from different sources, you can formulate a query and receive a ready-made analytical summary.
- Working with multiple systems. Instead of constantly switching between CRM, ERP, and other platforms, employees can access connected sources through a single AI interface.
- Executing Operations. Instead of filling out forms and performing manual actions, you can use text commands to initiate authorized operations.
- Employee training. Instead of time-consuming learning of complex interfaces, users can perform some work tasks through a familiar dialogue format.
- Expanded functionality. New interaction scenarios with the system can be implemented through AI tools without the need to create a separate interface for each operation.
AI doesn't replace existing CRM or ERP systems, but rather complements them. Companies retain their existing business processes and gain an additional way to manage the system, simplifying employee work and reducing manual intervention.
How MCP Server Connects AI to Your Business Systems
The Model Context Protocol (MCP) is an open standard that allows AI assistants to interact with databases, enterprise systems, and software tools. Through MCP, artificial intelligence gains access to permitted data and functions, including information search, analytics, and operations.
We develop MCP servers for existing systems: we identify available AI tools, configure connections to data sources, authorization, and access rights. The solution can integrate multiple corporate platforms or work with a separate database without replacing existing software.
What systems can be connected:
- AI platforms: Claude, ChatGPT, and other AI clients with MCP support.
- Databases: PostgreSQL, MySQL, Microsoft SQL Server and other DBMS.
- Business systems: CRM, ERP, HRM, financial, warehouse and industry platforms.
- APIs and external services: third-party applications, cloud services, and programming interfaces.
- Internal tools: corporate portals, knowledge bases, document management and proprietary software.
What do you get after implementing an AI solution?
Cortex Intellect creates comprehensive AI solutions tailored to a company's existing IT infrastructure and business processes. This provides you with ready-made tools for interacting with corporate data, managing operations, and further developing AI functionality.
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AI interface for employees
An integrated AI chat or standalone app that allows employees to interact with corporate systems, receive information, and perform work tasks in natural language.
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Custom MCP server
An MCP server designed specifically for your infrastructure, with the necessary tools for connecting AI assistants to databases, APIs, and internal business system functions.
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Integration with corporate systems
Customized AI interaction with existing CRM, ERP, databases, and other company platforms without requiring software replacement or changes to established business processes.
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AI tools and automation
Implemented scenarios for searching and processing information, generating reports, creating and editing records, and launching authorized operations through AI commands.
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Security and access management
Configured authorization mechanisms, user rights delimitation, restrictions on available tools, and transaction control in accordance with company requirements.
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Scalable architecture
A flexible solution that can be expanded with new AI tools, data sources, integrations, and automation scenarios as your business grows.
Secure interaction with corporate data
Connecting artificial intelligence to internal systems requires special attention to security and operational control. We design MCP integrations with the existing access architecture in mind, ensuring that the AI assistant only works with authorized data and functions.
- Access rights management. Configure accessible data and operations based on user roles and permissions.
- Action control. Define operations that AI can perform independently and those that require human approval.
- Logging. Recording requests, tool accesses, and actions performed for subsequent auditing.
- Data protection. Configuring secure communication between the AI platform, MCP server, and internal infrastructure.
- Critical Operation Approval. Additional approval for actions involving changes to important records, financial transactions, and other sensitive processes.
This approach allows AI to be used in corporate environments without abandoning existing access management and internal control principles.
How is MCP server and AI integration being developed?
Development begins with an analysis of the existing infrastructure and defining the tasks that need to be delegated to the AI assistant. Based on this, we create an integration architecture, identify available tools, and implement interaction with corporate data.
1. Requirements analysis
We explore database structure, existing systems, business processes, and AI use cases.
2. Architectural design
We determine connection methods, available resources, tools, and rules for interacting with data.
3. Developing an MCP server
We implement the server component, configure tools for obtaining information and performing authorized operations.
4. Connecting the AI assistant
We integrate the MCP server with the selected AI platform and configure request processing scenarios.
Tell us about your task – we'll help you identify AI integration opportunities and suggest the optimal implementation option.
5. Testing and security
We check the correctness of responses, command execution, rights delimitation, and error handling.
6. Implementation and support
We deploy the solution in a coordinated infrastructure, document the integration, and ensure the possibility of further development.
Implement AI into your company's operations
Your own data and internal systems can become a fully integrated part of your business's AI infrastructure . With MCP servers and corporate AI assistants, employees gain more convenient access to information, perform analytical tasks faster, and interact with business systems using natural language.
Cortex Intellect develops MCP solutions from scratch, connects AI to existing databases, CRM, and ERP systems, and tailors integrations to the specific infrastructure and company requirements. We assist with the entire process, from architecture design to implementation and further development.
Your data can work more efficiently with AI
Tell us about your business goals. We'll help you choose the right MCP solution, connect AI to your corporate data, and develop an assistant with the necessary capabilities.
FAQ
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What is an MCP server and why does a business need one?
An MCP server is a software component that implements the Model Context Protocol and provides AI assistants with standardized access to data and tools from external systems. It allows you to connect a corporate database, CRM, ERP, or internal service to the AI and use their information for searching, analyzing, and performing authorized operations.
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How is MCP different from regular API integration?
An API defines the methods of interaction between software systems, while an MCP standardizes the provision of context and tools to AI models. An MCP server can leverage existing APIs and other integration mechanisms, providing AI with a single, understandable interface for interacting with external systems.
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Is it possible to connect Claude or ChatGPT to my own database?
Yes. An MCP server is being developed for this purpose, ensuring secure communication between the AI platform and the database. Once the connection is established, users will be able to ask questions, search for information, and obtain analytics based on the available data.
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What databases can be connected to MCP?
PostgreSQL, MySQL, Microsoft SQL Server, and other databases can be integrated. The choice of technology depends on the existing infrastructure, data storage structure, and project requirements. Connecting multiple data sources simultaneously is also possible.
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Is it possible to restrict AI access to certain data?
Yes. Permitted tools, operations, and data areas are configured during development. User rights, authorization mechanisms, and the need to confirm critical actions are also taken into account.
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Can AI not only analyze but also modify data?
Yes. The MCP server can provide tools for creating, updating, and deleting records if such operations are supported by the solution architecture. For sensitive actions, mandatory user confirmation and additional permissions checking can be implemented.
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Is it possible to implement MCP into an existing CRM or ERP?
Yes. A separate MCP server or intermediate integration service can be developed for an existing system. This allows you to integrate the AI assistant without having to completely rebuild your existing CRM or ERP.
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Is it possible to create an AI assistant directly within a CRM or ERP?
Yes. We can develop a built-in AI chat adapted to the interface and functionality of your system. Employees will be able to access CRM or ERP data and functions via text and voice commands.
