Security MCP Servers

- Work with Kagi *without* API access (you'll need to be a customer, tho). Searches and summarizes. Uses Kagi session token for easy authentication.

[](https://glama.ai/mcp/servers/@ark-forge/mcp-eu-ai-act) - EU AI Act compliance scanner that detects regulatory violations in AI codebases with risk classification and remediation guidance.

- A Model Context Protocol (MCP) server with built-in Feishu OAuth authentication, supporting remote connections and providing comprehensive Feishu document management tools including block creation, content updates, and advanced features.

[](https://glama.ai/mcp/servers/Jovancoding/network-ai) - Multi-agent orchestration MCP server with race-condition-safe shared blackboard. 20+ MCP tools: blackboard read/write, agent spawn/stop, FSM transitions, budget tracking, token management, and audit log query. `npx network-ai-server --port 3001`.

Transcription, subtitles, meeting transcripts, translation, audio conversion, and private memory.

[](https://glama.ai/mcp/servers/velvetway/minreestr-mcp) - Search каталогпо.рф (Russian software registry, 26k+ products) for import-substitution and ФСТЭК/ФСБ-certified software discovery. Three tools: full-text search, manufacturer listing, featured products. Ideal for Russian security/compliance teams (152-ФЗ, 187-ФЗ) using Claude.

[](https://glama.ai/mcp/servers/gingugu/gingugu) - Persistent memory for AI coding assistants. Local SQLite, no cloud. 16 MCP tools: store, recall, search, relate, consolidate, export, and credential vault (OS keychain). Typed memories with confidence lifecycle (verified/inferred/stale/deprecated), namespaces, knowledge graph, and hybrid BM25 + semantic search via fastembed ONNX. Works with Cursor, Windsurf, Claude, and any MCP client. `pip install gingugu`

[](https://glama.ai/mcp/servers/chrbailey/promptspeak-mcp-server) - Pre-execution governance for AI agents. Intercepts and validates every agent tool call through an 8-stage pipeline before execution — risk classification, behavioral drift detection, hold queue for dangerous operations, and complete audit trail. 45 tools, 658 tests.

[](https://glama.ai/mcp/servers/runtimeguard/runtime-guard) - Runtime policy enforcement for AI agents - prevents accidental damage to your systems, unauthorized agent access and automates backup-before-write for any touched files.

[](https://glama.ai/mcp/servers/WaveGuard) - Physics-based anomaly detection via MCP. Uses Klein-Gordon wave equations on GPU to detect anomalies with high precision (avg 0.90). 9 tools: scan, fingerprint, compare, token risk, wallet profiling, volume check, price manipulation detection.

[](https://glama.ai/mcp/servers/thelongevityvault/decoder-3am-mcp) - Sleep disruption cause classifier using The Longevity Vault's 5-cause framework. Identifies the biological mechanism behind 3am wakeups from symptom descriptions, with tracked links to the full interactive 3AM Decoder.

[](https://glama.ai/mcp/servers/gautam-u/sieve-mcp) - Local AI chat history secret scanner for macOS. Finds API keys and secrets leaked into Claude Code, Cursor, Copilot Chat, Cline, Codex, Gemini CLI, and other AI tool transcripts. 9 MCP tools: findings list with redacted previews, boolean secret detection (`sieve_check_text`), placeholder-only redaction (`sieve_redact_text` returns `sieve://project/key`, never raw values), vault-backed command execution, and scan health. Local-only stdio transport, macOS Keychain vault, no plaintext secrets in any tool response. [Mac App Store](https://apps.apple.com/app/sieve-ai-secret-scanner/id6747506504).

Security audit for docker-compose.yml — 25 checks: secrets, privileges, network, volumes, images.

- AI-safe secrets manager with MCP integration. Run commands with credentials injected as environment variables - AI agents never see plaintext secrets. Features output sanitization, AES-256-GCM encryption, and Argon2id key derivation.

[](https://glama.ai/mcp/servers/8randonpickart5/alderpost-mcp) - 8 bundled intelligence endpoints (security, company, threat, compliance, sales, sports, property, health) via x402 micropayments on Base.

- Comprehensive Linux server security audit with 89 CIS Benchmark controls, NIST 800-53, and PCI-DSS compliance checks. Real-time monitoring with anomaly detection across 23 analyzers: firewall, SSH, fail2ban, Docker, CVE, rootkit, SSL/TLS, filesystem, network, and more.

[](https://glama.ai/mcp/servers/coreyhines/opnsense-mcp) - OPNsense firewall operations via API. Query ARP, DHCP, firewall rules, logs, interfaces, system status, and packet capture via STDIO or SSE.

[](https://glama.ai/mcp/servers/AgentValet/AgentValet) - Identity and credential governance broker for MCP servers. Issues scoped, short-lived credentials per agent to stop credential inheritance. Audit log, human approval gates, AIMS-aligned.

[](https://glama.ai/mcp/servers/EmblemCompany/Agent-skills) - 200+ crypto tools for AI agents across 7 blockchains (Solana, Ethereum, Base, BSC, Polygon, Hedera, Bitcoin). Swaps, DeFi yield, conditional orders, NFTs, cross-chain bridges, and market intelligence. Hosted MCP at `https://emblemvault.ai/api/mcp` with OAuth 2.0 + PKCE for one-line install in Claude Code, Cursor, Windsurf, and any MCP-compatible client. API key and x402 per-tool-call micropayments also supported.

[](https://glama.ai/mcp/servers/VrtxOmega/omega-brain-mcp) - Omega Brain MCP Server. Hardened AI execution pipeline prioritizing NAEF logic constraints over narrative LLM hallucination. 15 VERITAS Build Gates for uncompromising determinism, semantic vault integration, and Tri-Node Cortex validations.

- MCP Server to do dynamic AI SOC Security Threat analysis for a Text2SQL AI Agent.

[](https://glama.ai/mcp/servers/kent-tokyo/shohei) - Rust infrastructure diagnostics MCP server for AI agents: DNS checks, TLS certificate chain inspection, email security, global DNS propagation, and DNS latency benchmarking.

Zero-config MCP security scanner for AI-generated apps. 25K+ vulnerability patterns.

[](https://glama.ai/mcp/servers/vaulted-fyi/vaulted-mcp-server) - Share encrypted, self-destructing secrets from your AI agent. Zero-knowledge E2E encryption. Agent-blind input sources (env:, file:, dotenv:) keep secrets out of LLM context.