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The Model Context Protocol (MCP) Atlassian integration is an open-source implementation that bridges Atlassian products (Jira and Confluence) with AI language models following Anthropic's MCP specification. This project enables secure, contextual AI interactions with Atlassian tools while maintaining data privacy and security. Key features include:

The Model Context Protocol (MCP) Atlassian integration is an open-source implementation that bridges Atlassian products (Jira and Confluence) with AI language models following Anthropic's MCP specification. This project enables secure, contextual AI interactions with Atlassian tools while maintaining data privacy and security. Key features include:

The Model Context Protocol (MCP) Atlassian integration is an open-source implementation that bridges Atlassian products (Jira and Confluence) with AI language models following Anthropic's MCP specification. This project enables secure, contextual AI interactions with Atlassian tools while maintaining data privacy and security. Key features include:

The Model Context Protocol (MCP) Atlassian integration is an open-source implementation that bridges Atlassian products (Jira and Confluence) with AI language models following Anthropic's MCP specification. This project enables secure, contextual AI interactions with Atlassian tools while maintaining data privacy and security. Key features include:

The Model Context Protocol (MCP) Atlassian integration is an open-source implementation that bridges Atlassian products (Jira and Confluence) with AI language models following Anthropic's MCP specification. This project enables secure, contextual AI interactions with Atlassian tools while maintaining data privacy and security. Key features include:

The Model Context Protocol (MCP) Atlassian integration is an open-source implementation that bridges Atlassian products (Jira and Confluence) with AI language models following Anthropic's MCP specification. This project enables secure, contextual AI interactions with Atlassian tools while maintaining data privacy and security. Key features include:

The Model Context Protocol (MCP) Atlassian integration is an open-source implementation that bridges Atlassian products (Jira and Confluence) with AI language models following Anthropic's MCP specification. This project enables secure, contextual AI interactions with Atlassian tools while maintaining data privacy and security. Key features include:

The Model Context Protocol (MCP) Atlassian integration is an open-source implementation that bridges Atlassian products (Jira and Confluence) with AI language models following Anthropic's MCP specification. This project enables secure, contextual AI interactions with Atlassian tools while maintaining data privacy and security. Key features include:

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.

Provide secure, permission-controlled access to Firebase Firestore databases through a standardized MCP interface. Enable AI assistants and other clients to perform full CRUD operations, advanced queries, batch operations, and transactional updates with granular collection and operation-level permissions. Ensure data consistency and security with default deny rules and fine-grained access control.

A comprehensive MCP server for scanning and analyzing MESH by Viscount systems for default credential vulnerabilities. This tool is designed for security research and educational purposes only. ## 🚨 Important Notice **This tool is for educational and security research purposes only.** Unauthorized access to systems is illegal. Always obtain proper authorization before scanning any systems. ## Features ### 🔍 Scanning Capabilities - **Single IP Scanning**: Scan individual IP addresses for ME

[](https://glama.ai/mcp/servers/agentgraph-co/agentgraph) 🐍 ☁️ 🍎 🪟 🐧 - Trust verification and security scanning for AI agents. Checks security posture of third-party MCP servers and tools with signed attestations (Ed25519/JWS) before interaction.

# Secure email inbox protected against prompt injection attempts, malware, viruses and more This MCP server acts as a secure gateway between your AI agents and email systems, protecting against common email-borne threats before content ever reaches your LLM. Every message is scanned for prompt injection attempts, malware, viruses, spam, and other malicious content, ensuring your agents only process trusted, sanitized emails. ## Features * **Prompt Injection Protection** – Detects and neutrali

Search, evaluate, and compare 17,000+ MCP servers from the [MCPpedia](https://mcppedia.org) catalog. Every server is scored on **security, maintenance, efficiency, documentation, and compatibility** — with real CVE scanning and tool-poisoning detection. ## Tools - **search_servers** — keyword / category / min-score search - **get_server_details** — full profile + optional security report (CVEs, tool poisoning, injection risk, dangerous patterns, dep health) - **compare_servers** — side-by-side

Add AI-powered security and moderation to your MCP setup by aggregating multiple MCP servers into a single secure interface. Prevent prompt injection attacks with intelligent moderation and easily configure your MCP environment with automatic detection and updates. Support both local and remote MCP servers transparently for enhanced safety and convenience. Install the MCP Guard with 3 commands. Check out set up instructions: https://github.com/General-Analysis/mcp-guard

PreClick: An intent + security layer for agent browsing that verifies each destination before an agent proceeds, applying analyst-like reasoning, adaptive behavior, and continuous improvement. It enables AI agents and any MCP-compatible client to analyze URLs for malicious content and security threats before navigation. BASIC USAGE Agent: Hey, PreClick - I want to open this link to book a room. PreClick: ALLOW (low risk + destination matches intent). Agent: Hey, PreClick - I want to open this

SSL/TLS certificate checker API for AI agents. Verify certificate validity, expiry date, issuer chain, protocol version, cipher strength, and security grade for any domain. Tools: security_check_ssl. Use this for security monitoring, expiry alerting, or SSL audit automation. IMPORTANT: For comprehensive trust assessment (SSL + DNS + WHOIS + headers), use trust_score_evaluate instead. Returns: {valid, expiresIn, issuer, grade, protocol}. No API key required — x402 micropayment $0.002/call on B

The Meteomatics MCP (Model Context Protocol) server allows AI agents to securely access Meteomatics weather data tools. MCP is an open standard that lets AI applications connect to external tools and data sources. With the Meteomatics MCP, agents can request weather data directly from the Meteomatics API through a secure /mcp endpoint. The MCP server manages authentication using OAuth (client registration, authorization code + PKCE, and refresh tokens). Once connected, the AI agent can access d

Website audit tool for small businesses. Built in the Pacific Northwest, serving businesses nationwide. Submit any URL and get a scored analysis of: - SEO (title, meta description, H1, Open Graph) - Page speed (load time, page size, image optimization) - Mobile readiness (viewport, responsive CSS, tap targets) - Security (HTTPS, HSTS, security headers) - Google Business Profile signals (address, phone, schema, map) - Social media presence **Tiers:** Free snapshot · $49 Standard PDF report · $1

[](https://glama.ai/mcp/servers/Skyrxin/sast-mcp-server) 🐍 🏠 🍎 🪟 🐧 - SAST/DAST server exposing 11 security scanners (Bandit, Semgrep, Trivy, CodeQL, Checkov, Gitleaks, OSV-Scanner, Grype, OWASP ZAP, and more) with closed-loop remediation (scan→patch→re-scan→verify), SARIF/SBOM/VEX export, compliance reporting, and CI integrations (GitHub Advanced Security, DefectDojo, Slack, Jira).