"A tool or app for saving and editing todo tasks" matching MCP servers:

Enables Claude Code to maintain a persistent todo list stored in SQLite, with tools to list, search, add, update, complete, and delete todos across sessions.

AI-powered video editing toolkit: scene splitting, subtitle generation, thumbnail planning, color grading, and aspect ratio conversion.

A simple MCP server for managing a todo list — add tasks, list tasks, and mark tasks complete. Built with the Python MCP SDK (FastMCP) as a hands-on learning project.

Upload, edit, and generate videos from everyone's favorite LLM and Video Jungle.

Enables AI assistants to manage task lists, tasks, subtasks, due dates, notes, and completion through the Google Tasks API, including reversible completion and syncing changes.

MCP router that fronts your other MCP servers behind a few small generic tools, so their tool definitions stay out of the context window and are discovered on demand.

A Model Context Protocol (MCP) server that brings your Google Tasks into Claude and other MCP-compatible clients, enabling task and task list management through natural conversation.

Run free live audience Q&A and polls from your agent: start an AskOne room, add and launch a poll, approve or hide questions and mark them answered, close the room, then read the questions as a FAQ draft and get the results. Free AI moderation. Uses an organization API token from askone.org

Free App Store competitive intelligence for Claude — rival downloads, revenue, and ASO keywords. MCP server, no subscription.

Enables agents to fetch app reviews from Apple's App Store and Google Play per country store, newest first, filtered by date or star rating, with each scheduled run returning only reviews not seen before. It also returns a per-app, per-country rating trend row with the current rating, rating count, change since the last run, and the star split of new reviews.

Enables querying Shopify App Store apps and Chrome Web Store extensions by category, keyword, or listing URL, returning ratings, reviews, pricing or user counts, and developer website, domain, address, and email. Filters by minimum rating or reviews and produces one row per listing ready for outreach or enrichment.

Audits MCP tool descriptions for quality and reliability, scoring them 0-100, detecting smells, and providing rewritten versions for better agent accuracy.

Graph-based tool retrieval for LLM agents. Builds a tool graph from OpenAPI/MCP specs and retrieves multi-step workflows via hybrid search (BM25 + graph traversal + embedding), recovering accuracy from 12% to 82% with 79% fewer tokens. Also works as an MCP Proxy to aggregate multiple servers behind 3 meta-tools.

it is a simple to-do list CRUD MCP Server

Enables running website SEO audits, text readability and grammar checks, PDF-to-image rendering and image format conversion from any MCP client. It is a remote, hosted Streamable HTTP service with a free tier and no installation or sign-up required.

Enables AI agents to search, filter, and monitor curated AI model API free credits and low-cost token promotions through eight tools, four resources, and three prompts — including finding deals expiring soon, checking eligibility and blocked conditions, and producing daily briefs.

An MCP server featuring an interactive React UI for Garmin Connect integration. It allows users to access and interact with Garmin fitness and health data through the Model Context Protocol.

An MCP server that converts Cursor agent plans into structured markdown task lists and organizes them in your repository, helping you track AI-generated plans and recommendations as actionable specifications.

Protects AI agents from bad tool outputs, schema mismatches, and tool poisoning by validating, sanitizing, and scoring reliability of tool responses.

MCP server that detects and guards against tool poisoning and prompt injection attacks in tool descriptions and schemas. It provides risk scoring, pattern detection, safe rewriting, and audit reports with zero external API cost.

Enables querying daily Oura Ring metrics from a self-hosted Postgres warehouse and rendering interactive trend charts inline in compatible MCP hosts, with text summaries for hosts that lack chart support.

Cross-chain cryptocurrency swaps via Chainflip. Get quotes, execute swaps, and track progress. No API key required to get started.

Lets a human review what an AI agent is about to post to a chat tool (Slack first) before it is sent. Renders the draft, destination and warnings (@here/@channel, unresolved mentions, format issues) in a neutral local HTML preview; never sends anything.

Enables scoring the WHO-5 Well-Being Index from five answers, returning a 0–100 score and a low, reduced, or normal band without providing a diagnosis.

Gives AI agents live access to Apple App Store reviews: search the App Store, pull customer reviews for any iOS app, and turn them into insights like rating distribution, average rating per version, top complaint keywords, representative quotes, and side-by-side competitor comparisons.

Provides agents with real Linux VMs to run commands, manage files, expose ports, and track costs, all through an ephemeral sandbox service.

Use Codex as a subagent inside Claude Code: async dispatch into a long-lived codex app-server, results pushed back into the Claude session automatically, steer/interrupt mid-task, and Codex's built-in code review.

Enables AI agents to manage local Google Chrome profiles on Windows — listing, creating, launching, organizing, and syncing profiles with proxies, notes, tags, and value sets, while keeping cookies and irreversible deletion out of reach.

Gives LLM agents spatial awareness inside Autodesk Maya, enabling scene inspection and measurement, aesthetic and engineering audits, camera planning, checkpoint/rollback safety, asset import, and viewport or render previews. Agents can also execute arbitrary Python in Maya to build and verify 3D scenes against engineering rules instead of writing blind.

Odds are, most of what you want to build is already open source. Tell your AI agent what you're making, and it finds it: which repos to use as they are, which to adapt, and what's left for you to write. Every repo it names is real, licensed for your use or flagged, and checked live.