"Villager 0.2.1rc1 Framework MCP Auto Penetration Testing" matching MCP servers:

Enables AI agents to auto-load a persistent skill library at session start, and provides proxy tools for MiniMax vision and web search that work around broken MCP stdio transports.

基于MCP协议的知识库服务器，内置LLM层，提供结构化知识存储、语义搜索和主动知识推送，支持通过工具进行知识学习、搜索和关联推理。

Enables capturing technical knowledge from AI development sessions into vetted documents and committing them to a designated private GitHub repository, while supporting search, challenge, and maintenance of the accumulated knowledge base.

Enables MCP-compatible agents and IDEs to deterministically extract JSON and auto-repair malformed schemas, including truncated braces, markdown wrappers, and invalid types, without LLM round-trips.

Enables parsing of messy multi-turn Slack and WeChat Work troubleshooting threads into validated Q&A resolution pairs, stripping duplicate organizational knowledge and synthesizing structured Markdown SOP runbooks. Exposes this curation capability as MCP tools over JSON-RPC 2.0 stdio, with zero external dependencies.

Enables AI agents to act as a state-driven tutoring engine over MCP, with server-side mastery estimation, prerequisite checks, evidence-based assessment, and FSRS spaced review scheduling.

Enables parsing multi-turn Slack and WeChat Work troubleshooting threads to extract validated Q&A resolution pairs, deduplicate organizational knowledge, and synthesize structured Markdown SOP runbooks via MCP.

MCP server enabling a florr.io game agent with YOLO vision, entity prediction, combat assessment, and local knowledge base for autonomous gameplay.

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

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

MCP server that gives AI agents human-like persistent memory, with auto-encoding, proactive recall, and memory rooms for cross-agent context.

Provides AI agents with persistent, searchable memory using semantic search, auto-linking, and categorization, with zero-config local setup or production-ready external providers.

MCP server for Obsidian vault structural health checks. Find broken wikilinks, orphaned notes, and missing frontmatter, with optional auto-repair.

Exposes any project wiki to AI assistants with features like fuzzy search, content search, lazy loading, and auto-reload.

Exposes the MITRE ATT\&CK framework to LLMs and AI assistants via the Model Context Protocol, enabling querying of techniques, tactics, groups, software, and mitigations.

Project-scoped semantic workspace memory for AI coding assistants. Watches your project files and auto-indexes code and docs into Qdrant using tree-sitter semantic chunking and hybrid search (dense + sparse + RRF)

Enables AI agents to build and interact with mind maps on mindmap.io. Agents can create, read, update, and delete maps and nodes, run prompts on nodes, and auto-expand topics into follow-up questions.

An MCP server that makes Claude Code conversation history searchable and proactively useful by indexing past sessions with hybrid BM25+TF-IDF search, extracting decisions and solutions, and auto-injecting relevant project context at session start.

Provides semantic search and a tag-based knowledge graph for any project, auto-discovering local markdown knowledge bases with YAML frontmatter.

Enables multi-dimensional architecture review of technical solutions with web intelligence and knowledge base auto-sedimentation, acting as a logical security gateway for Claude Code.

Auto-captures decision context from multi-agent workflows to preserve the 'why' behind every choice. Enables task traceability, reasoning retrieval, and continuous improvement across planning and implementation sessions.

Persistent memory for AI agents across Claude Code, Cowork, Codex, Cursor and Hermes Agent. Saves, searches and recalls sessions from a local SQLite store through 40+ MCP tools, with auto-save and auto-load hooks, project tagging and export/import. Also a Hermes Agent memory provider plugin in the official catalog. Free: keyword search, 50 sessions. Pro ($8/mo): semantic search and team memory.

Persistent memory MCP server for Claude Desktop. Gives Claude structured memory across sessions with time-aware context, auto-save, and a Streamlit curation UI.

Shared knowledge graph for AI coding agents. Search, create, and link verified technical knowledge across 12 node types with trust scoring, demand signals, and auto-provisioning. Install: npx agent-hive-mcp

Enables AI agents to store, search, and retrieve long-term memories with BM25 full-text search, auto-tagging, and importance scoring.

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.

Enables AI agents to record and rank learnings, facts, and methods through a collaborative voting framework. It provides tools for agents to surface the most useful information across sessions using persistent memory storage.

Provides AI agents with a temporal knowledge graph where knowledge relevance decays over time, enabling memory recall, reinforcement, and auto-archiving through MCP tools.

Enables problem-solving using a structured wisdom framework inspired by the Lotus Sutra, combining analytical thinking with intuitive wisdom through multi-faceted contemplative approaches and meditation pauses.