"CopilotKit - AI copilot development framework" matching MCP servers:

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.

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.

Unified MCP server integrating NIST and OWASP security frameworks with live vulnerability data, enabling security searches, compliance mapping, threat modeling, and checklist generation.

Enables external MCP clients to invoke governed tools with schema validation, budgets, policy checks, human approval for side-effecting actions, and prompt-injection quarantine.

Enables AI-assisted development of CodeQL queries for security analysis through the Model Context Protocol. Provides tools for compiling, testing, and executing CodeQL queries across multiple programming languages.

Audits Copilot Studio connector permissions, drift scans, owner signoff receipts, and compliance export packs.

Zero-knowledge proof generation MCP server. AI agents can prove identity claims (Coinbase KYC, Country, Google OIDC, Google Workspace, Microsoft 365) without revealing personal data. Runs in AWS Nitro Enclave TEE with x402 USDC payments.

Enables interaction with biometrics AI features, including risk management, transparency, bias detection, and compliance tracking, all compliant with the EU AI Act.

Enables observability and governance for local LLMs via Ollama, including auditing model usage, scanning prompts for secrets/PII, and enforcing allow/deny policies.

Enables creation of secure-by-default MCP servers with 5-layer validation to protect against injection, path traversal, and other attack vectors.

MCP server for AI-driven VAPT orchestration, enabling agents to plan and execute authorized security scans through a control plane that enforces scope, sanitization, budget, rate limits, human approval, and audit logging.

Connects AI assistants to the Vectra AI security platform to enable intelligent analysis of threat detection data and automated incident response workflows. It allows users to investigate threats, take response actions, and generate security reports using natural language.

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

Perimeter security for your AI Infrastructure.

Enables AI agents to operate through a local, signed boundary that blocks prompt injection and secret leakage, verifies outputs, preserves cross-session memory, and provides offline-verifiable receipts. It also exposes 900+ MCP tools for discoverable agent actions.

A Python-based MCP server that enables integration with Microsoft Security Copilot and Microsoft Sentinel, allowing users to run KQL queries, manage skillsets/plugins, and execute prompts in Security Copilot.

JWT AI - MCP server providing AI-powered tools and automation by MEOK AI Labs

A multi-agent AI security layer that protects LLMs from prompt injection, jailbreaks, and policy violations via MCP tools.

Backup AI - MCP server providing AI-powered tools and automation by MEOK AI Labs

An MCP server that provides tools for deterministic EU AI Act risk classification and documentation generation, enabling human-in-the-loop AI system assessments inside Claude Code.