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MCP server · 3 tools · 3 endpoints

Google Finance MCP server

Quotes, price history and ticker lookup for an agent that needs a number, not a trading desk.

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100 credits on signup · No card · Sign in with OAuth or paste a key

scrapersocial-google_finance mcp.scrapersocial.com/google_financeconnected
you

Find the ticker symbol for <company name> and give me its current quote.

agent
calls search 1 credit / instrument
{ "query": "<keywords>" }
server
returns
instruments [{ … }] · one per instrument
Shape only. Keys follow the tool's summary; a real call returns the full record. 1 call · 1 credit

Connect

One URL. Your client already knows what to do with it.

The first call opens a sign-in. New accounts get 100 credits, no card. Every client below shares one account and one balance.

Get a free key
server url https://mcp.scrapersocial.com/google_finance
claude.aiOAuth

Settings → Connectors → Add custom connector, then paste the server URL.

mcp.scrapersocial.com/google_finance

Web, desktop and mobile. Nothing else to paste.

Claude Codeone command

Run this in a terminal.

$ claude mcp add --transport http scrapersocial-google_finance https://mcp.scrapersocial.com/google_finance

Approve the sign-in prompt on first use.

Cursorone click

Installs the server and opens the MCP panel.

Add to Cursor
or paste the JSON into .cursor/mcp.json
{ "mcpServers": { "scrapersocial-google_finance": { "url": "https://mcp.scrapersocial.com/google_finance", "headers": { "Authorization": "Bearer sk_live_..." } } } }
Other clients · VS Code, Windsurf, Gemini CLI, anything that speaks MCP
VS Codeone click or JSON
Add to VS Codeor run MCP: Add Server, choose HTTP and use:
{ "name": "scrapersocial-google_finance", "type": "http", "url": "https://mcp.scrapersocial.com/google_finance" }
Windsurf~/.codeium/windsurf/mcp_config.json
{ "mcpServers": { "scrapersocial-google_finance": { "serverUrl": "https://mcp.scrapersocial.com/google_finance", "headers": { "Authorization": "Bearer sk_live_..." } } } }
Gemini CLI~/.gemini/settings.json
{ "mcpServers": { "scrapersocial-google_finance": { "httpUrl": "https://mcp.scrapersocial.com/google_finance", "headers": { "Authorization": "Bearer sk_live_..." } } } }
Any clientStreamable HTTP · OAuth 2.1 or Bearer
$ npx add-mcp https://mcp.scrapersocial.com/google_finance

One account and one balance across every client and the every-platform hub at mcp.scrapersocial.com.

What it does

What your agent can do with Google Finance

A model that writes “the stock closed at” with nothing behind the sentence is making it up. This server gives it something to cite. Give an agent https://mcp.scrapersocial.com/google_finance and it can look up a current quote, pull historical candles or resolve a company name to a ticker, each at 1 credit.

There is one capability tool, search, which takes a name or partial symbol and returns matching instruments, 1 credit per instrument. The other two endpoints are reached by path: list_endpoints (free) reports them and call_endpoint runs them. /v1/google_finance/quote takes a ticker symbol as the handle and returns the current quote for 1 credit. /v1/google_finance/history takes the same handle and returns price candles as a list, 1 credit per candle, so a 30-day daily history costs 30 credits.

Be clear about what this is: a convenience read of public market data, suitable for answering “what is at” or charting a return in a report. It is not an exchange feed, it is not licensed market data, prices may be delayed, and responses may be served from cache unless you pass fresh. Nothing here is investment advice, and nothing here places an order. Google Finance is nobody’s social feed; it’s on ScraperSocial because agents get asked about prices constantly, and a public market page is data like anything else.

Four jobs it finishes on its own

01

Answer a price question with a source

When a user asks what a company is trading at, the agent calls search to get the symbol and then /v1/google_finance/quote. Two credits, and the answer carries a real number and a timestamp rather than a guess.

02

Chart a period in a report

Pull candles with /v1/google_finance/history and let the model compute the return over the window or render a chart. At 1 credit per candle, a quarter of daily data is about 65 credits.

03

Resolve names to tickers

Users say company names, not symbols. search turns "<company>" into candidate instruments so the agent can pick the right listing before fetching anything else.

04

A small watchlist on a schedule

Ten tickers checked once a day is ten credits, which a $5 plan covers for three months. Useful for a morning summary; not useful for anything that needs sub-minute data.

Limits · read before you connect

What this does not do

Written by a person, not generated. If something here is wrong, tell us.

Indicative data only. Quotes can lag the market, and a repeat lookup inside the cache window returns the stored copy unless you set fresh, which costs nothing extra but still reads a public page rather than an exchange. Nothing in the catalogue covers fundamentals, filings, analyst estimates, options chains or an order book. The server executes nothing: it cannot buy, sell, or connect to a brokerage. history is a list endpoint: ask for up to 50 candles in one go, take the default of 20 otherwise, and walk back through older periods with the cursor meta hands you. Every successful call bills at least 1 credit. None of this is investment advice, and you should not build anything that trades on it.

Tools

3 tools, same names as the every-platform hub

One does one Google Finance thing each. The last two reach all 3 endpoints by path, so nothing in the catalog is out of an agent's reach.

Full credit table →

Search a platform

search

Keyword search over one platform's public content.

1 credit / instrument
Reaches the other 2 endpoints

List every Google Finance endpoint

list_endpoints

Browse every Google Finance endpoint, its input and its credit cost. Free, and calls nothing upstream.

free

Call any Google Finance endpoint by path

call_endpoint

Run any Google Finance endpoint by its path, so nothing Google Finance offers is out of reach of an agent.

endpoint's own cost

Pricing

100 free credits is 100 search results.

Then $5 a month for 1,000 credits, or $4 per 1,000 as a top-up. No card to start. Every call costs 1 credit.

100 search resultssearch · 1 each
Get a free key 100 credits on signup · $5 for 1,000 · full credit table

Prompts

Things to ask once it is connected

Copy one, swap the placeholder, paste it into your client.

What is <ticker> trading at right now, and how far is that from its recent high?

Find the ticker symbol for <company name> and give me its current quote.

Pull the last 30 daily candles for <ticker> and calculate the percentage change over the period.

Compare the current quotes for <ticker 1>, <ticker 2> and <ticker 3> in a table.

Get the price history for <ticker> and describe the trend in two sentences, no advice.

Questions

Before you connect

Is this real-time market data? #

No. It is a read of a public quote page and may be delayed or cached. Treat it as indicative, cite the timestamp in the response, and use a licensed market data vendor if timing matters.

Can I trade or place orders through it? #

No. Every tool is read-only. ScraperSocial has no brokerage integration and no write actions anywhere on the service.

How is history billed? #

1 credit per candle returned, up to 50 per call. A year of daily candles is roughly 250 credits across six paginated calls. Signup's 100 free credits buy a few months of one instrument.

What do I pass as the handle for a quote? #

A ticker symbol, such as the one search returns. If you only have a company name, run search first; it is 1 credit per matching instrument.

Is ScraperSocial affiliated with Google? #

Not at all. ScraperSocial is independent of Google, unaffiliated and unendorsed, and nothing on this page is financial advice.