A Model Context Protocol (MCP) server for MongoDB operations, enabling AI assistants to interact with MongoDB databases through a standardized interface.
Free seven-tool proof loop for MCP agents: scoped sessions, bounded authorization, typed outcomes, evidence-bound claims, and tamper-evident local closure. Upgrade to Complete Local for durable memory, recovery, signed traces, release verification, and multi-agent workflows.
Retired snapshot of the former 15-tool Apache-2.0 beta. Use Living Stack Community for the free seven-tool proof edition; Complete Local is the paid runtime with memory, recovery, signed traces, release verification, and multi-agent workflows.
A local MCP daemon that turns an agentic coding client into a bug bounty operator, with 103 tools for offensive security testing including MITM proxy, traffic analysis, and OOB callbacks.
An autonomous MCP server that enables LLMs to intelligently query and analyze MongoDB databases by reverse-engineering schemas, proving relationships, and enforcing security safeguards like PII masking and query limits.
Enables AI assistants to perform password security auditing using John the Ripper on a remote Kali system via SSH, supporting cracking, hash management, and session control.
Enterprise-grade code intelligence server for AI assistants that analyzes codebases for due diligence, tech debt, security vulnerabilities, and code quality.
Living off the Land intelligence for AI agents. GTFOBins, LOLBAS, LOOBins, LOLDrivers, LOLRMM, WADComs, LOLC2 and more — unified into a single MCP server.
Enables authorized web/API security analysis as a stateful, multi-stage workflow with persistent session state, human-controlled validation, candidate versus confirmed finding tracking, and stop conditions.
A verifying MCP gateway that pins approved tool manifests and skill files to content addresses, blocking tampered descriptions before they reach model context.
Enables autonomous agents and MCP-compatible clients to enforce policy-approved actions using risk tiers, reversible checkpoints, and token approval bounds.
Enables agents to audit and safeguard repositories by detecting dependency pinning issues, license compliance problems, hardcoded secrets, and dead code through MCP tools.
MCP server for AI agent identity — verify agents with Ed25519 signatures, check trust scores, sign and verify content, exchange encrypted messages. Built on the Agent Identity Protocol (AIP).
Enables users to query BloodHound Active Directory graph data using natural language, finding attack paths, Kerberoastable accounts, and other AD security insights.
Enforces a deterministic execution boundary where protected side effects occur only after a separate, single-use authorization condition is satisfied, preventing untrusted or nondeterministic producers from causing actuation without explicit consent.
Enables AI agents to scan, redact, and govern sensitive data before sending it to external tools through DLP, secure chat, and shadow AI discovery tools.
A production-shaped starter for putting an MCP server in front of an existing app, with OAuth and enterprise SSO handled through Clerk, enabling AI assistants to act on your product on behalf of logged-in users.