"A production-ready Task Management MCP server for AI agents and autonomous workflows" matching MCP servers:

A production-grade, extensible Python template for building Model Context Protocol servers with support for Streamable HTTP and stdio transports. It provides a structured framework for implementing tools, resources, and prompts with built-in authentication, observability, and background task management.

A task-board MCP server that provides tools to search, create, and update tasks, resources for reading the board, and prompts for standup and triage workflows.

An MCP server that enables running commands against a ServiceNow instance via its REST APIs, including Table, Aggregate, Attachment, Import Set, Batch, CMDB, Service Catalog, Change Management, and Knowledge APIs.

Enables any MCP-compatible LLM to perform AI-powered web research using Google's AI Mode, returning synthesized and cited answers instead of raw search results.

A read-only MCP server for querying AI provider administration APIs, providing normalized usage, cost, and dashboard data for OpenAI and Anthropic.

Cite-able, content-addressed, signed memory of every place on Earth

AI agents that automate bookkeeping, bank reconciliation, and month-end financial close for SMBs and CA firms.

Enables Claude and any other MCP client to place and control voice calls, run conferences, stream call audio to AI agents, build IVRs, read call records and recordings, manage phone numbers, SIP trunks, applications, sub-accounts and billing, and send SMS/MMS/RCS on a Vobiz account. Calling, messaging and account changes stay off until explicitly enabled, with every write confirmed, rate-limited and idempotent.

Connects LLMs to your macOS Shortcuts library, enabling interactive workflows, discovery, and management through AppleScript and CLI integration.

MCP server for Fizzy kanban task management with tools for boards, cards, comments, and checklists.

A production-grade MCP server that provides real-time weather data and demonstrates the complete MCP protocol surface including tools, resources, prompts, and structured output.

MCP server that injects verified FTC documentation and code examples into AI assistants, enabling teams to write correct, competition-ready Java robot code through natural language.

A production-grade TypeScript starter for building Model Context Protocol servers, supporting stdio and Streamable HTTP transports with modular tools, resources, and prompts.

Provides programmatic access to Material Web documentation and components for AI agents, enabling documentation search, template generation, and HTML validation.

A communication framework that enables multiple AI agents to collaborate through asynchronous messaging, agent registration, and discovery. It facilitates complex task coordination and real-time discussion across distributed agent workflows using the Model Context Protocol.

Enables AI assistants to manage Plone CMS content, search, workflows, and Volto blocks via REST API.

AI job search and job application tracker. Search live jobs by title, location, salary, date posted, and remote or on-site, and see each one checked on real data: pay against market rates, ghost-job signals, visa sponsorship history, and how well it matches your resume. Check how hiring software reads your resume, track applications, set follow-up reminders, and get email alerts.

A production-grade MCP server for the Code-Fundi API, enabling AI agents to map codebases, search semantically, and analyze blast radius. It provides tools for repository management, AI-powered research, and impact analysis before shipping changes.

Universal MCP server for the Avito API (Russia's largest classifieds marketplace), built for autonomous AI agents to operate an account hands-free — 145 tools across 18 domains (listings, messenger, orders, delivery, promotion, autoload, reviews, analytics). Safe-by-default: dry-run, idempotency, structured errors, confirmation flow.

A Model Context Protocol server for the Quire project management platform, enabling AI assistants to securely interact with Quire projects, tasks, and data.