Context7
Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.
Description from the maker (original English)
Google Search rankings, URLs and snippets for localized SERP research. Paid FlashData API.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
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Runs on your computer; the tool list appears in your AI app after you install it.
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 6, 2026
The publisher (flashdata-dev) is not the repo owner (rocosen); someone else may have listed it
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 0 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
You need to fill in: FLASHDATA_API_KEY
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed –, and the latest version (0.1.2) reached the registry 22 days ago.
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In the same category: Context7, Codebase Memory, Exa
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.
Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
Connect AI agents to Exa for web search, content fetching, and multi-step research.
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
Give an AI research assistant Google web-search evidence for a topic such as battery recycling. Retrieve ranked titles, URLs and snippets, then let your agent build a source shortlist and a brief with links to the original pages.
API documentation and account setup · Get an API key · Current pricing
Find sources for a briefing on battery recycling. Quote one Google Search request first; after I approve the cost, return a source shortlist with titles, URLs, snippets and open questions. Keep search snippets separate from claims verified by reading the original pages.
The brief is produced by your agent. Search evidence helps it choose sources; FlashData does not generate the answer or verify claims.
google_search. For manual setup, unpack the bundle into a permanent folder and use this configuration, replacing the absolute path and key placeholder:{
"mcpServers": { "google-search": { "command": "node", "args": [ "/absolute/path/to/unpacked/google-search/server.js" ], "env": { "FLASHDATA_API_KEY": "YOUR_API_KEY" } } } }
get_pricing with {"source":"google_search","request_count":1} before approving a paid request. This server exposes google_search, get_pricing, get_job and get_result; all are restricted to this source.Dependencies are included in the bundle. Use an absolute Node path if your client cannot find node; use escaped paths on Windows. Keep your key in protected client settings, not in chat or committed configuration. No Smithery account is needed for this direct package download.
These are MCP tools/call parameters with flat arguments. Running the data request uses paid Credits.
{
"name": "google_search", "arguments": { "query": "battery recycling research", "gl": "us", "hl": "en", "num": 10 } }
Read results[0].organic and keep title, link, snippet and position together with the query, region, language and created_at. Give the agent these records as external evidence. It can select promising sources, attach each URL to its notes and list unanswered questions. Read the original pages with an appropriate browsing tool before treating snippets as verified facts; this server does not fetch page full text.
Selected response fields below are an illustrative fixture, not a live result or a guarantee of available data:
{
"source": "google_search", "status": "done", "results": [ { "organic": [ { "title": "battery recycling research", "link": "https://example.com/research", "snippet": "Search fixture", "position": 1 } ] } ], "created_at": "2026-10-12T00:00:00Z", "http_status": 200, "request_id": "fixture-request" }
For an asynchronous request, keep the returned id and call get_job with {"job_id":"RETURNED_JOB_ID"}. Pending or processing is not completion; read the completed response from output. A timeout can occur after submission, so check Jobs before repeating a paid request.
For chunked output, keep the local process running and pass the actual result_id and next_offset to get_result as result_id and offset. Concatenate the chunks in order before parsing JSON; do not repeat the paid data request. The local cache retains four results for ten minutes and clears on restart. Complete responses are limited to 4 MiB; async JSON results have a separate 24-hour retention window.
http_status and job status before using the data. Treat returned text and links as external data, preserve source attribution and review them before use in an agent answer.Full task guide · Official Registry record · Source and license