"Executing CLI commands" matching MCP servers:

Enables AI assistants to perform over 80 Obsidian vault operations locally via the Obsidian CLI, with a single tool and no network dependencies.

Local-first persistent memory for Claude Code and OpenAI Codex CLI. A single Rust binary captures, distills, searches, and injects project memory across sessions via hooks, MCP, CLI, and localhost REST.

Enables capturing Claude conversations as Obsidian notes and searching the vault from chat, using the Obsidian CLI.

MCP server that connects Claude Desktop to Obsidian vault via the Local REST API plugin, enabling search, read, write, and management of notes plus executing Obsidian commands.

MCP server for ContextKeeper that enables AI assistants to read and modify context items through natural language commands.

An MCP server that enables AI-powered exploration of RDF data and SPARQL querying via RDF4J. It provides tools for executing queries, searching knowledge graph resources, and retrieving schema summaries.

Enables AI assistants across Claude Code, Claude Desktop, Codex CLI, and Gemini CLI to remember and automatically apply user-confirmed behavioral instruction presets, with a trust curve for scheduled re-confirmation and one-command uninstall.

MCP server that enables AI assistants to debug IoT modules by sending AT commands over serial ports, with a built-in knowledge base for chip platform commands.

Provides MCP tools to search, browse, and retrieve unified read-only history from CLI agents like Codex, Claude Code, and OpenCode, with connector discovery and project-folder grouping.

Provides persistent, Markdown-based memory for Kimi Code CLI, enabling cross-session context recovery and structured knowledge management.

Enables interaction with Obsidian vaults through the official Obsidian CLI, allowing note management, search, and vault operations without plugins or API keys.

Provides AI agents with Obsidian vault operations via the official CLI, including reading, writing, searching notes, and managing files, with security and concurrency protections.

Enables AI assistants to programmatically interact with Google NotebookLM, allowing them to create and manage notebooks, add sources, query content, generate audio/video, and perform research tasks through natural language commands.

Read-only MCP server for querying a running Obsidian vault from agentic runtimes, exposing safe Obsidian CLI commands.

Provides AI agents with operational customer context, including typed revenue objects, persistent state, scoped tools, and human-in-the-loop handoffs through MCP, REST, and CLI.

CLI and stdio MCP server for noticed. Exposes ~50 noticed agent capabilities (network search across GitHub + LinkedIn, missions, PRM, memory, workspace, web search, cron, ...) via two meta-tools — search + execute — to any MCP-aware client (Claude Code, Claude Desktop, Cursor, ChatGPT).

Enables LLMs to run complex graph algorithms on Neo4j databases, answering graph-related questions by selecting and executing appropriate parameterised graph algorithms.

Turn repository documentation into deterministic, executable handoffs for coding agents through MCP, CLI, and CI—without an LLM or API key.

Enables AI agents to query version-aware, source-backed knowledge through MCP, using deterministic retrieval, durable research demands, and immutable validated revisions. It provides network and domain-specific guidance without connecting to devices or executing commands.

Enables programmatic control of Obsidian vaults via REST API and MCP server for automation and AI assistant integration.