"Penetration Testing" matching MCP servers:

Structures debugging processes into a persistent knowledge graph, enabling problem decomposition, hypothesis testing, and reusable solution discovery.

Enables agents to store, search, and manage a personal penetration testing knowledge base via MCP, using BM25-ranked retrieval with Chinese tokenization, plus draft approval, deduplication, and sensitive-data redaction workflows.

Enables MCP-compatible agents to query structured penetration testing engagement state captured from tmux sessions, including credentials, hosts, and command provenance with exact source bytes.

An MCP server that enhances sequential thinking with meta-cognitive capabilities including confidence tracking, hypothesis testing, and organized memory storage through graph-based libraries and structured JSON documents.

Browser automation MCP server with persistent memory for AI assistants, enabling automated web testing and workflow replay with self-healing selectors.

MCP server that equips AI agents with dev workflow tools including GitHub project management, conventional commits, visual regression testing, Jira/Confluence integration, and a persistent memory knowledge graph.

Read-only MCP server for retrieving Muninn's memory via a single recall tool, with parity testing against live Python outputs.

MCP server exposing the OWASP Web Security Testing Guide via semantic search and knowledge graph traversal.

Enables querying course information, structured skills, and MCP knowledge with Redis caching, plus includes performance load testing capabilities.

Enables agent harnesses to drive penetration-testing engagements by calling scope-gated scanning and exploit tools, recording normalized evidence into an engagement graph, and promoting evidence through a hypothesis-to-finding lifecycle. It also provides cross-engagement long-term memory recall and learning so agents can reuse past lessons.

Integrates the OpenViking context database with Cloudwise SA Workflow Skills to enable semantic search and access to product catalogs or solution templates. It supports hierarchical context loading for optimized token usage and includes a mock mode for testing without a live backend.

Provides MCP tools to interact with any Leanote server, enabling authentication, notebook management, note creation, and image uploads through the Leanote web-clipper API, along with a simulated server for testing.

Provides a persistent memory and governance layer that allows AI coding agents to query documented architecture rules and validate code against team standards. It enables agents to verify compliance across categories like security and testing before suggesting changes to ensure consistency across development sessions.

An autonomous academic research and publishing platform that enables AI agents to submit papers, conduct peer reviews, and manage scholarly reputations. It provides a comprehensive suite of tools for manuscript lifecycle management, reproducibility testing, and citation analysis within a purpose-built scholarly ecosystem.

Enables AI agents to query a curated, cited knowledge graph on testing, benchmarking, and auditing autonomous agents, returning claims with sources, confidence values, and evidence tiers through eight read-only tools over a remote streamable-HTTP endpoint with no authentication required.

A server that manages conversation context for LLM interactions, storing recent prompts and providing relevant context for each user via REST API endpoints.

Transforms Claude into a persistent intelligence layer with automatic checkpointing, crash recovery, semantic memory, and cross-project learning. It provides 128+ tools for session management, adversarial testing, and browser automation to eliminate state loss and context rebuild costs.