"NFT documentation and guides" matching MCP servers:

Guides researchers, including those new to BPP, from raw sequence data to a validated control file that has passed a short test run. Wraps BPP command-line tools without running long analyses itself.

Production-ready, zero-knowledge AI DevOps deployment, infrastructure provisioning, self-healing execution, and persistent documentation engine for VPS servers.

Enables AI models to run interactive tmux terminal sessions that a human can watch and type into, with all output logged and split into searchable per-command regions so only needed lines enter context. Also guides models through unfamiliar tools by returning exit statuses and key output alongside advice on the tool being used.

Acts as the 'Hands and Eyes' for an Autonomous AI Agent, bridging Large Language Models and your local development environment to enable safe file manipulation, context reading, command execution, and documentation verification.

Enables AI assistants to natively execute and manage 600+ Kali Linux security, penetration testing, and forensic tools, including search, help documentation, structured scanners, and workspace management.

Enables managing remote hosts from ~/.ssh/config over OpenSSH, including availability checks, command execution with sudo and timeouts, background jobs, SSH config and known_hosts management, and llms.txt-based documentation retrieval.

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.

A Model Context Protocol server that connects Gemini CLI with CoinGecko's API, enabling users to access 46 cryptocurrency data tools including price tracking, market trends, and NFT information through terminal commands.

Enables LLMs to perform Active Directory penetration testing using tools like NetExec, Bloodhound, Nmap, Certipy, and John the Ripper. Automates vulnerability discovery, attack path analysis, and documentation generation for security assessments.

Enables AI agents to fetch Nebius cloud service documentation and execute Nebius CLI commands for managing cloud resources like compute instances and storage buckets through natural language interactions.

Enables running Node.js scripts and npm commands with permission prompts via node-notifier, including server management, script execution with stdin, and npm package documentation fetching.

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.

Turn any CLI tool into an MCP server by leveraging its --help output, enabling natural language interaction with tools like gh, az, git, etc.

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

Enables AI assistants to execute AWS CLI commands and retrieve service documentation through the Model Context Protocol. It supports Unix pipes for output filtering and provides pre-defined prompt templates for common cloud management tasks.

Provides a read-only MCP tool to diagnose zoxide installation and shell setup, returning a JSON report with setup and troubleshooting guides.

A production-ready Model Context Protocol server that provides mathematical calculations, time zone information, and message echoing capabilities through both WebSocket and HTTP endpoints. Built with FastAPI for robust API functionality and interactive documentation.

Enables AI agents to access curated SIP/VoIP documentation, troubleshoot traces, and analyze telecom configurations with 20+ read-only tools.

Enables a Claude Code cloud session to run shell commands inside a chroot jail on your own computer and to call the MCP servers already installed there, with every request authenticated and relayed over a Cloudflare quick tunnel so no router port is opened and no SSH key or tunnel is ever handed to the cloud VM.

Exposes a read-only virtual filesystem over MCP so agents can explore documentation with real shell commands (ls, cat, grep, head, sed) answered from a vector store rather than a disk or sandbox. It also provides a hybrid dense-vector plus BM25 search tool for finding where to look first, with page access governed by group rules.