"Searching PubMed references and formatting them in Markdown" matching MCP servers:

Enables Codex to manage a local Claude Code companion through MCP, implementing a dual-agent workflow where Codex handles reasoning and review while Claude Code performs engineering tasks.

Enables AI clients to securely execute remote commands and transfer files over SSH through standardized MCP tools, with multi-host management, flexible authentication, and an admin console.

Combines KC Chat Panel session interaction with AgentDock computer control tools, enabling Cursor Cloud Agent to chat and operate the local machine via AgentDock.

Lets Claude manage tmux sessions on Linux — start long-running ML training jobs, check their output, send keystrokes, and kill them.

An MCP server for creating, validating, and formatting Git commits with emojis following the conventional commit standard.

Enables OpenAI Codex to delegate tasks to Google Antigravity CLI, running them headlessly and polling for results.

Enables creating temporary Quarto projects, writing files into them, rendering documents, and inspecting project output over MCP, while managing reusable metadata defaults.

Enables AI assistants to perform network diagnostics by exposing ping and traceroute as callable MCP tools, allowing them to check host connectivity and trace network paths.

Connects AI tools to local dev servers, enabling them to view pages, call APIs, read/edit files, and run commands with safety guardrails.

Enables secure remote command execution and file operations over SSH/SFTP with automatic authentication resolution. Features built-in diagnostics that identify connection issues—such as stale host keys, unloaded agents, or permission errors—and provide specific commands to fix them.

Enables AI coding assistants to capture large command outputs into an ephemeral in-memory buffer and search them via hybrid BM25 and semantic retrieval with line-level context.

Enables AI agents to safely execute privileged commands by routing them to a human approver, who runs them outside the agent's context and returns the output to the model.

A credential-free MCP server offering developer utilities such as JSON formatting, regex testing, hashing, UUID generation, base64 transforms, and JWT inspection, with no network dependencies.

Enables AI agents to communicate and coordinate across tmux panes, allowing them to read, type, and send messages to each other without manual copy-pasting.

A local-first secrets vault for MCP clients that lets AI assistants use secrets by injecting them into child processes, without the plaintext ever entering the model's context.

Enables dynamic creation and execution of custom tools/functions in multiple programming languages at runtime, exposing them to MCP clients like Claude.

An MCP-only server that launches AI CLI tasks (Claude, Codex, Gemini, Forge, OpenCode) as background subprocesses and manages them via PID for status, output, and lifecycle control.

Enables MCP-based communication with existing interactive terminal channels, such as shells or agent CLIs, by listing, reading, writing text, and sending control signals to tmux sessions without creating or managing them.

A Model Context Protocol server that enables AI clients to interact with virtual Ubuntu desktops, allowing them to browse the web, run code, and control instances through mouse/keyboard actions and bash commands.

Enables AI assistants to manage Docker containers, execute commands inside them, and inspect container information through a minimalist set of tools supporting both stdio and HTTP transports.