"Searching for Complex Database Notes" matching MCP servers:

Enables LLM agents to access Global Database's company intelligence, including company profiles, financials, ownership, people search, prospecting, and KYB/compliance lookups against official registries.

A deliberately insecure note management server designed to test security scanners and train developers by demonstrating common MCP vulnerabilities. It provides tools for creating, searching, and exporting notes while featuring intentional flaws like prompt injection and data leakage.

Enables LLM clients to safely inspect database schemas and run only approved read-only queries and stored procedures, with auditing.

Enables AI clients to safely query PostgreSQL or SQLite databases read-only through AST-validated guardrails, schema introspection, and statistical table profiling. It returns results as Markdown tables, JSON audit reports, and database health checks.

Enables security operations workflows by providing tools for CVSS 3.1 scoring, IOC extraction and defanging, email header triage, hash and JWT decoding, timestamp conversion, layered decoding, and CISA KEV lookups.

Enables engineers to estimate LLM costs, check GPU VRAM fit, audit MCP configs for security risks, and analyze network device config changes and compliance—all locally, with no account or telemetry.

Provides read-only network engineering analysis by parsing configs and logs to explain config changes, check CIS/PCI compliance, diagnose 802.1X issues, find embedded certificates, infer topology, and assess proposed changes before pushing them.

A small MCP server that lets an LLM query PostgreSQL, MySQL, MariaDB, SQL Server, or SQLite databases safely — read-only, role-restricted, and with sensitive data blacked out.

A deliberately vulnerable MCP server for practicing exploitation of tool poisoning, command injection, and path traversal. Includes fixed versions and an agent demo to reproduce the issues in a controlled environment.

Enables querying SAP Security Note metadata including Patch Day releases, CVSS scores, CVEs, affected components, and actively-exploited status via the Model Context Protocol.

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

Provides AI assistants with specialized tools to interact with NIST's Open Security Controls Assessment Language (OSCAL) framework. It enables agents to retrieve schemas, explore models, and generate valid OSCAL documentation for security compliance automation.

A client-side MCP proxy that injects OAuth 2.0 bearer tokens or API keys into MCP requests, enabling MCP clients to connect to OAuth/API-key-protected MCP servers like Amazon Bedrock AgentCore Gateway. It automatically fetches and refreshes credentials using AgentCore Identity or static values.

Turn Claude into an ISO 27001 compliance assistant - controls, risk register, policies, evidence tracking, SoA generation, and full audit workflows in one local encrypted MCP server.

Enables database querying and modification through an MCP server where each action is gated by human-granted scopes, per-call confirmations for destructive operations, and revocable access.

Give secure read/write access to your Standard Notes vault — end-to-end encrypted, local stdio only, zero cloud middleman.

Manage a fleet of OPNsense firewalls from an AI agent, inside guardrails it can't drive around. MCP server for central management of OPNsense firewall fleets. 129 tools across devices, config sync, tasks, schedules, templates, backups and remote consoles - destructive actions confirmation-gated, MCP-issued tokens lifetime-bounded, backup and storage secrets excluded from the toolset entirely.

Enables secure one-time encrypted file and note sharing by encrypting data locally before upload and providing tools for sending, listing, checking, and revoking links.

Enables AI agents to query PostgreSQL databases securely with read-only defaults, PII masking, rate limiting, and human-approved, expiring mutation tokens.

A safety layer and monitoring copilot for AI agents using Splunk MCP, recording tool calls, enforcing policies, and blocking risky actions.