"How to work with Google Sheets" matching MCP servers:

A system integrating two independent MCP servers for Google Calendar and Google Tasks APIs, orchestrated by an LLM agent loop with a web dashboard.

A local, read-only stdio MCP server that lets a Grok Build CLI agent check how much of its weekly SuperGrok / Grok Build usage pool is left, when the period resets, and its Extra Usage cap via tools like get_budget. It reads the existing grok login session and returns per-product figures as JSON, mirroring the TUI /usage screen, so agents can pause before expensive work when quota runs low.

Connects any MCP host to the Haven Agent Gateway, enabling session creation, agent discovery, collaboration, handoff, and work operations through MCP tools over stdio or Streamable HTTP.

Enables Codex to delegate long-running work to Claude Code via blocking MCP calls, with tools for model discovery, run, and resume without polling.

An MCP server that lets AI coding assistants delegate work to Capy's cloud agents and wait for results, all within the editor.

An MCP server that enables AI applications to access 20+ model providers (including OpenAI, Anthropic, Google) through a unified interface for text and image generation.

Enables AI agents to post tasks, manage escrow, approve work, and pay human gig workers on the GetterDone physical-task marketplace.

Enables local agents to connect to and interact with Google Colab sessions running in the browser.

An MCP server that splits coding work between ChatGPT web (planning, review) and Codex CLI (implementation), enabling agentic workflows over a local repo with risk-gated execution and safety rails.

Local-first MCP proxy with BM25 tool discovery, quarantine security, Docker isolation, OAuth support, activity logging, and web UI. Routes multiple upstream MCP servers through a single endpoint.

Enables coding agents to run persistent, budgeted work sessions with dependency graphs, human decision queues, required validation, and clean handoffs for autonomous or human-in-the-loop execution.

Enables AI assistants to query Google AI (Gemini models) via Vertex AI or Google AI Studio with automatic tool selection, multi-turn reasoning, and multimodal input support.

Enables multiple AI agents to coordinate work on the same codebase by providing real-time file locking, commit approval, and agent awareness through a lightweight WebSocket-based MCP server.

A lightweight, zero-dependency Python MCP server that exposes a single do_everything tool. Any AI agent that supports MCP can use it to offload all language-model work to a local OpenAI-compatible endpoint, reducing cost on the agent's primary LLM.

MCP server that exposes Google Jules AI agent as tools, allowing local AI agents to list authorized repositories and delegate coding tasks to Jules, receiving session URLs for tracking.

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.

Enables agents to monitor token/usage limits and persist work checkpoints, allowing them to pause, resume, and track progress across sessions.

Official MCP server for CueAPI. Schedule agent work on a cron, report write-once outcomes with evidence, and gate handoffs with verification from any MCP host.

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