"Google Forms" matching MCP servers:

MCP server for Google Jules enabling LLMs to create coding sessions with automatic pull request creation from issues or custom prompts.

MCP server integrating Google Search Console, Google Analytics 4, and GitHub, enabling AI clients to query search analytics, traffic data, and repository information.

An MCP server for orchestrating Google Jules as a remote coding agent from a local coding agent, handling task decomposition, API dispatch, monitoring, intervention, code review, and PR merging.

A sample MCP server built with FastMCP that demonstrates basic tools and a Google OAuth integration for accessing Google APIs like Calendar.

MCP gateway bridging Claude Code with Google Calendar, Google Tasks, and GitHub for calendar/task management and GitHub operations via natural language.

Enables dispatching and managing Google Jules coding tasks across multiple accounts, including parallel cloud chores, local patch reconciliation, preflight conflict checks, and automated GitHub PR workflows.

Unified MCP server exposing 12 DevOps tools across GitHub, PostgreSQL, Slack, and Google Calendar for AI agents, with rate limiting, input validation, and per-service scoped tokens.

Enables AI agents to inspect, create, and edit 1C metadata and managed forms in a configurator XML dump without manual XML editing, using metadata_check for dry-run validation and metadata_apply for writes. It enforces platform dump rules, preserves formatting, and supports operations such as object creation, property changes, renaming, role generation, and form amendments.

Enables authorized MCP clients to securely access and control a single Google Jules account via a remote Cloudflare Worker, allowing session management, messaging, plan approval, and repository/source inspection without a local server.

Empowers AI assistants with real-world capabilities including note management, Gmail integration, Google Calendar and Tasks management, and Git repository operations through the Model Context Protocol.

A modular server that implements the Model Context Protocol standard, providing tools for interacting with GitHub, GitLab, Google Maps, Memory storage, and web automation through a unified gateway.

Collects and aggregates developer activity data from GitLab, GitHub, Google Calendar, and Outlook Calendar. Enables tracking of commits, pull requests, code reviews, issues, and meeting information across multiple platforms with secure OAuth authentication.

Exposes a secure OAuth2 + SSE Model Context Protocol endpoint that lets Gemini Web read a local project's files, directory trees, search results, git status/diffs, and workspace info on a read-only basis. It also pairs the browser-side automation with a local bridge daemon so prompts and answers flow both ways between Gemini Web and Google Antigravity.

Enables an agent to take a public GitHub repository for an MCP server and get it listed across every MCP directory, by reading the repo to draft a listing, publishing to the official registry, opening pull requests on awesome lists and catalogs from the user's own account, and preparing web forms. It also checks existing listings and re-syncs or flags them when a new version ships.

A server implementation demonstrating how AI models can interact with external tools and services through Model Context Protocol, featuring integrations for calculator functions, GitHub repositories, and Google Maps searches.

A local Python MCP server that creates a GitHub issue, Notion task page, and Google Calendar event from a single task description, enabling project management across multiple platforms.

Provides access to GitHub v3 REST API functionality through STDIO mode with FastMCP, enabling users to interact with GitHub resources.

A personal AI assistant that connects git history, Gmail, Google Calendar, and Google Drive into an intelligent daily briefing via function calling and MCP.

An advanced Model Context Protocol server that integrates GitHub repositories with Google Gemini AI to provide intelligent code assistance, analysis, and repository management operations.

Enables AI assistants to contribute to Google Cloud Platform's k8s-config-connector by adding fields to resources, migrating from Terraform to direct controller architecture, and creating properly attributed commits.