"How to Automate Microsoft Forms" matching MCP servers:

A server implementing the Model Context Protocol (MCP) that delivers jokes upon request, demonstrating how to connect AI models to data sources and tools within Microsoft Copilot Studio.

Human-as-a-Service for AI agents. When your agent is blocked by a task that requires a real human — accepting ToS, creating accounts, submitting forms, identity verification — it calls NeedHuman. A human completes the task and returns the result with proof.

Converts AI Skills (following Claude Skills format) into MCP server resources, enabling LLM applications to discover, access, and utilize self-contained skill directories through the Model Context Protocol. Provides tools to list available skills, retrieve skill details and content, and read supporting files with security protections.

Allows Claude Code agents to pull tasks from an EasyTopic Kanban board, automate planning, commenting, approval, implementation, and closing of topics.

Enables AI agents to automatically inspect and fill web application forms on job application sites through a logged-in Chrome, supporting text, select, radio, date, cascading dropdowns, and dynamic row operations.

Enables Codex to delegate coding tasks to an OpenCode CLI locally, returning structured results such as exit codes, session summaries, tool calls, and git diffs.

Human-in-the-Loop approval gate for AI agents to assess risky operations and require user approval via Cursor forms.

MCP server that lets you drive Claude Code sessions hands-free by voice from any MCP client, enabling remote models to send prompts, monitor progress, and get results read back.

Enables routing tasks to the right specialist agents, assembling the needed context from a layered catalog of agents, skills, knowledge, runbooks, topics, tools, and connectors, while remembering how a business wants work done.

MCP server for Microsoft Advertising (Bing Ads) REST API enabling agent-led campaign management and reporting. It provides tools to manage campaigns, ad groups, keywords, ads, budgets, and pull performance reports.

Teach any AI agent how you use an MCP server – Soft-Landing to your AI integrations

A Model Context Protocol server that enables LLMs to safely execute make targets from a Makefile, allowing AI assistants to run tests, format code, and automate various development tasks through natural language interaction.

Enables AI agents to schedule and manage reminders across platforms like email, Slack, Discord, and webhooks. It provides tools to create, list, update, and cancel notifications to automate task reminders and agent wake-ups.

Enables interaction with Google Jules API to automate software development tasks, such as managing sources, sessions, and activities for AI-powered coding assistance.

A Python package that enables integration with Autodesk Revit through the Model Context Protocol, allowing users to send commands to Revit and automate interactions with building models.

Enables learning how to build and use an MCP server with tools, resources, and prompts through a Python example.

An autonomous MCP server that uses the Claude Code CLI to solve coding problems without permission prompts.

One-pass agentic inbox triage as an MCP server: fetch unread Gmail → classify (action_needed/fyi/newsletter/noise) → summarize → extract tasks → draft replies as Gmail DRAFTS (never sends) → flag calendar → write a triage report. Four stdio tools (fetch_emails, save_gmail_draft, append_tasks, write_report); the host is the LLM, so it runs keyless in Claude Code. Gmail scopes: readonly + compose

Orchestrates multiple AI coding agents declaratively to automate software development workflows for engineering teams.

Enables AI assistants to interact with Autodesk Revit to query project data, manage elements, and execute generated code via the Model Context Protocol. It provides full compatibility with GitHub Copilot and Claude to automate BIM modeling workflows.