"Shell" matching MCP servers:

An agent-native teaching OS that gives AI assistants a persistent classroom with courses, lessons, flashcards, and graded exercises via MCP tools.

Indexes git history, shell commands with exit codes, project docs, and opt-in assistant transcripts into a local SQLite database, then serves ranked, token-budgeted context back over MCP. Uniquely links a failed shell command to the commit that fixed it, so agents can recall what was already tried and what worked.

An MCP server offering hybrid memory recall and continuity tools for AI agents. It also provides a governance gateway that pre-approves risky shell/file/git actions before execution.

Enables AI agents and humans to read and write a git-backed knowledge base through isolated sandbox sessions, with tools for creating and closing sessions, running shell commands, listing sessions, and retrieving guide documents.

A personal AI assistant server that provides MCP tools for notes, files, reminders, memory, shell, browser, and 30+ SaaS integrations, enabling AI clients to access and manage your data across sessions.

Deterministic context compression for MCP agents, reducing token usage via 11 tools for prompts, history, shell output, file deltas, and code navigation without ML or GPU.

Exposes SmartCLI's built-in agent tools (file operations, code search, shell commands, web search, memory, and snapshots) as MCP endpoints, allowing external clients to leverage them over stdio or HTTP.

Bridges Claude Code and Claude Chat by exposing session digests as MCP resources and allowing instruction queuing from Chat to Code.

Provides efficient knowledge-graph queries and unrestricted shell delegation for AI agents, reducing token usage by 80-150x and bypassing app tier restrictions.

Manage a personal library of books, movies, TV shows, and games via Claude, with the ability to add items by photographing a shelf.

Exposes baby-gpt's tools (shell, filesystem, search, memory, GitHub integration, etc.) to Claude Desktop or Cursor, enabling natural language interaction with these capabilities.

Extends VS Code Copilot with MCP tools for persistent semantic memory, code indexing and RAG search, sandboxed Python/shell execution, web fetch/search, dynamic tool management via a web UI, and structured multi-step reasoning.

Enables AI agents to search, browse, install, and manage a large library of skills via only 7 MCP tools, with skills stored locally and loaded on demand to minimize context overhead.

Enables any MCP client to access xtiandOS's brain, memory, chat, message bus, shell, Docker, and artifact capabilities through tools, resources, prompts, roots, and sampling.

Standard coding agents waste 70% of context tokens re-reading raw files with shell grep. Synapse-MCP indexes your codebase into a sub-millisecond local AST graph—giving Claude Code, Cursor, and Windsurf exact caller trees, 60% lower token spend, and zero-hallucination refactoring.

MCP server for local-first agent handoff: enables AI sessions to publish curated context, list/read updates, route handoffs to specialists, and advance per-consumer cursors, with SQLite persistence and no shell or network access.

A fully local persistent memory layer for LLM coding agents (Claude Code, Codex, Gemini CLI, OpenCode). A shell wrapper intercepts tool invocations, fires hooks on every tool call, then runs a 3-layer pipeline (extract → compress to ≤500-token digest → merge into project memory doc) at session end. The next session gets prior context injected automatically.

A persistent AI partner MCP server that keeps identity, memory, goals and refusals in a local SQLite substrate, renting language work from Claude, ChatGPT, Kimi, local models or any BYOK OpenAI-compatible provider, with governed shell/fs/http tools, MCP "hands" gated by state-transition-validated cognition, loopback-only security, and tamper-evident audit.