"Exploration of the term '.core' and its references" matching MCP servers:

Enables searching for relevant tables and retrieving data from Microsoft Sentinel's data lake using natural language, supporting security hunting scenarios like password-spray detection and impossible travel checks.

Deterministic AI safety policy engine with Z3 formal verification. Write, verify, simulate, and enforce machine-verifiable safety constraints for AI agents. Completely outside the LLM.

Provides shared MCP-server machinery for Flask apps, including streamable HTTP transport, token-based auth, caller identity resolution, tool registry with permissions, and audit logging, enabling developers to build consistent and secure MCP servers.

An MCP server that proxies tool calls to a running SentinelX Core instance with OIDC/OAuth authentication. It enables secure integration of SentinelX Core's HTTP agent capabilities through the MCP protocol.

A production-ready MCP gateway and control plane that provides credential vault, policy engine, audit logging, and managed runtime for routing tool calls between AI agents and downstream MCP servers.

Supply chain risk scoring for npm, PyPI, and GitHub repos

A local capability layer for AI agents providing persistent memory, credential management, connectors, and activity tracking.

A local MCP daemon that turns an agentic coding client into a bug bounty operator, with 103 tools for offensive security testing including MITM proxy, traffic analysis, and OOB callbacks.

Enables AI assistants to perform password security auditing using John the Ripper on a remote Kali system via SSH, supporting cracking, hash management, and session control.

Provides comprehensive management of Microsoft 365 services including Exchange, SharePoint, Teams, Azure AD, Intune device management, security & compliance frameworks, and universal access to 1000+ Microsoft Graph API endpoints with advanced features like batch operations, delta queries, and real-time webhooks.

Enterprise-grade code intelligence server for AI assistants that analyzes codebases for due diligence, tech debt, security vulnerabilities, and code quality.

Enables agents to prove and verify that a real, unique human performed an action, issuing machine-readable signed credentials with public verification.

Living off the Land intelligence for AI agents. GTFOBins, LOLBAS, LOOBins, LOLDrivers, LOLRMM, WADComs, LOLC2 and more — unified into a single MCP server.

The guarddog that watches your AI and stops before it goes rogue. It combines a deterministic core and dynamic AI layer to get the best both worlds of reliability and personalizaiton.

Enables authorized web/API security analysis as a stateful, multi-stage workflow with persistent session state, human-controlled validation, candidate versus confirmed finding tracking, and stop conditions.

MCP server for managing Microsoft Intune and Entra ID via the Microsoft Graph API, offering 34 tools for device, app, compliance, security, identity, and reporting operations.

A verifying MCP gateway that pins approved tool manifests and skill files to content addresses, blocking tampered descriptions before they reach model context.

Enables named, authenticated callers to run read-only introspection of a Google Cloud project and to read and write per-tenant notes that stay isolated between callers. Every request is scope-checked against a reviewed policy, rate-limited per caller, and audited without ever logging argument values.

A governed MCP server that enforces a trust layer between AI agents and databases, requiring sign-off on joins and metrics and producing auditable receipts for every query.

Compiles YAML adapters or OpenAPI specs into a minimal MCP tool surface that exposes only declared capabilities to agents, with risk-tiered execution, human approval queues, credential brokering, prompt-injection sanitising and NIST AU-3 audit logging. This lets operators put scoped identity, permissions and kill switches in front of any API so agents can call exactly the tools they need and nothing more.