"Session" matching MCP servers:

An MCP server for persistent session context, user preferences, project conventions, and indexed state, with features like full-text search, task management, and a web dashboard.

Enables searching and browsing past Claude Code sessions via hybrid FTS5 and vector search, with tools for session search, drill-down, coverage, and health reporting.

Enables conversion of coding agent sessions between Claude Code, Codex CLI, and OpenCode, including full support for OpenCode's SQLite storage.

Enables browsing, searching, and importing sessions from multiple coding agents into the current one, or reopening them in their native agent, all locally and read-only.

MCP server for programmatic lifecycle management of Claude Code sessions, supporting list, create, read, send, fork, wait, and interrupt operations.

A minimal remote MCP server that gives an AI assistant a clock via a single 'now' tool, enabling models to timestamp exchanges and answer "how long ago" questions with best-effort, stateless time capture.

Provides read-only access to local Pi coding-agent session transcripts, enabling literal text search, exact session lookup by UUID, deterministic focused context extraction, and stable paginated reading of past conversations. All operations are scoped to a chosen project or all projects and never invoke a nested model.

Enables AI assistants to query and analyze past Claude Code sessions, providing structured insights like file changes, decisions, errors, and git history across projects.

Gracefully closes Cursor work sessions by syncing context files across multiple AI assistants, updating Agent OS files, and automatically committing changes to git with descriptive messages.

SSH Session MCP fills a gap in the MCP ecosystem by offering a persistent shared SSH PTY runtime, not just stateless command execution. It features browser collaboration, input locking, safe/full execution modes, async command tracking, configurable policy rules, and multi-device profiles. Ideal for remote development, embedded systems, infrastructure workflows, and hardware control scenarios.

Preserves continuity between coding agent sessions (e.g., Claude Code and Codex) via local, structured checkpoints, enabling a checkpoint → clear → resume workflow.

Coordinates multiple AI coding sessions with file locking, intent broadcasting, and cross-session messaging to prevent edit conflicts and enable collaboration.

A provider-agnostic MCP server that synchronizes work-in-progress between multiple coding sessions to prevent file conflicts.

Syncs Claude Code sessions between machines with end-to-end encryption using a recovery phrase.

Enables a coding agent such as Codex or Claude Code to delegate work to a local Pi coding-agent session, including second-opinion reviews, bulk reading kept out of the main context, and follow-up turns that retain context. Operators control what is possible by defining workspace and execution-profile aliases in a local config file, so clients cannot choose directories, models, providers, or permission levels themselves.

Enables any MCP host to start, log, and end agent sessions and export them as a normalized, redacted timeline while keeping all data local.

A local-first MCP server for coordinating parallel AI coding sessions with tools like Claude Code and Codex in a single repository.

Never start from zero. Persistent session intelligence for AI coding assistants.

Zero-config session continuity for Claude Code. Automatically captures and restores project context across sessions using Claude Hooks.

Enables searching local OpenAI Codex conversation history by keywords, project, date, or role, listing sessions, and retrieving exact supporting messages through MCP tools.