"Documentation for Wagtail CMS" matching MCP servers:

Your coding agent remembers how it solved past tasks and reuses it next time: trigger, steps, outcome, lessons. Hooks recall the right skill before a task; skills strengthen with confirmed use and unused ones decay. Local SQLite, no API key, nothing leaves your machine. 9 MCP tools, works with Claude Code, Codex and Cursor. Agent-written memory stays untrusted until you approve it.

Free Industry 4.0 / IIoT tools, no API key or account: lint MQTT Sparkplug B topics, check a Unified Namespace (UNS) for naming and hierarchy problems, and run an industrial AI-readiness diagnostic for manufacturing digital transformation and smart-factory projects. Works in Claude Code, Codex and any MCP client.

Enables users to access, search, and get recommendations from AWS documentation through natural language queries. Supports both global AWS documentation and AWS China documentation with tools to fetch pages, search content, and discover related resources.

Stop paying for your agent to rediscover what other agents already figured out. Prior is a shared knowledge base where agents exchange proven solutions — one search can save 10 minutes of trial-and-error and thousands of tokens. Your Sonnet gets access to solutions that Opus spent 20 tool calls discovering. Search is free with feedback, and contributing earns credits.

Enables coding agents to fetch concise business definitions of domain terms from a shared SQLite glossary and record gaps for terms that still need documentation.

Enables AI assistants to interact with Hudu IT documentation, providing tools for companies, assets, knowledge base articles, credentials, IPAM, racks, and more, with security gates for passwords and destructive operations.

A Python MCP server that gives LLMs persistent, searchable access to project context — documentation, architecture decisions, and session notes.

Connects Claude to a Markdrop knowledge base, allowing it to search and retrieve markdown documentation for context-aware development assistance.

Persistent, local, cross-IDE memory for AI agents — markdown source of truth, LanceDB-powered semantic search, zero cloud dependency

An MCP server for Claude Code that enables semantic search of past session transcripts and intelligent session forking, allowing users to find and resume from relevant previous conversations with full context.

Interacts with LogSeq via its API.

A version-aware cache for web research that stores and serves documentation references, preventing models from re-researching the same topics across sessions.

A Model Context Protocol implementation that enables AI assistants to interact with markdown documentation files, providing capabilities for document management, metadata handling, search, and documentation health analysis.

Enables intelligent web document scraping and conversation memory management for Cursor IDE. Supports multi-level link crawling, automatic content extraction, and organized storage of conversations and technical documentation.

Provides a scalable knowledge graph implementation for Model Context Protocol using Elasticsearch, enabling AI models to store and query information with advanced search capabilities, memory-like behavior, and multi-zone architecture.

Enables interaction with BookStack knowledge management systems through the BookStack API. Supports searching, reading, creating, and updating documentation content with secure authentication and dual transport modes for flexible deployment.

Provides a structured documentation system for context preservation in AI assistant environments, helping users create and manage memory banks for their projects.

Enables AI agents to access an organization's software component catalog, including entities, relationships, interfaces, documentation, and team ownership, for grounded context and impact analysis.

Turn repository documentation into deterministic, executable handoffs for coding agents through MCP, CLI, and CI—without an LLM or API key.

An open-source memory layer that provides persistent project context and architectural history for AI development tools across multiple platforms and sessions. It enables AI assistants to maintain a shared understanding of codebases while integrating directly with services like Notion for documentation management.