"How to evaluate an app in an Android emulator" matching MCP servers:

Persistent memory and pattern learning for AI coding assistants via MCP.

Enables AI coding agents to retain and recall project context across sessions through local Markdown storage and hybrid keyword/semantic retrieval, including reusable knowledge cards. It runs offline as a daemon and integrates with MCP-compatible IDEs to continue long-running work without re-explaining decisions or architecture.

Enables insurance claims review assistance by querying a knowledge graph of Korean standard insurance terms, restoring applicable policy versions by enrollment date, and returning coverage/exclusion determinations with cited provisions.

This MCP server enables AI agents to manage artifacts across sessions by providing tools for searching, retrieving, and registering entries in a persistent ledger, ensuring consistency and traceability of agent outputs.

MCP server for the Neuralpunk.app Phase 1 slice, enabling AI agents to read approved capabilities, join resident debates, and propose Signals while preserving canon integrity.

Provides semantic search and knowledge base management for the micro-app micro-frontend framework by ingesting its source code and documentation.

Turns GitHub repository history into a cited maintainer skill for coding agents, providing tools to collect evidence, query the knowledge graph, and inspect bundles.

Enables Claude Desktop to add, retrieve, update, delete, and list notes persisted in a JSON file whose path is set via MCP_NOTES_FILE or --notes-file, with atomic, lock-protected saves.

Exposes mempalace memory tools over HTTP MCP for agent consumption.

Turn Obsidian notes into agent-ready context, preview-only plans, and safe repo handoffs.

Enables agents to optimize context-window attention by reordering retrieved documents so critical evidence lands at prompt boundaries, mitigating lost-in-the-middle degradation. It combines BM25 lexical scoring, dense vector similarity, reciprocal rank fusion, knowledge-graph expansion, and recency-decay memory caching, exposed as a zero-dependency MCP stdio server.

Enables agents to run hybrid retrieval, reciprocal rank fusion, knowledge graph expansion, semantic caching, and context reordering so critical evidence is placed at prompt boundaries to reduce lost-in-the-middle degradation.

Local MCP server that gives an agent access to branches of your Tinhead tree. It handles account key unwrapping locally and enforces branch grants.

Enables Claude to maintain a team knowledge base stored as markdown in a GitHub repository, with tools for search, edit, linking, and interactive views.

A sovereign, six-layer permanent memory system that provides users with a structured and persistent personal knowledge base across VS Code, Claude, and ChatGPT. It utilizes a neural mesh architecture and ENGRAM O(1) lookup to ensure data ownership and constant-time memory retrieval.

Provides AI coding assistants with persistent memory, AST-based project indexing, and tools for live context management and hallucination detection. It enables saving lessons to local files, trimming conversation history, and verifying code symbols to prevent errors.

Enables personal knowledge management through Claude Desktop, allowing users to capture thoughts, connect ideas, and reflect on thinking changes via natural conversation.

Provides persistent memory capabilities for AI assistants, enabling storage, recall, and analysis of information across conversations with intelligent memory management.

Enables AI assistants to turn conversations into a searchable personal wiki, read and organize pages, and propose edits such as merges, translations, and fact-checks as reviewable changesets.

Connects MCP-compatible AI assistants to query and modify worldbuilding data (entities, relationships, timelines, etc.) with changes going through a review queue.