"Metallurgical Engineering and Steel Plant Processing Information" matching MCP servers:

Lets AI agents gate actions before they happen with allow/ask/deny verdicts, rank up to 255 options, and report decision stats.

An MCP server that enables conversational interaction with Wazuh SIEM, allowing users to investigate alerts, hunt threats, tune false positives, edit rules, and run security actions via natural language.

Enables AI agents to call deterministic finance and quant APIs (e.g., DCF, Black-Scholes, bond pricing) with per-call payments over x402, no API keys required.

Enables AI agents to inspect any public domain’s web technology stack, email deliverability and DNS health (MX, SPF, DKIM, DMARC, MTA-STS, TLS-RPT, BIMI), and HTTPS security posture with typed JSON scores and remediation-ready findings, plus history, bulk checks, monitoring alerts, and reverse technology lookups.

Provides structured templates for security questionnaires, RFP responses, and competitive battlecards to help AI agents and sales engineers draft responses efficiently.

Provides a local-first, governed MCP foundation where QA engineers can check server health and capabilities, read a status resource, use an orientation prompt, and validate non-secret configuration, profiles, and credential references without exposing secrets. External provider integrations, test execution, and release reporting are not yet implemented and remain scaffolded.

Maps Claude Code, Cursor, OpenCode and other agent runtime configs into one local capability graph so you can query what is reachable, what sits one step away, and what is configured but failing its checks. Agents can ask over MCP what they can do before trying, and when blocked, receive a drafted config change to approve.

Enables AI agents to securely reach enterprise tools and other agents through a governed gateway with pinned tool definitions, delegated authorization, content inspection, human approval, and signed audit trails.

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.

Validates URLs and checks their reputation to help identify AI hallucinations and verify web page authenticity.

Stateless Streamable HTTP MCP endpoint with OAuth 2.1 authentication via Cloudflare Workers, supporting PKCE, DCR, and token introspection.

Compare service-grant changes, tool alias origins, and saved MCP tool definitions with Gooo rules. Reports preserve incomplete-capture uncertainty and source bindings. No grants are applied and no compared tools are invoked.

Enables generating secure passwords, exposing password policies, and providing reusable prompt templates for secure password creation through MCP primitives.

Implements a secure MCP server with API Key and JWT authentication, providing tools like echo, login, secure_action, and admin_action. Includes MCP Inspector integration for testing and debugging.

Enables AI agents to discover and invoke backend tools over MCP JSON-RPC while enforcing 3-legged OAuth 2.0 identity propagation, role-based access control, and protocol transcoding to REST APIs.

Enables agents to read and report, and to carry human-authored updates into systems of record after human consent, while structurally preventing autonomous writes of commitments like owners, due dates, or statuses.

Enables enterprise MCP clients and partner agents to execute tenant-isolated underwriting, claims, and compliance workflows with durable step checkpointing, evidence-grounded tool calls, and deterministic PDF citation receipts. It supports A2A task dispatch and MCP JSON-RPC operations while blocking cross-tenant access and ungrounded deliverables.

A wrapper for mcp-remote that provides secure authentication for protected MCP servers using Adobe IMS or Okta OAuth flows. It features automated token management, validation, and background refreshing for seamless access to remote resources.

Enables AI agents to discover and execute tools via a secure MCP server with JWT authentication, RBAC, rate limiting, and audit logging.

Enables automated review and analysis of network security controls (AWS Security Groups, Network ACLs) using natural language queries. Supports NSC configuration reviews, network segmentation testing, and identifying security gaps through conversational LLM interaction.

Provides governed MCP tools for querying optionally restricted Microsoft Sentinel/Log Analytics tables and optional Defender XDR hunting data, retrieving incidents and entities, and—for agent identities only—adding attributed incident comments, with Entra ID authentication, KQL validation, rate limits, and redacted audit logging.

A deployable MCP server template for Cloudflare Workers that provides Google OAuth authentication and comprehensive analytics tracking of tool usage, performance metrics, and user behavior.

Records approved parking reservations to a secure text file via the Model Context Protocol, with token authentication and input sanitization.

Demonstrates OAuth2/OIDC authentication for MCP servers using Asgardeo, with JWT validation and a sample weather tool to showcase secured API access.

MCP server for AI security scanning. Detects prompt injections, jailbreaks, data exfiltration, and social engineering attacks in real-time using 42 regex patterns via the ClawGuard Shield API. Sub-10ms response times.

Enables AI assistants to interact with security data pipelines and map data to the Open Cybersecurity Schema Framework (OCSF) through Tenzir. Provides seamless integration for processing and analyzing cybersecurity data using natural language.

A robust Model Control Protocol server that enables AI agents to access real-time cyber threat intelligence and detailed information about vulnerabilities, threat actors, malware, and other cyber-security entities.

MCP server that provides a hello world tool and implements server-side CIMD (Client ID Metadata Documents) processing, enabling OAuth authorization servers to fetch and validate client metadata documents with SSRF protections.

A Model Context Protocol (MCP) server for Socket integration, allowing AI assistants to efficiently check dependency vulnerability scores and security information.

RSigma is a Rust detection-engineering toolkit for the Sigma standard. Its MCP server (rsigma mcp serve) exposes the toolchain to AI agents over stdio or Streamable HTTP, with tools to author, lint, validate, and convert Sigma rules, evaluate and explain detections against log events, and inspect correlation state.