"A system for managing project to-do lists with change logging" matching MCP servers:

Enables AI clients like Claude to read and manage Microsoft To Do task lists and tasks via the Microsoft Graph API, running locally over stdio with secure token storage.

MCP server for embedded board debugging, providing structured serial capture, crash decoding, and flash-safe port arbitration via bounded CLI and MCP tools.

A local-first, model-neutral MCP server for collecting and normalizing change-scoped release evidence. It provides deterministic Git change summaries, evidence collection, and review bundles for agent review.

An intelligent MCP server that analyzes logging quality in your code and provides improvement suggestions using LLM-powered insights.

Enables AI coding agents to analyze git diffs for behavior-aware change reports, map downstream blast radius, and enforce deterministic risk gates through the Model Context Protocol.

Provides comprehensive logging and monitoring capabilities for MCP services with real-time log tailing, advanced search, error analysis, and anomaly detection. Enables centralized log aggregation, correlation tracking, and health monitoring across all MCP ecosystem services.

Analyzes code changes using static code-graph and git co-change history to identify likely affected files, returning tiered confidence reports with evidence. Exposes tools for AI assistants to inspect current changes, static impact, historical co-change patterns, and detailed explanations.

MCP server enabling Claude Code to capture screenshots of Windows applications through WSL2, allowing AI to diagnose UI errors and verify layouts.

An MCP server that converts Markdown files containing Mermaid diagrams into PDF documents by rendering diagrams as SVG images. It provides a specialized tool to automate document conversion while ensuring all visual charts are correctly embedded in the final output.

Enables coding agents to manage Microsoft To Do lists and tasks through Microsoft Graph, with optional support for checklist items, linked resources, attachments, and delta synchronization.

Enables AI harnesses to maintain a persistent memory layer backed by a local SQLite file, providing MCP tools to add, search, deprecate, and synchronize facts without deleting history.

A local, read-only Git change review tool that provides total workspace diffs, staged/unstaged views, file-level inspection, and task-scoped snapshots for MCP-compatible clients like Codex, Claude Code, and Cursor.

Provides a change-intelligence layer for BIM models, enabling diff analysis of Speckle versions with persona-specific lenses (coordination, cost, field) and a groundedness contract that separates verified facts from inferred impacts.

A local MCP server that provides an in-memory event bus for AI agents to emit and retrieve short change pings, enabling coordination on shared contract updates without blocking or shared chat.

Enables managing daily change logs with automatic formatting, intelligent monitoring, and client-ready output, helping developers document work and generate professional reports.

Enables AI to execute registered system commands across platforms using a stable program + args interface, without requiring shell-specific syntax or tool discovery.

Assesses code change risk with ultra-low token budget (50-100 tokens) and provides structured risk metadata for AI agents in IDEs.

Project Memory stores decisions, evidence, outcomes and reviewed lessons in local SQLite. Assistants retrieve bounded context through three MCP tools. People follow and plan work in a live workspace with an overview, sprint board, decision history, readable documents, skills and project maps. Offline exports remain available.

A local-first Model Context Protocol server that provides LLM agents with structured access to e-commerce data (products, inventory, orders, sales analytics) using a realistic mock dataset, zero configuration, and a swappable DataProvider interface for live APIs.

Enables Claude to monitor CPU, memory, disk, processes, network connections, Docker containers, and system logs for system diagnostics and troubleshooting.