What is MCP Server
Model Context Protocol (MCP) server is a standardized interface that allows AI models and security agents to access external tools and data sources directly within their workflows.
How does an MCP server work?
An MCP server exposes tools, resources, and prompts through the Model Context Protocol. An AI application connects to the server through an MCP client, discovers the capabilities available to it, and can then request information or invoke supported tools during a task.
MCP server for cybersecurity
Security investigations often require information from multiple systems: SIEM, EDR, vulnerability management, threat intelligence, asset inventory, sandboxing, and other security platforms. MCP provides a standardized way for an AI agent to interact with these capabilities.
For threat intelligence, this means an agent can retrieve intelligence when it is relevant to an investigation, rather than relying exclusively on pre-enriched events or static context.
What can an MCP server provide to an AI agent?
An MCP server can provide tools, resources, and prompts.
- Tools allow an agent to perform operations or retrieve information, such as querying a threat-intelligence database.
- Resources provide structured information that an AI application can use as context.
- Prompts provide predefined instructions or workflows for using particular capabilities.
For cybersecurity, the most valuable capabilities are typically tools and resources that provide current security data, investigation context, and access to security operations.
Is there an MCP server for threat intelligence?
Yes. A threat-intelligence MCP server exposes threat-intelligence capabilities to AI agents through MCP.
Depending on the intelligence provider, an agent may be able to query indicators, infrastructure, vulnerabilities, exploitation, reconnaissance, campaigns, or other observed threat activity. This allows intelligence to be retrieved during an investigation, rather than requiring every relevant enrichment result to be attached to an alert beforehand.
ELLIO MCP Server connects AI agents to all ELLIO Intelligence capabilities, enabling them to query threat intelligence across IP, reconnaissance, network fingerprints, and exploitation activity directly within security investigations and automated workflows.
MCP server vs. API
An MCP server is not a replacement for an API. An API defines how software communicates with a specific service. MCP provides a standardized interface through which AI models and agents can discover and use tools and information.
In practice, an MCP server may use an existing API behind the scenes while presenting its capabilities to an AI agent in an MCP-compatible way.
MCP server vs. traditional security integration
Traditional integrations are often built for a specific workflow: alert → enrichment → predefined action.
MCP is designed for more dynamic interaction: Event → agent question → intelligence query → new evidence → follow-up query → decision. This allows an agent to retrieve additional information as an investigation develops rather than requiring every possible enrichment path to be predefined.
Types of MCP servers relevant to cybersecurity
MCP servers can be categorized by the security capability they expose:
- Threat Intelligence MCP servers - Provide access to intelligence about indicators, vulnerabilities, campaigns, infrastructure, exploitation, reconnaissance, or other threat activity.
- SIEM / Security Analytics MCP servers - Allow agents to search security events, investigate alerts, correlate activity, and retrieve historical evidence.
- EDR / Endpoint Security MCP servers - Provide access to endpoint telemetry and investigation or response capabilities.
- Vulnerability Intelligence MCP servers - Expose vulnerability, asset, exploitability, and remediation information.
- Cloud Security MCP servers - Provide access to cloud assets, configurations, identities, findings, and security events.
- Security Operations MCP servers - Connect agents to operational systems such as case management, SOAR, ticketing, or response workflows.
A single MCP server can expose multiple capabilities, and an AI agent can use multiple MCP servers as part of the same investigation.
Frequently Asked Questions
Is MCP secure?
MCP provides a standardized communication mechanism, but security depends on how the server and client are implemented and deployed. Authentication, authorization, least-privilege access, input validation, logging, and control of write actions are important in production security environments.
What is the difference between an MCP client and an MCP server?
The MCP client is the component used by an AI application or agent to connect to MCP servers. The MCP server exposes tools, resources, or prompts that the client can discover and use.
Can an MCP server perform actions, or only retrieve information?
It can support both, depending on the tools it exposes. A threat-intelligence server may primarily provide read/query capabilities, while an operational security MCP server could expose actions such as creating a case or initiating a response workflow. High-impact actions should have appropriate authorization and controls.
Does an MCP server make security decisions autonomously?
Not by itself. The MCP server provides tools and information. The AI agent uses those capabilities as part of its reasoning and workflow. Whether the agent can take autonomous action depends on the permissions and capabilities exposed to it.
Is an MCP server the same as an API?
No. An API is an interface for software to communicate with a service. MCP is a standardized protocol designed specifically for connecting AI applications with tools and contextual information. An MCP server can use APIs internally.
Is there an MCP server for IP Intelligence?
ELLIO MCP Server provides agents with access to ELLIO IP Intelligence alongside its other intelligence capabilities - reconnaissance threat intelligence, exploitation intelligence, and network fingerprint intelligence.
Can AI agents use MCP to investigate security alerts?
Yes. An AI agent can use MCP tools to retrieve additional evidence as an investigation develops.
For example, after receiving an alert involving a suspicious indicator, an agent could query threat intelligence, investigate related infrastructure, check for exploitation activity, search SIEM or EDR telemetry, and use the results to determine the next investigation step.
The important difference from a fixed enrichment workflow is that the agent can choose subsequent queries based on what it discovers. MCP provides the interface to the external capabilities; the agent determines how to use the returned information.