Today, ScalaCode, an AI software development company, announced the addition of the Model Context Protocol (MCP) architecture to its AI Agent Development practice. In the move, the company will enable the development of AI agents that can more seamlessly integrate with enterprise applications, data sources, and third-party systems instead of requiring custom integration, as is common with agent builds.

MCP is an open standard that allows AI agents to find and invoke external tools and data sources via a unified interface, instead of having to customize an integration for each new system that an agent must access. For enterprise customers of ScalaCode, it means quicker deployment of the agent in the CRM, ticketing applications, internal databases, and SaaS applications that are already used by their organization.

Since 2012, ScalaCode has completed over 3000 projects for over 1300 clients in 45+ countries and employs 250+ engineers across 6 offices around the world. The company's AI Agent Development service line has been steadily expanding in the last year, driven by enterprise customers transitioning from pilot projects to scalable deployments, where the ability to connect to the operational systems in place is becoming more critical.

The most frustrating thing about most agent projects is that the model is not able to reason; in the real world, they are not able to reliably access the systems that they need to act on. Having a standard method to connect agents to a client's current tools reduces integration time drastically and simplifies the maintenance and extension of the system," says MCP, which provides a standard way to do this.

The new practice will allow ScalaCode engineering teams to create agents that connect to the internal database, ticketing & CRM systems, document storage, and third-party APIs with a standardized approach. This eliminates the need for custom glue code for every integration and provides a more transparent route to integrating new tools and data sources as the agent systems grow. The architecture also allows enterprises to implement guardrails such as permissions on the use of tools and audit logging, and ScalaCode includes them in all agent deployments.

The expansion is based on ScalaCode's current AI service lines, such as LLM and RAG Development, Generative AI Development, and AI Automation Services. With the introduction of the MCP-based architecture feature, clients can choose to design their client-based AI projects with agents that can be interoperable from the get-go, rather than having to incorporate interoperability features at a later stage. This is especially important for companies that are executing multiple AI projects simultaneously, as the same tools can be accessed across the different projects, minimizing the redundant integration effort.

ScalaCode's tech stack for agent development features LangChain, LangGraph, AutoGen, and CrewAI for orchestration and foundation models from OpenAI, Anthropic, Google, and Meta. The service of MCP will be added to this stack, not in place of the orchestration frameworks that the company already uses.

The company will provide free architecture consultations to organisations considering agent builds based on MCP. These sessions involve a senior AI engineer and a product lead looking at a client's current AI tool ecosystem and creating an integration plan, timeline, and budget.

ScalaCode anticipates that it will be a key component of its AI Agent Development suite in the future, in addition to ongoing enhancements in RAG and multi-model routing.

About ScalaCode
ScalaCode is an AI and custom software development company headquartered in Noida, India, with six global offices serving clients across 45+ countries. Active since 2011, the company has delivered more than 3,000 projects for over 1,300 clients, backed by a team of 250+ engineers. ScalaCode is ISO 9001:2015 certified and holds a 4.8-star rating from over 300 client reviews. Its services include AI Agent Development, LLM and RAG Development, Generative AI Development, AI Automation Services, AI App Development, and AI Integration Services.

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Website: www.scalacode.com

Email: [email protected]