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MCP server for FreshBooks API integration

A hosted Model Context Protocol server that enables searching, retrieving, comparing, and finding alternatives for over 1,100 AI tools from the AISOTools catalog, with pricing, ratings, and source links.

MCP Server CLI enables AI assistants to execute shell commands and scripts securely through a standardized interface. Built by hdcola, it leverages the Model Context Protocol SDK to create a simple server that runs on stdio, allowing commands to be executed with proper output handling for both standard output and error streams. The implementation is written in TypeScript and packaged as an npm module that can be installed globally, making it particularly valuable for workflows requiring system automation, file manipulation, or integration with command-line tools without leaving the conversation interface.

A comprehensive Google Ads MCP server providing ~47 tools for full read/write access to Google Ads accounts, including campaign management, ad creation, keyword management, and reporting.

Your strength-training data for any AI assistant: workouts, progress, muscle volume, routines.

Persistent memory and handoff intelligence layer for MCP agents. Most memory servers retrieve text — Memory Nexus compounds operational context, learning from usage and progressively synthesizing observations into higher-order intelligence across sessions and tools.

GovTrack MCP — federal US Congress data (free, no auth)

Memori provides SQL-native memory infrastructure that continuously captures interactions, extracts structured knowledge into facts, preferences, rules, and summaries, and intelligently retrieves relevant memory. The MCP server exposes recall and advanced augmentation tools that maintain context across sessions, reducing prompt tokens by over 95% compared to full-context approaches. Evaluated on the LoCoMo benchmark with 81.95% accuracy while using only 4.97% of full-context tokens.

innernote for Claude Code: draft, save and queue LinkedIn posts in your own voice.

Provides AI assistants with 6 tools to access Material UI component documentation, enabling consistent and well-designed React application development.

System resource monitoring that detects wasteful or suspicious processes.

Enables interaction with a PostgreSQL database via MCP, using Docker and NestJS for AI-powered database operations.

Provides access to UK Environment Agency's real-time flood monitoring data, enabling users to check flood warnings, monitor water levels and flow rates, and access historical measurements from monitoring stations across the UK.

Hawaii mortgage & VA loan expertise for Honolulu. 2026 loan limits, condo rules, FAQ.

A lightweight MCP server that converts LaTeX mathematical expressions to MathML using MathJax-node, providing both tool-based and resource-based conversion methods. Developed by happyan, this server enables easy integration of mathematical notation translation for developers and researchers working with scientific or technical documentation.

Insider political trading signal detection — this MCP server applies six institution-grade statistical algorithms to congressional stock disclosures, SEC insider filings, campaign finance records, and federal contract data, and returns scored findings to any MCP-compatible AI client in real time.

Read-only MCP server for Woodpecker CI that allows AI agents to check pipeline status and retrieve step logs across multiple self-hosted instances.

MCP server for statistical baselines — detect anomalous values

This NetBox MCP server provides the first read-write Model Context Protocol implementation for NetBox infrastructure management, enabling AI assistants to perform full CRUD operations on network infrastructure data through NetBox's REST API. Built by alexkiwi1 using FastMCP and featuring comprehensive coverage of NetBox object types (DCIM, IPAM, Circuits, Virtualization, Tenancy, VPN, Wireless), it offers 9 tools for individual and bulk operations including object creation, updates, deletion, filtering, and changelog access with proper error handling and security practices. The implementation includes an extensible client architecture with both REST API and abstract base classes for future ORM integration, making it ideal for network engineers and infrastructure teams who need AI-assisted NetBox management capabilities for device provisioning, IP address management, circuit tracking, and automated infrastructure documentation workflows.

Run long-running coding agents (Codex, Claude Code, etc.) in tmux sessions that survive orchestrator restarts.