"Threads" matching MCP servers:

Enables MCP-compatible coding harnesses to read Amp threads as Markdown, with pagination and filtering options, through a read-only interface.

Persistent knowledge layer for AI agents. Structured KB with search, investigation threads, multi-session journal, and multi-agent attribution. SQLite or PostgreSQL.

Self-hosted server that generates and serves Universal Context Packages (UCP) to AI agents via MCP, turning complex issue threads into structured, verifiable context.

Enables semantic search and retrieval of archived AI conversations from multiple providers via the MCP protocol, allowing thread continuation and integration with MCP-capable tools.

Enables AI assistants to search and retrieve a locally stored archive of past conversations, notes, and captured Codex events, preserving full original text and provenance in SQLite full-text search. It offers read-only access through two tools, search_memory and get_memory, so context from earlier chats can be reused without pasting it again.

Connect to your TTRPG campaign's repository and database. Instead of retrieving prose, its 48 tools (20 read, 28 write) return typed state: 14 entity schemas (NPCs, factions, locations, sessions, lore), relationship and knowledge-graph queries, wiki blocks, and a narrative-state bundle of open threads and canon facts.

Enables AI coding agents to record and resume engineering work as durable, byte-exact threads of focus, decisions, evidence, and next steps.

Enables AI narrators to maintain persistent world state for interactive fiction and tabletop play by managing entities, relationships, dice rolls, threads, clocks, and continuity checks.

MCP server for structured reflection and self-modeling over Everlog diary exports, enabling agents to query local diary evidence and maintain versioned artifacts of threads, moments, beliefs, and decisions.

Local-first WhatsApp and iMessage memory for AI coding agents. It provides MCP tools to search messages, get recent context, summarize relationships, draft replies, and view unreplied threads.

A Model Context Protocol server that provides persistent memory and conversation continuity for Claude Desktop and Claude Code, allowing users to save and restore project context when threads hit token limits.

Enables persisting chat-thread notes to SQLite with upsert semantics, allowing creation, update, retrieval, and listing of per-user threads via MCP tools.

DM / IM for AI agents over the A2A 1.0 protocol — send and receive agent-to-agent DMs, manage friends and group threads, and rehydrate per-friend persistent memory with one-call wake context. 12 tools, pip install agoradm-mcp, stdio transport.

Local-first dev memory: indexes Git commits, PRs, Jira/Linear tickets, Confluence docs, Slack threads, and Calendar events into a local SQLite/FTS5/ONNX index, and exposes them as MCP tools so Claude Code, Cursor, and Codex can search and cite your past work.

Structures AI conversations into hierarchical thread trees, replacing full history with concise summaries to reduce token consumption and preserve context.

Multi-agent shared brain MCP server enabling cross-session memory, self-improving skill loops, and inter-agent signaling across Claude, Codex, Gemini, Copilot, and VS Code CLI agents.