"Google Fit" matching MCP servers:

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.

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.

Long-term memory and context fitting for agents, with no LLM in the loop: remember and forget messages, recall what is relevant within a token budget, and fit long text into a budget. Local SQLite by default.

Enables coding agents to inspect a repository's manifests, infrastructure, CI and existing agent configuration locally and offline, then surface ranked recommendations for MCP servers, plugins, skills and CLIs that fit the project. Exposes five read-only tools for recommending, explaining and searching for tools, reporting current tooling status, and producing an install plan that is never applied automatically.

Enables users to scan Hugging Face for Apple-MLX models, estimate memory fit and decode speed for their Mac, and get ranked recommendations for a use case, with all agent work running locally.

Evidence-backed private AI deployment intelligence for GPU and LLM inference. Search benchmark evidence, check deployment fit, predict performance, get hardware recommendations, and generate launch configurations.

Enables MCP-compatible AI agents to deploy applications to Google Cloud Run by providing tools for deploying code, listing services, and managing Google Cloud projects.

A Model Context Protocol server that provides Google Jobs search capabilities through SerpAPI integration, featuring multi-language support, flexible search parameters, and rich job details.

MCP Server for Google Cloud Healthcare API enables Agentic AI for a variety of FHIR-based digital health solutions, from smarter clinical workflows for Health Systems to Pre-Auth frameworks for Payers!

An automated research agent that leverages Google Gemini models and Google Search to perform deep, multi-step web research, generating sophisticated queries and producing citation-rich answers.

Provides MCP (Model Control Protocol) tools for accessing and interacting with Google Chat spaces and messages through OAuth2 authentication.

A comprehensive Google Ads API integration for AI assistants through the Model Context Protocol. This server enables Claude AI and other MCP-compatible clients to manage Google Ads campaigns, analyze performance, and execute GAQL queries with natural language commands.

A central tool aggregator that routes and orchestrates multiple fabric apps through a single MCP surface. It enables users to access a combined suite of specialized tools from various registered apps via a unified server connection.

Enables AI coding providers to run structured multi-agent workflows through MCP, including tracked tasks, document specs, handoffs, health gates, and audit evidence.

Enables structured multi-agent workflows by managing task claims, action logs, handoffs, and health-gated completion while keeping specifications as filesystem Markdown artifacts.

x402 agent MCP server (beacon-mcp) exposing tools via Docker + glama.json for introspection.

Enables AI coding providers to run structured multi-agent workflows with shared use-case and spec documents, tracked tasks, handoffs, health checks, and review/repair gates.

Provides an OAuth 2.1 authorization and login layer plus tool registration for MCP connectors, so a connector can be added to Claude clients with only a URL and password. It also shapes tool names, descriptions and input schemas for what Claude clients actually display, returning compact results and readable error messages.

Enables structured multi-agent workflows across AI coding providers by managing documents, tracked tasks, handoffs, health evidence, and MCP-owned task/action state. It supports spec creation, implementation coordination, review, triage, and health-gated completion.

A secure MCP (Model Context Protocol) server hosted on Google Cloud Run that enables team collaboration by providing authenticated access via Google Cloud IAM, allowing teams to share custom MCP servers over the internet before official MCP authentication is implemented.

Provides a provider-agnostic MCP server that gives AI coding agents a shared workflow for drafting specs, claiming tracked tasks, logging actions and handoffs, and gating completion on health-check evidence. It also bundles read-only skills for triage, review, consultation, and product guidance across Claude Code, Codex CLI, Cursor, Grok Build, and OpenCode.

Enables AI coding providers to run structured multi-agent workflows with specifications, tracked tasks, handoffs, approvals, and health-gated completion across supported coding environments.

Enables AI coding providers to run structured multi-agent workflows with document drafting, task tracking, handoffs, and health-gated completion.

Provides a provider-agnostic MCP server that runs structured multi-agent workflows by owning task claims, action logs, handoffs, and server-side health gates over a shared filesystem and database. It enables coordinated Explorer, Consultant, Builder, and Reviewer roles with tracked specifications and audited completion evidence.

Enables AI coding providers to run structured multi-agent workflows with shared documents, tracked tasks, handoffs, and health evidence, supporting providers such as Claude Code, Codex CLI, Cursor, Grok Build, and OpenCode.

Turns existing REST/OpenAPI APIs into governed MCP tools for AI agents without modifying the APIs themselves, generating agent-friendly tools from specs, Postman collections, HAR files or cURL commands. Owners enable tools and set policies, while every call injects upstream credentials, redacts PII, projects responses to fit context limits, and produces a full audit trail.

OpenRouter for browser agents. One MCP that routes browser tasks across 250+ runners (Browserbase, Steel, Skyvern, Anchor, etc.). Not Google Nano Banana image gen.

Gives AI coding providers a structured, provider-agnostic workflow for managing specifications, tracked tasks, handoffs, and health-gated completion evidence. Enables coordinated multi-role workflows in which tasks are claimed, logged, and verified by server-owned health checks before work is marked done.

Enables developers to host an MCP server over Streamable HTTP on Node with corrected response framing, client elicitation capability reporting, and lightweight SSE parsing for progress and mid-stream elicitation events.

Enables AI coding providers to coordinate structured multi-agent workflows with documents, tracked tasks, handoffs, and health evidence. It owns task claims, action logs, and final health results while leaving specification files on the filesystem.