"Information on Air Quality Index (AQI)" matching MCP servers:

A Node.js server implementing Model Context Protocol (MCP) that enables natural language interaction with Binalyze AIR's digital forensics and incident response capabilities.

An MCP Server that enables users to interact with Google's On-Demand Scanning API (v1beta1) through natural language, likely providing capabilities for vulnerability scanning and security analysis of containers and artifacts.

Vet a package before your AI coding agent uses it — authoritative facts (CVEs, license, maintenance) via an MCP server + CLI. Local, no account.

Evaluates AI agent and MCP server competency across 6 quality dimensions using challenge-response tests, returning quality scores and W3C Verifiable Credentials.

Connects AI assistants to the Vectra AI On-Premise security platform for natural language threat detection, investigation, and automated incident response workflows.

Enables deployment of an MCP server on Cloudflare Workers with OAuth login, allowing remote invocation of tools like math operations from MCP clients.

Enables MCP clients to exchange an MCP-audience token for a Microsoft Graph token and call Graph as the signed-in user, with tools for identity verification and recent mail access.

A remote MCP server deployed on Cloudflare Workers with OAuth authentication, enabling secure tool calling over SSE.

Enables deploying a remote MCP server on Cloudflare Workers with OAuth login, allowing MCP clients like Claude Desktop to connect and use tools over SSE.

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

An MCP server deployed on Cloudflare Workers with OAuth login, allowing remote invocation of tools like math operations from MCP-compatible clients.

A hardened MCP server that enforces authentication via Easy Auth and OAuth, manages secrets with Key Vault, and restricts network access using VNet integration and API Management, enabling secure tool invocations through a fully private infrastructure.

Provides a three-layer payment firewall for AI agents, enabling identity verification, risk screening, and execution authorization with on-chain policy enforcement for secure and auditable transactions.

Enables Bedrock agents to act as a Lark user, performing document operations (list, create, edit, delete) and identity verification via Lark's REST API, with per-user credential injection through a Gateway Interceptor.

A thin MCP server that wraps provenance-receipts and quality-gate services as tools, enabling AI agents to certify content origin and score quality via Ed25519-signed receipts.

Static security linter for MCP servers. Scans tool definitions for vulnerabilities (path traversal, SQL injection, SSRF), scores description quality, and auto-rewrites descriptions for safer agent tool selection.

URL intelligence for AI agents. One URL in, structured security and data quality signals out across 7 dimensions. 13 tools, risk score 0-100 with 23 configurable weights.

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

Enables interaction with SonarCloud projects, issues, quality gates, and security hotspots through natural language.

Enables no-payment triage of x402 payment surfaces, 402 Index health checks, and paid review handoff for authorized inspection.