"General context or information search" matching MCP servers:

A Model Context Protocol (MCP) server that provides VSCode context and filesystem operations for AI assistants.

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.

A server that manages conversation context for LLM interactions, storing recent prompts and providing relevant context for each user via REST API endpoints.

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

A lightweight service that enables AI assistants to execute AWS CLI commands through the Model Context Protocol (MCP), allowing AI tools to retrieve AWS documentation and interact with AWS services.

Connects AI assistants to a Kali Linux terminal for executing security tools, managing interactive shell sessions, and performing penetration testing, CTF challenges, and security research tasks.

An MCP server that folds function and class implementations into structural skeletons while preserving signatures, interfaces, and docstrings, reducing tokens by up to 90%+ for AI agents. Exposes tools to get repository skeletons, unfold specific symbols on demand, and retrieve exact token and prompt cost savings metrics.

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.

A minimal MCP server that exposes a single tool to query local hardware information (OS, CPU, memory, architecture).

An MCP server that intelligently filters and compresses tool outputs to reduce context window usage, saving up to 90% of tokens by removing noise such as passing tests and redundant information.

A Model Context Protocol server that exposes a MeshCore node and the mesh reachable through it as a clean, high-signal interface for AI agents or tools.

A Model Context Protocol (MCP) server that provides a bridge to Anthropic's Claude CLI. It allows MCP-compliant clients like Claude Desktop or Gemini to start new chat sessions or continue existing ones.

Provides Ubuntu system information (CPU, memory, disk, network, services, processes) to Bob via natural language queries.

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

A Model Context Protocol (MCP) SSH client server that provides autonomous SSH operations for GitHub Copilot and VS Code. Enable natural language SSH automation without manual prompts or GUI interactions.

Provides deterministic system information and developer utilities including date/time operations, OS details, math calculations, random data generation, hashing, text formatting, data validation, encoding/decoding, and log analysis.

Enables AI clients to execute Windows commands, manage files, query system information, and perform code checks via MCP protocol.

Enables remote control and automation of Android devices through the Model Context Protocol, supporting UI interactions, app management, ADB commands, screenshots, and device information retrieval via AutoBot API.

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.