"Enabling General Models to Think" matching MCP servers:

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

An MCP server that connects language models to a Wazuh SIEM cluster, enabling read-only plain-language queries, schema inspection, field coverage analysis, and decoder testing.

Inspects documents for tampering, ineffective redactions, and text aimed at language models before they enter an agent's context, and compares documents to confirm whether they are unchanged.

Mechanical write gates, evidence receipts, and adversarial review for AI coding agents. Fable Mode enforces a Think → Prove → Attack → Write workflow before an agent earns permission to edit a workspace.

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.

Enables AI agents to evaluate trust, safety, and bias of models and agentic traces using TrustModel APIs.

Enables AI agents to evaluate clinical AI models for adversarial robustness, privacy leakage, and standards compliance, producing a Security Posture Score.

A secure email gateway MCP server that protects AI agents from prompt injection attacks by scanning emails for malicious instructions before they reach the agent.

PII sanitization layer for autonomous AI agent pipelines. Detects and redacts emails, phone numbers, national IDs, private keys, and financial data before text reaches LLMs. Supports EN, ES (LATAM), PT (BR/PT), DE, JA.

Provides read-only access to VeriLock document metadata and cryptographic evidence, enabling clients to list, retrieve, verify, and audit documents through the Model Context Protocol.

An MCP server that sends plain-text Gmail messages only to a predefined allowlist, using generated recipient IDs instead of email addresses to enforce security.

Enables AI coding agents to plan, policy-check, and cost-estimate Terraform changes while requiring human approval through Slack or CLI before any terraform apply can execute.

Enables users to manage OpenFGA authorization models, stores, and relationship tuples through natural language. It supports permission checks, batch tuple operations, and the deployment of authorization models across different environments.

Enables AI agents to perform general-purpose open-source intelligence lookups across domains, infrastructure, identity, social media, and threat/breach sources through a unified MCP interface, with most tools free and no API keys required.

Connects AI clients to Tenable OT Security, exposing OT/ICS asset inventory, vulnerabilities, events, policies, and findings as read tools, with an opt-in dry-run write layer for asset edits and policy management.

A Model Context Protocol server that retrieves CVE information from the National Vulnerability Database, allowing AI models to access up-to-date vulnerability data.

Enables detection of AI-generated content from ChatGPT, GPT-4, and Gemini models through the BACH AI Content Detector API.

An implementation of the Model Context Protocol server that enables AI models to communicate with Edge Security Acceleration (ESA) services, allowing models to manage routines, deployments, routes, records, and sites through standardized protocols.

A Model Context Protocol server that provides network analysis tools for security professionals, enabling AI models like Claude to perform tasks such as ASN lookups, DNS analysis, WHOIS retrieval, and IP geolocation for security investigations.

Security scanning MCP server that connects Claude to RepoMend findings, enabling vulnerability management and automated fix drafting.