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rsi-ai-platform

browser-research-mcp

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
PORTNoPort to bind the MCP server7862
HEADLESSNoWhether to run Chromium headless (set to false to debug locally)true
MCP_HOSTNoHost to bind the MCP server0.0.0.0
MCP_TRANSPORTNoMCP transport (stdio, SSE, or streamable-http)stdio
ANTHROPIC_MODELNoModel name for Anthropicclaude-sonnet-4-6
ANTHROPIC_API_KEYNoAPI key for Anthropic, required for extract tool

Capabilities

Features and capabilities supported by this server

CapabilityDetails
tools
{
  "listChanged": false
}
prompts
{
  "listChanged": false
}
resources
{
  "subscribe": false,
  "listChanged": false
}
experimental
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
visitA

Open a URL with a real Chromium and return its rendered state.

Use when the cheaper fetch tools (web_fetch, pdf_fetch, http_post_form) fail because the page is a SPA, JS-rendered chart, login-walled, or has a dropdown that's not a separate URL.

Args: url: The page URL. wait_for_selector: Optional CSS selector to await before reading the DOM. Use when data appears only after an AJAX call returns — e.g. ".chart svg", "table#monthly tbody tr". wait_extra_ms: Extra settle time after the wait fires (default 1500). timeout_ms: Hard navigation timeout (default 45s). screenshot: Whether to capture a PNG (default True). Adds ~200ms. full_page_screenshot: Scroll-stitch the whole page (default False). text_cap: Cap on extracted text length (default 30000).

Returns: {url, title, domain, text, screenshot_b64, screenshot_bytes, fetched_at, current_date}

actA

Drive a real Chromium through a sequence of steps, then run Sonnet structured extraction on the final state.

Use this when the data is BEHIND an interaction — a Year/Month dropdown that fires AJAX inline, a tab to click, a "Load more" button, a form to submit. visit and extract only read the page as it loaded; act clicks/types/selects first.

Steps are a list of single-key dicts: {"click": "css-selector"} {"fill": {"selector": "#q", "value": "x"}} {"select": {"selector": "#year", "value": "2024-2025"}} {"press": {"selector": "#q", "key": "Enter"}} {"scroll": {"to": "bottom"|"top"|}} {"wait_for_selector": "css-selector"} {"wait_for_load_state": "networkidle"|"load"} {"wait_ms": 1500} {"goto": "https://…"} // mid-flow navigation {"screenshot": {"name": "after-select"}} // logged, not returned

Example — pull PPAC FY2024-25 monthly consumption (a flow that needs the year dropdown change to fire an AJAX request): act( url="https://ppac.gov.in/consumption/products-wise", steps=[ {"wait_for_selector": "#financialYear"}, {"select": {"selector": "#financialYear", "value": "2024-2025"}}, {"wait_for_load_state": "networkidle"}, {"wait_ms": 2000}, ], focus="FY2024-25 monthly LPG, MS, HSD, ATF consumption", )

Returns the same shape as extract PLUS step_results (per-step timing + ok/error) and final_url.

Args: url: Starting page URL. steps: Ordered list of action dicts (vocabulary above). focus: Extraction focus passed to Sonnet. timeout_ms: Per-step navigation / wait timeout. full_page_screenshot: Whether the final screenshot is full-page.

Returns: {url, domain, title, dateline, summary, key_facts[], numeric_values[], dates[], tables_summary[], step_results[], final_url, kind: "browser"}.

extractA

Visit a URL → focused Sonnet structured extraction.

Sends BOTH rendered text AND a screenshot to Sonnet — so numbers drawn via canvas / SVG (chart values on PPAC, RBI, NSE dashboards) that don't appear in the DOM still get extracted. Same returned shape as pdf_fetch_structured / web_fetch_structured on authority-web-search-mcp.

Args: url: The page URL. focus: What to extract, e.g. "monthly LPG, MS, HSD consumption for FY2024-25" or "Q4 FY26 EBITDA margin and revenue". wait_for_selector: Optional CSS selector to await (see visit). full_page_screenshot: Default True so charts below the fold are seen.

Returns: {url, domain, title, dateline, summary, key_facts[], numeric_values[], dates[], tables_summary[], kind: "browser"}.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

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