FineData.ai
VerifiedFeaturedRemoteAbout FineData.ai
FineData.ai is an MCP server for scraping web pages that require full browser rendering, for workflows involving AI agents. It supports synchronous, asynchronous, and batch scraping, with Markdown or JSON output.
Key features
- 01Scrape pages requiring JavaScript rendering
- 02Support captcha handling and proxy options
- 03Return Markdown or JSON
- 04Offer sync, async, and batch scraping
- 05Extract structured data
Use cases
- 01Retrieve main content from dynamic pages
- 02Scrape multiple pages in a batch
- 03Manage scraping jobs asynchronously
- 04Extract structured data from web pages
MCP support
It exposes tools for scraping pages, sending requests, checking jobs, managing batches, and querying usage. Clients can connect through local stdio or remote Streamable HTTP.
Configuration
Remote servers need no local install. Pick your client, then copy the config or install in one click.
https://mcp.finedata.ai/mcpclaude mcp add --transport http finedata-ai https://mcp.finedata.ai/mcp{"mcpServers":{"finedata-ai":{"type":"http","url":"https://mcp.finedata.ai/mcp"}}}Open in Cursor{"servers":{"finedata-ai":{"type":"http","url":"https://mcp.finedata.ai/mcp"}}}Open in VS Code{"mcpServers":{"finedata-ai":{"type":"http","url":"https://mcp.finedata.ai/mcp"}}}{"mcpServers":{"finedata-ai":{"serverUrl":"https://mcp.finedata.ai/mcp"}}}Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.
https://mcp.finedata.ai/mcpAuth requiredTools
Details
From the project READMEFineData MCP Server
MCP (Model Context Protocol) server for FineData web scraping API.
Enables AI agents (Claude, Cursor, GPT, …) to fetch pages that need a full browser and return clean data:
- JavaScript rendering and browser actions
- Captcha solving
- Datacenter / ISP / residential / mobile proxies
- Markdown or JSON output (markdown by default)
- AI structured extraction
- Local stdio or remote Streamable HTTP (+ OAuth 2.1)
Version: 0.3.1
Modes
Start with a plain request. Stealth and proxy modes are available when a page
needs a full browser; they consume more tokens than a plain request. Exact
rates are in the documentation and via get_usage. Gateway may apply a domain
strategy that overrides the requested engine or proxy; trust tokens_used in
the response.
Installation
uvx (recommended)
curl -LsSf https://astral.sh/uv/install.sh | sh
FINEDATA_API_KEY=fd_xxx uvx finedata-mcp
pip
pip install finedata-mcp
FINEDATA_API_KEY=fd_xxx finedata-mcp
npx
npx -y @finedata/mcp-server
Cursor
~/.cursor/mcp.json (Windows: %USERPROFILE%\.cursor\mcp.json):
{
"mcpServers": {
"finedata": {
"command": "uvx",
"args": ["finedata-mcp"],
"env": {
"FINEDATA_API_KEY": "fd_your_api_key_here"
}
}
}
}
Cursor deeplink (after publishing): install via MCP directory / “Add to Cursor”.
Remote (Streamable HTTP)
{
"mcpServers": {
"finedata": {
"url": "https://mcp.finedata.ai/mcp",
"headers": {
"Authorization": "Bearer fd_your_api_key_here"
}
}
}
}
OAuth 2.1 (Claude.ai / ChatGPT connectors): register via AS at https://api.finedata.ai, consent in the cabinet, then use the access token as Bearer.
Environment
| Variable | Required | Default | Description |
|---|---|---|---|
FINEDATA_API_KEY | stdio: yes | — | API key |
FINEDATA_API_URL | no | https://api.finedata.ai | API base |
FINEDATA_TIMEOUT | no | 180 | HTTP client timeout (seconds) |
FINEDATA_MCP_HOST | HTTP | 0.0.0.0 | Bind host |
FINEDATA_MCP_PORT | HTTP | 8080 | Bind port |
FINEDATA_OAUTH_ISSUER | remote OAuth | — | AS URL (gateway) |
FINEDATA_MCP_RESOURCE_URL | remote OAuth | — | Public MCP URL |
FINEDATA_JWT_SECRET | remote OAuth | — | Verify aud=mcp JWTs |
Tools
| Tool | Purpose |
|---|---|
scrape_url | Sync scrape with GET, read-only (markdown default) |
send_http_request | Sync POST / PUT / PATCH / DELETE through the same pipeline |
scrape_async | Async job, GET (formats=['markdown'] default) |
get_job_status | Poll job (markdown, not raw HTML) |
cancel_job | Cancel job |
list_jobs | List jobs |
batch_scrape | Up to 100 URLs (string or {url,...} objects) |
get_batch_status | Batch progress |
get_usage | Period usage via api_tokens_used |
Notable parameters: use_antibot, proxy_country, proxy_sticky, proxy_profile_id, auto_retry, stealth modes, formats, only_main_content, extract_*.
Async/batch: no csv/xlsx formats (sync only).
HTTP transport
finedata-mcp --transport http --host 0.0.0.0 --port 8080
Health: GET /health. Protected resource metadata is served at the path-scoped
URL for the endpoint — GET /.well-known/oauth-protected-resource/mcp — because
FINEDATA_MCP_RESOURCE_URL carries the /mcp path. Clients normally find it
from the WWW-Authenticate header on a 401 rather than guessing.
Support
License
MIT
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.