BoltMCP

BoltMCP is a platform designed for organizations seeking to create and manage secured MCP (Modular Command and Control Platform) servers entirely on-premises. The tool addresses the need for secure, customizable integration of AI agents with organizational data and APIs, without relying on external gateways or cloud services. Its architecture allows teams to build token-efficient MCP servers that fit specific use cases, leveraging existing infrastructure and workflows.

The platform emphasizes seamless integration with an organization’s current systems. It supports the use of existing identity providers for authentication, enables application of custom RBAC (role-based access control) policies for both users and tools, and connects with in-house APIs for data retrieval and actions. BoltMCP also integrates with established observability platforms for telemetry, ensuring that monitoring and oversight remain within the organization’s control.

A key feature of BoltMCP is its LLM-friendly design, abstracting complex API workflows into simplified, token-efficient tools and resources that large language models can easily interpret. The system employs progressive disclosure by default, providing AI agents with only the necessary information at the right time to avoid overloading context windows and reducing unnecessary token usage. The platform claims measurable improvements in efficiency and recall, such as saving 25,000 tokens on average per task compared to pre-loading resources, and achieving 35% better recall of task-specific tools over naive retrieval-augmented generation (RAG) methods.

Additional capabilities include built-in version control, enabling teams to manage and track changes to their MCP servers, and a kill switch feature that allows instant disabling of servers, revoking user access, or restricting specific tools as needed. BoltMCP supports deployment on the user’s own infrastructure, offering flexibility and avoiding vendor lock-in or cloud dependencies. The platform is positioned for organizations that require secure, efficient, and customizable AI integrations within their existing IT environments.