"Tools or methods to create tasks" matching MCP servers:

Startup valuation calculators for AI agents: 14 MCP tools covering 80+ formulas from the Startup Valuation textbook — probability, time value, CAPM, pre-revenue methods (Scorecard, Berkus, VC Method), options, comparables, SaaS, marketplace, fintech, biotech, hardware, international, stakeholder equity, and emerging methods.

Enables deterministic calculations for AI API and subscription costs, meeting time zones, recurring schedules, and cron next-run previews, returning normalized inputs, units, assumptions, dated sources, and links to results.

Enables agents to convert Markdown into WhatsApp-compatible formatting, including styled text, lists, and tables that fit a phone's monospace width.

Records privacy-preserving receipts for AI-assisted tasks and enables optional onchain reward claiming via AIPOU tokens. Integrates with MCP-compatible clients like Claude and Cursor.

Enables pushing enriched leads into Instantly or Smartlead campaigns with ICP score gating, deduplication, and dry-run previews via an Apify actor.

Resolves a company domain to its LinkedIn company page URL. Lightweight enrichment tool for sales and prospecting workflows.

Free Industry 4.0 / IIoT tools, no API key or account: lint MQTT Sparkplug B topics, check a Unified Namespace (UNS) for naming and hierarchy problems, and run an industrial AI-readiness diagnostic for manufacturing digital transformation and smart-factory projects. Works in Claude Code, Codex and any MCP client.

Image tools for coding agents: generate from text, edit one reference image, remove backgrounds, upscale 2x, and create reference-based sprite animations. The MCP server, CLI and REST API share one key, credit balance and request history. Needs a DreamLayer API key and paid credits; sprite sheets are beta.

Enables AI assistants to convert CSS-animated SVGs into videos (MP4/WebM/MKV/MOV) and animated images (aPNG/GIF) with frame-accurate rendering and transparency support.

VK API for AI assistants: wall posts, communities, messages, market items, ads and stats. 373 methods in one catalog, each with a read/write/destructive safety class; the agent searches methods in plain language instead of receiving 373 tools.

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.

Enables agents to write to Microsoft Planner: create tasks and buckets, list plans and tasks, and complete or reopen tasks using delegated Entra device-code sign-in.

Recommends study designs for a research question, states the identifying assumptions to verify, and returns runnable R, Python, or Julia code with a formatted citation for every source, drawn from methodological textbooks, an R package, and research articles on causal inference, econometrics, statistics, and machine learning.

Read-only MCP server for Huawei GaussDB (centralized & distributed), built for coding agents. Three-layer write protection, multi-instance config, schema exploration and single-SELECT execution.

Provides a JSON-RPC MCP server that exposes policy-governed agent tools, including paid tools, tool muxing, and OpenAPI-to-MCP conversion, enabling agents to discover, coordinate, and execute tasks within the ProtoOS ecosystem.

MCP server for file operations with non-UTF-8/Unicode encoding: Cyrillic, CP1251, CP1252, ISO-8859, KOI8 auto-detection

Enables AI agents to pull structured web data (news, reviews, jobs, products) as clean JSON via ready-made Apify Actors on a pay-per-result basis. Built-in safeguards like cost caps, item limits, and truncated text protect agent context from flooding.

Text-to-speech MCP server that enables AI assistants to read text aloud on the user's computer using Windows SAPI, with no API key or cloud service required.

Enables validating JSON/JSONC, getting/setting values with jq-like paths, pretty-printing or minifying, validating against Ajv JSON Schema, and diffing local files or inline strings without network calls.

Enables AI tools to interact with browsers for enhanced frontend development, providing context to LLMs through tools like API call analysis, screenshots, element selection, and documentation ingestion.