Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Description from the maker (original English)
Google AI Overview answers and cited sources via the Apify Google AI Overview API, hosted MCP.
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Works in Claude on the web, desktop and mobile:
https://mcp.apify.com/?tools=johnvc/Google-AI-Overview-APIRun this in your terminal
claude mcp add --transport http google-ai-overview 'https://mcp.apify.com/?tools=johnvc/Google-AI-Overview-API'Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"google-ai-overview": {
"url": "https://mcp.apify.com/?tools=johnvc/Google-AI-Overview-API"
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"google-ai-overview": {
"type": "http",
"url": "https://mcp.apify.com/?tools=johnvc/Google-AI-Overview-API"
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
ChatGPT connects only to servers on the internet:
https://mcp.apify.com/?tools=johnvc/Google-AI-Overview-APIMenu names can differ slightly by plan and over time.
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We have not read this server’s tool list yet; we check endpoints in rotation.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026
The registry name was verified with the GitHub account johnisanerd, which owns the repo
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It runs in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.
The GitHub repo last changed –, and the latest version (1.0.0) reached the registry 4 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.
In the same category: Spec Driven Development, Remote Desktop Commander, Signoff
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MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
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The most efficient, reliable, and developer-friendly way to use the Google AI Overview API.
Actor page: apify.com/johnvc/Google-AI-Overview-API Input schema: apify.com/johnvc/Google-AI-Overview-API/input-schema
Send any search query and get back Google's AI Overview, the AI-generated answer that appears at the top of Google's results, as structured JSON: the answer text blocks plus the sources it cites (title, link, snippet, and source name). When Google defers generation and returns only a short-lived token, this API resolves the full answer for you automatically, so you always get clean, ready-to-use data.
git clone https://github.com/johnisanerd/Apify-Google-AI-Overview-API.git
cd Apify-Google-AI-Overview-API
# Install UV if you do not have it:
curl -LsSf https://astral.sh/uv/install.sh | sh
uv sync
cp .env.example .env
uv run python google-ai-overview-api-example.py
export APIFY_API_TOKEN="your_api_key_here"
uv run python google-ai-overview-api-example.py
Just the answer, structured. You get the AI Overview content and its cited sources as clean JSON, ready to drop into a database, a report, or an LLM pipeline. No HTML parsing.
It handles Google's deferral for you. Google sometimes returns the AI Overview immediately and sometimes defers it behind a short-lived token. This API resolves that follow-up automatically in a single run, so you never have to manage tokens that expire in under a minute.
One query or many. Pass a single query or a queries list. You get one result row per query, which makes batch lookups and GEO/AEO monitoring straightforward.
Pay only for what you fetch. Pricing is per retrieval: one retrieval for a standard inline answer, two only when Google defers and a follow-up is required. The output tells you exactly how many were used.
Country and language targeting. Choose the country (gl) and language (hl), or narrow to a specific location.
MCP-ready. Load it as a tool in Claude Cowork, Claude Code, Claude on the web, and Cursor (see below) and ask for an AI Overview in plain language.
text_blocks (paragraphs, headings, lists)references for each answer (title, link, snippet, source)queries) input, one row per queryresult_type fieldai_overview_present flag and a note when Google shows no overviewretrievals_used count so cost is never a surprise{
"query": "what is the Siliconimist podcast?" }
{
"queries": [ "best practices for prompt engineering", "how does vector search work" ], "gl": "us", "hl": "en", "location": "Austin, Texas, United States" }
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
query | str | one of query / queries | - | A single search query to fetch the AI Overview for. |
queries | list[str] | one of query / queries | - | Multiple queries in one run; one result row per query. Merged with query. |
gl | str | no | us | Country code (ISO 3166-1), e.g. us, gb, ca. |
hl | str | no | en | Language code (ISO 639-1). AI Overviews are currently English-only. |
location | str | no | - | Optional location to narrow results, e.g. Austin, Texas, United States. |
At least one of query or queries is required.
One row per query. Each item has a result_type of ai_overview or error. The answer text and sources below are illustrative; your run returns the live AI Overview content and its real citations.
{
"result_type": "ai_overview", "query": "what is retrieval augmented generation", "ai_overview_present": true, "used_dedicated_api": false, "retrievals_used": 1, "text_blocks": [ { "type": "paragraph", "snippet": " " } ], "references": [ { "title": " ", "link": "https://www.example.com/source", "snippet": " ", "source": "Example", "index": 1 } ], "gl": "us", "hl": "en", "fetched_at": "2026-05-28T08:33:58.988871+00:00" }
When Google does not show an AI Overview for a query, the row comes back with "ai_overview_present": false and a short note explaining why.
You can load the Google AI Overview API as an MCP tool so assistants call it for you. The MCP server URL preloads just this one Actor:
https://mcp.apify.com/?tools=actors,docs,johnvc/Google-AI-Overview-API
Authenticate with OAuth in the browser when offered, or with your Apify API token (the same APIFY_API_TOKEN used by the Python example). Get a token at https://console.apify.com/settings/integrations and a free Apify account at https://apify.com?fpr=9n7kx3 .
Cowork is the desktop app's automation mode. To give it the Google AI Overview API as a tool, add the Apify MCP server as a connector.
claude_desktop_config.json directly).~/Library/Application Support/Claude/claude_desktop_config.json%APPDATA%\Claude\claude_desktop_config.json{
"mcpServers": { "apify": { "command": "npx", "args": [ "-y", "mcp-remote", "https://mcp.apify.com/?tools=actors,docs,johnvc/Google-AI-Overview-API" ] } } }
Download the desktop app and start a free trial: https://claude.ai/referral/uIlpa7nPLg More help: https://docs.apify.com/platform/integrations/claude-desktop
Claude Code is the command-line tool. Add the Actor's MCP server with one command:
claude mcp add --transport http apify \
"https://mcp.apify.com/?tools=actors,docs,johnvc/Google-AI-Overview-API"
To use a token instead of browser OAuth:
claude mcp add --transport http apify \
"https://mcp.apify.com/?tools=actors,docs,johnvc/Google-AI-Overview-API" \ --header "Authorization: Bearer YOUR_APIFY_TOKEN"
Then verify with claude mcp list, or run /mcp inside a session. Ask Claude Code to call the Google AI Overview API.
Try Claude Code free: https://claude.ai/referral/uIlpa7nPLg Claude Code MCP docs: https://code.claude.com/docs/en/mcp
On claude.ai you add Apify as a connector, then enable just this Actor's tool.
johnvc/Google-AI-Overview-API.https://mcp.apify.com/?tools=actors,docs,johnvc/Google-AI-Overview-API, using OAuth when prompted.Open Claude on the web: https://claude.ai/referral/uIlpa7nPLg
Cursor reads MCP servers from a project file at .cursor/mcp.json.
.cursor/mcp.json:{
"mcpServers": { "apify": { "url": "https://mcp.apify.com/?tools=actors,docs,johnvc/Google-AI-Overview-API" } } }
{
"mcpServers": { "apify": { "url": "https://mcp.apify.com/?tools=actors,docs,johnvc/Google-AI-Overview-API", "headers": { "Authorization": "Bearer YOUR_APIFY_TOKEN" } } } }
New to Cursor? Get it here: https://cursor.com/referral?code=XQP4VBLI3NNX
ChatGPT connects to the Apify MCP server through Developer mode (available on ChatGPT Pro, Plus, Business, Enterprise, and Education plans).
https://mcp.apify.com/?tools=actors,docs,johnvc/Google-AI-Overview-APIMore help: https://docs.apify.com/platform/integrations/mcp
*Use the Google AI Overview API to power GEO/AEO monitoring, research, and content workflows with reliable, structured results.*
Open a ready-to-send prompt about the Google AI Overview API in the AI of your choice:
Only the beginning is shown; read the rest in the repo