"Automating Page and Interface Testing" matching MCP servers:

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

Enables AI agents to store and retrieve project context, bugs, decisions, and session logs by reading and appending markdown files in a local Obsidian vault, without requiring any cloud services.

Enables Claude and ChatGPT to share a single study-progress database for interview prep, coursework, and spaced repetition, with per-user data isolation and server-side SM-2 scheduling for due reviews and study plans.

Enables researchers to turn property-history questions into reviewable evidence dossiers by gathering sources, tracing people and places, linking conclusions to supporting or opposing passages, and exporting portable backups.

TheWeave is a markdown-native memory architecture for Claude and any MCP-aware agent. Your agent's memory lives as plain .md files you own: a 5-verb MCP core over the vault, query-driven PageRank retrieval, bi-temporal facts (valid_from / valid_until), and a persona-as-vault model. No database and no embeddings server. The files are the memory, inspectable in your editor and versionable in git.

Enables local MCP clients to list, read, write, and search notes in an Obsidian vault via an HTTP server running inside Obsidian.

Enables precise measurement of live HTTP and WebSocket services while maintaining an append-only, evidence-based ledger of claims that agents can query with explicit timestamps, staleness indicators, and instructions for re-verification.

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

Local, searchable project memory for AI coding agents. Markdown source of truth, MCP interface, safe structured updates

Provides an external context buffer so a local model can maintain session memory across long tasks and search and page through large documents without loading them whole into its limited context window.

A long-horizon memory architecture for AI agents, providing a scalable, graph-based memory with causal typing and an MCP interface.

Gives agents a stable interface for durable memory, combining exact, lexical, semantic, and graph search results.

Enables AI agents to explore MySQL database schemas and execute read-only queries through a safe, MCP interface.

Enables AI assistants to interact with Roam Research graphs through comprehensive API access, supporting page/block operations, markdown import, search, memory storage, and complex batch actions for managing knowledge graphs.

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.

Unofficial Notion MCP server built on Notion's private API (token_v2 cookie). Gives LLM agents full read/write access to the entire workspace — no integration token and no per-page sharing.

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.

MCP server for Nextcloud Collectives that exposes collectives, pages, tags, attachments, page history, and trash to Claude and MCP-compatible clients via OCS API and WebDAV.

Enhanced Notion MCP server supporting all 24 property types, auto-pagination, block operations, and markdown conversion for database and page operations.

Enables AI assistants to interact with mem.ai memory through a standardized interface, providing complete API coverage with tools for notes, collections, and memory operations.