"Extracting Images from Search Results" matching MCP servers:

Enables semantic search of shell session history, matching user intents to relevant CLI commands for keyboard-first developer workflows.

A powerful MCP server that brings the skills.sh ecosystem directly to your AI agents, enabling effortless discovery, installation, and management of skills.

Enables semantic search of shell session history, matching natural-language intents to past CLI commands, including Warp sessions, for fast keyboard-first command discovery and reuse.

Delegates coding tasks to the locally installed DeepSeek Harness CLI, enabling MCP clients to run prompts through dsh and receive results with exit code and timing.

Developers: Search your zsh, bash, or fish shell history from Claude Code, Cline, Cursor, Zed, or any MCP client using tools like search_history (full-text with timestamp/CWD/exit code), recent_in_dir, failed_commands, and command_chains for multi-step sequences. Reindex after new activity. Local-only SQLite FTS5 with secrets redacted before storage.

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

Enables running SPICE netlists with ngspice in batch mode and returning .meas results as JSON.

Enables AI agents to securely access and manage passwords from a gopass store via four tools: list, retrieve, search, and generate passwords.

Provides AI coding assistants with context optimization tools including targeted file analysis, intelligent terminal command execution with LLM-powered output extraction, and web research capabilities. Helps reduce token usage by extracting only relevant information instead of processing entire files and command outputs.

An MCP server that wraps Flutter CLI tools into structured, agent-friendly tools for AI coding agents, with features like two-phase test results, output capping, and managed app lifecycle.

Lets ChatGPT, Claude Desktop, Claude Code, and other MCP clients run an allowlisted set of local commands and read files from a chosen directory, so an assistant can analyse a codebase or trigger local generators (images, sprites, assets) without metered API tokens. The server is read-only and deny-by-default by default, with no shell, path containment, opt-in writes, and required auth when exposed over HTTP.

Enables AI assistants to execute SQL queries against any database supported by the usql CLI tool. Provides seamless database interaction through MCP by forwarding queries directly to usql and returning results in JSON or CSV format.

Enables users to interact with container registries through the ORAS CLI, providing information about container images, platforms, and signatures via natural language queries.

Enables AI assistants to manage Portainer container environments through natural language, including deploying stacks, managing containers, images, volumes, networks, and executing commands.

Voice-driven CFD MCP server that enables natural language setup, execution, and analysis of OpenFOAM simulations, with results exportable to ParaView.

Enables AI to present options and launch an interactive web or terminal interface for user selection, then return the results to the AI.

Enables AI agents to drive OpenFOAM end to end: cloning tutorials or custom cases, editing dictionaries, meshing and running solvers in the background, tracking convergence and job status, and analyzing results. It also renders flow images — slices, patches, streamlines, iso-surfaces and residual or force plots — back to the agent.

Enables AI assistants to delegate complex tasks to the local Gemini CLI, returning structured results with execution metadata.

A Model Control Protocol server that provides access to nmap network scanning functionality, allowing users to run customizable scans, store results, and analyze network security using AI prompts.

Enables file and directory searching through the greply CLI tool with configurable search options like context lines, case sensitivity, and pattern matching. Provides direct access to powerful grep-like functionality from MCP-compatible clients.

A Model Context Protocol (MCP) server that lets you seamlessly use OpenAI's models right from Claude.

Provides powerful text search capabilities using the grep command-line utility, allowing users to search files and directories using both natural language descriptions and regex patterns.

MCP server that exposes Podman host management as tools, allowing natural language control of containers, images, volumes, networks, and pods. Includes an administrative console with safety profiles for gated access.

Provides Claude with direct access to the Open Porous Media (OPM) reservoir simulation stack, enabling running simulations, inspecting results, and automating workflows via natural language.

A CLI command execution server that enables running shell commands with structured output, providing detailed execution results including stdout, stderr, exit code, and execution duration.

Enables AI assistants to manage Docker containers, images, networks, volumes, and Docker Compose services through the Model Context Protocol.

Enables natural-language automation of LS-PrePost preprocessing and postprocessing by exposing tools that build and verify shell meshes, query nodes, parts and connectivity, run native commands, SCL and in-application Python, and read d3plot/binout results through pluggable backends. Every job runs in its own directory and returns an ID, status, log and artifacts, so results stay traceable and failures are never silently reported as success.

Enables AI coding agents and MCP clients to run a read-only environment check against a project's declared requirements and receive structured results identifying exactly what needs fixing.

Enables natural-language execution and authoring of PnP PowerShell commands and scripts, including chaining cmdlets and searching community script samples. Supports managing Microsoft 365 services such as SharePoint Online, Teams, Entra ID, OneDrive, Planner, Power Platform, Groups, taxonomy, search, and tenant administration from an MCP client.

Enables AI agents to drive 5250 screens, read, search, edit, and compile IBM i source members over SSH, and learn enterprise data structures and workflows from knowledge packs.