"Assessing security risks of inputting sensitive material into a hosted MCP server" matching MCP servers:

Enables AI agents to search, import, migrate, validate, and maintain official Google Material Symbols across various platforms and IDEs.

MCP server that provides a 216-rule, framework-aware Kotlin/JVM security analyzer, enabling AI coding agents to query real security findings while writing code.

Chain of Draft Server is a powerful AI-driven tool that helps developers make better decisions through systematic, iterative refinement of thoughts and designs. It integrates seamlessly with popular AI agents and provides a structured approach to reasoning, API design, architecture decisions, code r

Security for the MCP servers you use: detects tool poisoning, rug pulls, shadowing, secrets and supply-chain risk (OWASP MCP Top 10), with runtime guards and approved-server policy. Runs locally.

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

Enables AI assistants to scan project dependencies and Infrastructure as Code files for security vulnerabilities and misconfigurations. It also provides automated fixing capabilities to remediate identified security issues.

Enables file operations, npm package management, and configuration checking through MCP.

Audits npm package dependencies for security vulnerabilities, providing detailed reports and fix recommendations with MCP integration.

MCP server providing a searchable security knowledge base for AI coding assistants, enabling retrieval of secure-coding instructions and feature-specific security guidance.

A meta-server that aggregates multiple MCP servers into a single interface, reducing token usage by 98%+ through progressive tool discovery and direct code execution that processes data between tools without consuming context window space.

Detect live website vulnerabilities and security flaws in GitHub repositories using automated DAST and SAST scanning. Safeguard applications by identifying exposed secrets, insecure dependencies, and common code patterns prone to exploitation. Receive structured fix plans with precise code remediation steps to resolve identified risks and improve security posture.

A TypeScript MCP server with strict schema validation and security guards, currently implementing echo, get_time, hash_text, uuid_generate, and json_validate tools.

Enables AI assistants to deploy and manage static websites directly through EdgeOne Pages. It provides a self-hosted solution for hosting website files using KV storage and managing content through the Model Context Protocol.

Enables AI assistants to deploy and manage static websites via EdgeOne Pages, with one-click deploy and API support.

Enables AI assistants to deploy and manage static websites directly on EdgeOne Pages. Provides simple one-click deployment with KV storage for hosting website files accessible through custom domains.

MCP server providing tools to verify task completion (tests pass and changes match claim) and confirm bug reproduction before fixing.

Enables AI agents to interact with Google NotebookLM and Gemini API for document analysis, deep research, and notebook creation with enterprise-grade security including post-quantum encryption and 14 security layers.

Enables checking project files like Dockerfile, .nvmrc, and CI workflows to determine whether pinned runtime, database, and OS versions are still supported, providing end-of-life dates, latest patches, and upgrade targets for 470+ products.

Enables searching and retrieving documentation from MkDocs Material-powered sites.

Enables AI assistants and developers to analyze code for language-specific best practices and idiomatic patterns across programming languages, CI automation, and configuration formats.