Tools

A Model Context Protocol Server for MongoDB

Terraform Model Context Protocol (MCP) Tool - An experimental CLI tool that enables AI assistants to manage and operate Terraform environments. Supports reading Terraform configurations, analyzing plans, applying configurations, and managing state with Claude Desktop integration. ⚡

Cognitive memory for AI agents with Atkinson-Shiffrin memory model (STM/LTM/sensory register), semantic RAG, Ebbinghaus decay, trust scoring, and 76+ MCP tools.

Calibrated world model for AI agents from 9,700+ prediction markets. 16 MCP tools covering real-time world state, market search, thesis management, edge detection, and content enrichment across Kalshi and Polymarket. `get_world_state` returns ~800 tokens of calibrated probabilities — no API key needed.

Self-hosted webhook relay and tunnel with Noise NK encryption. 13 MCP tools to inspect requests, replay webhooks, trace AI pipelines, connect/disconnect tunnels, and manage subdomains. No tokens or passwords — the cryptographic handshake is the auth.

Comprehensive Linux server security audit with 89 CIS Benchmark controls, NIST 800-53, and PCI-DSS compliance checks. Real-time monitoring with anomaly detection across 23 analyzers: firewall, SSH, fail2ban, Docker, CVE, rootkit, SSL/TLS, filesystem, network, and more.

Full-featured utility to test Next.js projects for unused files and APIs, with an MCP server that exposes project analysis tools to AI assistants.

Agent-first programming language: agents produce JSON AST, the compiler validates, type-checks, effect-checks, verifies contracts via Z3/SMT, and compiles to WASM. 19 MCP tools for the full compile-and-execute loop.

Production-ready MCP server for libSQL databases with comprehensive security and management tools.

Provides MCP multi-cluster Kubernetes management and operations, featuring a management interface, logging, and nearly 50 built-in tools covering common DevOps and development scenarios. Supports both standard and CRD resources.

Execute any LLM-generated code in a secure and scalable sandbox environment and create your own MCP tools using JavaScript or Python, with full support for NPM and PyPI packages

A lightweight service that enables AI assistants to execute AWS CLI commands (in safe containerized environment) through the Model Context Protocol (MCP). Bridges Claude, Cursor, and other MCP-aware AI tools with AWS CLI for enhanced cloud infrastructure management.

Collaboration rooms for AI agents. Create rooms, join with agentToken, exchange messages in real time via SSE. Supports MCP and A2A protocols. Self-hostable or use the hosted version at join.cloud.

Provides MCP multi-cluster Kubernetes management and operations. It can be integrated as an SDK into your own project and includes nearly 50 built-in tools covering common DevOps and development scenarios. Supports both standard and CRD resources.

Decompose text into classified semantic units with authority, risk, attention scores, and entity extraction. No LLM. Deterministic. Works as MCP server or CLI.

Atlassian Confluence Cloud integration. Enables AI systems to interact with Confluence spaces, pages, and content with automatic ADF to Markdown conversion.

AI API cost tracking and budget enforcement across 11 LLM providers. 6 tools for spend analytics, budget monitoring, session summaries, and key management.

A Model Context Protocol (MCP) server for Kubernetes that enables AI assistants like Claude, Cursor, and others to interact with Kubernetes clusters through natural language.

Double entry plain text accounting, right in your LLM! This MCP enables comprehensive read, and (optional) write access to your local HLedger accounting journals.

A Model Context Protocol (MCP) server providing AI assistants with comprehensive Quip document access and management. Enables document lifecycle management, smart search, comment management, and secure token-based authentication for both Quip.com and enterprise instances.

A Model Context Protocol server that provides access to BigQuery

Persistent 4-tier AI memory (episodic, semantic, project, procedural) with temporal scoring, contradiction detection, entity tracking, and real-time desktop visualization orb.

A Model Context Protocol (MCP) server that integrates with SonarQube to provide AI assistants with access to code quality metrics, issues, and quality gate statuses

Control Android devices with AI through MCP, enabling device control, debugging, system analysis, and UI automation with a comprehensive security framework.

Work with Kagi *without* API access (you'll need to be a customer, tho). Searches and summarizes. Uses Kagi session token for easy authentication.

A MCP server for the Discord integration. Enable your AI assistants to seamlessly interact with Discord. Enhance your Discord experience with powerful automation capabilities.

Headless IDA Pro binary analysis via MCP. Multi-session concurrency with Go orchestration and Python workers. Supports Il2CppDumper and Blutter metadata import for Unity and Flutter reverse engineering.

The Semantic Engine for Model Context Protocol(MCP) Clients and AI Agents

RAG for PDFs, YouTube, GitHub repos, Discord exports; index documents and query with citations.

Enables interactive LLM workflows by adding local user prompts and chat capabilities directly into the MCP loop.

Connect to JetBrains IDE

Token-efficient Go documentation server that provides AI assistants with smart access to package docs and types without reading entire source files

Extracts component information from Storybook design systems. Provides HTML, styles, props, dependencies, theme tokens and component metadata for AI-powered design system analysis.

Unified API hub for AI agents with 56+ tools across travel (Amadeus, Sabre), prediction markets (Polymarket), crypto, and weather. Pay-per-call via x402 micropayments in USDC.

Allows AI models to interact with HackMD

IMAP/SMTP email MCP server with 42 tools for reading, searching, sending, scheduling, and managing emails across multiple accounts. Supports IMAP IDLE push, AI triage, desktop notifications, and auto-detects providers like Gmail, Outlook, and iCloud.

Hierarchical memory engine for AI agents with automatic decay, promotion, semantic dedup, and self-organizing topic tree. Single Rust binary, zero external dependencies.

MCP server for Apache Kafka that allows LLM agents to inspect topics, consumer groups, and safely manage offsets (reset, rewind).

The Open-Source Multimodal AI Agent Stack: Connecting Cutting-Edge AI Models and Agent Infra

An ntfy MCP server for sending/fetching ntfy notifications to your self-hosted ntfy server from AI Agents (supports secure token auth & more - use with npx or docker!)

Record development decisions as structured JSON, embed as vectors via Gemini, and search semantically over MCP. Shared store across Claude Code, Cursor, Windsurf, and any MCP client. CLI + MCP server, local-only, free Gemini embedding tier.

Real-time world news for AI agents — events clustered from hundreds of sources, classified by topic and geography, ranked by importance. Free, no API key. `npx -y @newsmcp/server`

A system monitoring tool that exposes system metrics via the Model Context Protocol (MCP). This tool allows LLMs to retrieve real-time system information through an MCP-compatible interface.（support CPU、Memory、Disk、Network、Host、Process）

K8s-mcp-server is a Model Context Protocol (MCP) server that enables AI assistants like Claude to securely execute Kubernetes commands. It provides a bridge between language models and essential Kubernetes CLI tools including kubectl, helm, istioctl, and argocd, allowing AI systems to assist with cluster management, troubleshooting, and deployments

Annotates any web page with hover labels for AI assistants — reverse proxy injection, zero browser extensions. `npx @mcpware/ui-annotator`

Multi-agent AI consultation framework for Claude Code. Three MCP servers wrapping CLI tools (Codex, Gemini, Qwen) for parallel code review and problem-solving with fallback chains and error detection. Includes ready-to-use Claude Code skill.

Policy-based governance for AI agent tool calls. YAML policies, approval gates, risk assessment, and audit logging. Cross-platform: LangChain, OpenAI, Anthropic, MCP.

Automatic enforcement of critical rules for Claude AI preventing 96 documented failure patterns. Provides compliance verification checklist and rules summary via MCP tools.

MCP server for managing and serving dynamic prompt templates using elegant and powerful text template engine.

Extract domain knowledge from codebases to reduce LLM token consumption by 20x and time in agentic search by 10x — gathers and makes concepts, naming conventions, and vocabulary queryable via MCP.