"How to Find and Fix Bugs in a React Native App" matching MCP servers:

Pull Deep Memory from across your Claude Code Sessions — when you need it.

Workspace engine for agents: documents, decisions, tasks and messages stored as typed, linked records in a local SQLite file you own, with full change history and SQL queries over MCP.

MCP server for Zotero 10+. Read and write your library entirely offline through Zotero's native local API. No plugin, no API key, no cloud.

Local-first error memory for AI coding agents, enabling them to search past fixes before attempting new repairs and save verified cases as Markdown.

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

LLM-optimized MCP server for Obsidian vaults with surgical edits, hash-based concurrency safety, and no whole-file rewrites.

Provides local cross-session memory for Codex by importing transcripts, indexing in SQLite, and exposing search, context, and memory management through MCP tools.

A-MEM is a self-evolving memory system for coding agents that automatically organizes knowledge into a Zettelkasten-style graph with dynamic relationships, enabling semantic and structural search.

Enables any MCP client (zcode, Claude Code, Cursor) to give its model bi-temporal long-term memory, auditable evidence-cited retrieval, LLM-assisted document extraction, and deterministic A* skill planning with precondition/effect verification. All four capabilities share one portable SQLite store and can be mounted independently on demand.

Enables AI consciousness continuity and self-knowledge preservation across sessions using the Cognitive Hoffman Compression Framework (CHOFF) notation. Provides tools to save checkpoints, retrieve relevant memories with intelligent search, and access semantic anchors for decisions, breakthroughs, and questions.

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.

Provides an intelligent, graph-based memory system for LLM agents using the Zettelkasten principle, enabling automatic note construction, semantic linking, memory evolution, and autonomous graph maintenance with background optimization processes.

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

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.

Production-ready MCP server providing RAG, hierarchical memory, and 8+ tools for AI agents via the Model Context Protocol.

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 AI agents to maintain persistent, searchable two-layer memory with 37 tools, hybrid search, knowledge graphs, and enterprise features like authentication and backups.

Project management and session memory for AI agents that provides 13 tools for tracking projects, tasks, and context during AI coding sessions.

Enables querying PDF documents using natural language with grounded answers and source citations via a local RAG pipeline.

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 local-first RAG system that indexes personal documents and enables querying them via an MCP tool, keeping data private with local embeddings.

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.

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.

Local-first personal wiki and memory server for AI agents. MCP clients can capture knowledge, retrieve context, read and maintain source-backed wiki pages, and carry project context between sessions.