"Gcore" matching MCP servers:

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.

Reputation scoring for AI agent wallets on Base. 9 tools for trust scores, fraud checks, blacklist lookups, leaderboard, badge generation, and agent registration with x402 payment verification.

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.

Adds a responsible-AI safety layer to any agent by exposing RAIL Score's evaluation, agent-guardrail, and compliance capabilities as MCP tools, enabling content scoring, injection detection, tool call evaluation, and DPDP compliance checks.

Provides AI agents with zero-cost, zero-dependency trust evaluation for domains, URLs, wallets, APIs, and IPs, returning a 0-100 score with SSL, DNS, WHOIS, security header, and content sub-scores, plus batch comparison to rank multiple targets.

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

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.

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.

Enables AI agents to query trust scores and security reviews for MCP servers before connecting, helping assess safety via a composite score and letter grade.

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.

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.

Model Context Protocol server for real-time 5G DDoS detection and response.

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.

MCP server that adds a trust layer to AI agent memory, enforcing independent review and tamper-evident audit chains for any memory store. It provides tools to search, get, propose, and promote memories under governance rules.

Enables an AI agent to act as a security operations operator by providing tools to monitor camera feeds, analyze scenes, review situations and alarms, acknowledge or resolve alarms, make voice announcements, and consult audit trails and system status.