"Inappropriate or harmful content" matching MCP servers:

A minimal Model Context Protocol server that provides a safety guardrail tool to check if provided context is free from code injection or harmful content.

Provides AI security guardrails through Javelin's platform to detect harmful content, prompt injection attempts, and language policies. Enables comprehensive content safety analysis with trust & safety detection, prompt injection protection, and language identification.

Provides redacted access to a private local knowledgebase for coding agents, allowing them to inspect files while hiding sensitive names and identifiers.

An MCP server that reads a file's embedded C2PA Content Credential to report whether it declares AI generation or a real-world capture, and checks whether that declaration's signature still verifies against the file's current bytes.

Enables local spend caps and Ed25519-signed provenance receipts for AI agent tool calls, allowing any MCP host to gate model usage and independently verify signed decisions without sending prompts or content.

Enables LLM agents to fetch web pages safely, blocking SSRF, downloads, hidden text, and prompt-injection attacks before returning cleaned content.

Verifies C2PA Content Credentials for local files or URLs and returns an LLM-ready verdict on trust, AI generation, and provenance.

Deterministic dependency + CVE context for AI coding tools, over the Model Context Protocol. A ~0.85 MB pure-Rust MCP server.

Read selected local folders from ChatGPT on macOS, with per-folder read-only or read-write access and hash-checked, recoverable edits. Requires local installation and a private ChatGPT app. The Glama container is a synthetic evaluation demo; it does not connect to files on your Mac.

MCP server that gives an AI assistant simultaneous access to multiple Gmail accounts with per-account read-only, draft, or send tiers, two-phase write confirmation, and safeguards for handling untrusted email content.

Enables agents to call typed code-review and content-moderation decision tools, returning structured verdicts, probabilities, and confidence-gated actions.

Enables reading and verifying C2PA Content Credentials from images and videos through both embedded manifests and invisible watermarks. Supports direct filesystem access, URL checking, and provides structured provenance data including creator identity, AI generation info, and content authenticity.

Two-way Burp Suite MCP bridge enabling AI agents to capture traffic, analyze endpoints, queue scans, and send findings back to Burp.

Post-quantum readiness for AI coding agents: scans code for quantum-vulnerable cryptography (RSA/ECDH/ECDSA/DH) and returns NIST ML-KEM/ML-DSA/SLH-DSA (and hybrid) migration guidance, with fix verification and dependency checks. Content-based, advisory tools only; runs local (npx @quantakrypto/mcp) or as a hosted OAuth endpoint.

Three practical MCP tools to investigate agents, threads, and content trust signals.

Supply chain risk scoring for npm, PyPI, and GitHub repos

Analyzes GitHub Pull Request diffs for security vulnerabilities and data leaks, using a deterministic filter to skip trivial changes and an AI-powered analysis for logic changes.

Enables AI assistants to read and manage an account's boards, pins, sections, and analytics, run full-text search over its own content, and complete OAuth token flows through the Pinterest API v5. It exposes 35 typed tools that run either as a local stdio subprocess or as a stateless remote HTTP endpoint with built-in OAuth 2.1 support.

Analyzes Microsoft Sentinel solutions from GitHub repositories to map data connectors to Log Analytics tables and query security content like detections and playbooks. It provides instant access to the official Content Hub or private repositories through a high-performance pre-built index.

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.