"How to use Bootstrap framework" matching MCP servers:

Safety middleware for AI computer use agents that monitors, enforces policies, and provides guardrails to enable safe desktop interaction.

A framework for building MCP servers with built-in enterprise capabilities such as authentication, authorization, telemetry, audit logging, and data classification, allowing domain developers to focus on business logic while maintaining governance and compliance.

Demonstrates Agent Passport System pre-dispatch authorization by issuing one-use grants and verifying signed authorization envelopes before proxied tool calls reach the upstream server.

A minimal MCP server framework for single-owner production deployments using OAuth authorization code flow with PKCE, providing endpoints for MCP, authorization, token, and metadata.

Routes web requests from AI tools through Tor for anonymized fetching, with selective per-URL routing to bypass Tor-blocking sites.

Read-only ProofRelay MCP verifier for non-confidential evidence bundles. Exposes 22 public-safe tools, 11 resources, and 11 prompts for bundle integrity checks, receipt-chain review, checkpoint recommendations, MCP risk metadata review, and real-estate closing proof-pack readiness.

Enables AI agents to securely use real secrets (API keys, database passwords) by requiring human approval for each release, ensuring secrets never enter the model's context.

Scans suspicious messages, URLs, and text for scams inside any MCP-compatible AI assistant. No signup or API key needed for anonymous use.

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.

Enables MCP-compatible agents to query security checklists, protocols, and framework mappings to safely build and operate AI agents, with tools for checklist runs, protocol lookup, mapping lookup, and threat search.

Orchestrates multiple AWS security services to provide comprehensive security assessments, threat analysis, and multi-framework compliance monitoring. It enables users to perform automated remediation recommendations and incident investigations through a unified Model Context Protocol interface.

MCP server to easily use compliance-trestle for OSCAL compliance workflows from any MCP-compliant client.

Enables AI agents to securely manage local credentials, obtain short-lived tokens for authenticated API access, and audit every use by purpose.

Provides DNS lookup and email authentication diagnostic tools (SPF, DKIM, DMARC, MX, etc.) for use with MCP-compatible clients. Enables natural language queries to check DNS records and email health.

MCP server that integrates the Phylax verification API, enabling AI assistants to verify packages, repositories, and other MCP servers before use. It exposes tools for verifying artifacts, checking policies, and fetching attestations.

Local-first MCP proxy with BM25 tool discovery, quarantine security, Docker isolation, OAuth support, activity logging, and web UI. Routes multiple upstream MCP servers through a single endpoint.

Exposes the Maester security test framework for Microsoft 365/Entra/Defender as MCP tools, enabling AI agents to run tests, audit AI agents and MCP servers, and investigate security posture.

An MCP bridge for ProphetKey, an offline-first encrypted API key vault for AI agents. Use one of the 5 prophetkey_* tools to inject real API keys through a local proxy — agents only ever see safe_key identifiers, never the real provider keys.

Exposes the MITRE ATT\&CK framework to LLMs and AI assistants via the Model Context Protocol, enabling querying of techniques, tactics, groups, software, and mitigations.

Provides AI assistants with specialized tools to interact with NIST's Open Security Controls Assessment Language (OSCAL) framework. It enables agents to retrieve schemas, explore models, and generate valid OSCAL documentation for security compliance automation.