mcp server
StockLens
AI-powered stock analysis: nightly ratings, on-demand deep-dives, and watchlist insights.
Description as published by the maintainer. Source
- version 1.0.0
- active
active — Registry entry last updated 2026-07-03.
What this server can do
5 functions, named and described by the server itself. Parameter names are shown because they say more about what a function does than its name usually does.
fetch_analysis_result(analysis_id)- Fetch the result or progress of a previously initiated StockLens analysis. Returns status (in_progress/complete/failed), progress percentage, and full result when complete. Each call returns the current state once; it does not wait for completion. While status is in_progress, retry_after_seconds is the earliest sensible time to check again — check again only if the user asks to continue. Complete results include composite score, domain breakdowns, key insights, and may include a plus-depth AI narrative. Required: analysis_id.
get_market_summary(ticker, exchange)- Retrieve the latest StockLens composite analysis summary for a stock ticker. Returns composite score (0-100), an overall rating, per-domain scores and grades, and key strengths and challenges. No authentication required — data is derived from most recent nightly analysis run. Use this to quickly assess a stock before deciding whether to run a full analysis. Required: ticker.
get_portfolio_insights- Retrieve StockLens analysis summaries for the authenticated user's watchlist. Returns available composite scores and grades for watchlisted stocks; either value may be absent when no completed score exists. FREE tier returns up to 3 holdings; PRO/MAX return the full watchlist. Use this to give users an overview of their portfolio's analytical health.
initiate_analysis(depth, ticker, exchange, time_range, risk_tolerance, analysis_emphasis, evidence_history_family)- Initiate a full StockLens AI analysis for a specific stock. Starting a new run may consume LENS_AI (standard) or LENS_AI_PLUS (plus depth with optional AI narratives) credits. Returns an analysis_id immediately — completion is asynchronous. Retrieve status or results with a separate fetch_analysis_result call when the user asks for them. A recent matching analysis may be reused; the receipt explicitly reports new_run_started and reused_existing without claiming an asynchronous credit charge has completed. Concurrent identical initiations receive retry guidance. FREE tier supports standard depth only; PRO/MAX tiers unlock plus depth. Required: ticker.
ping- Health check — returns pong to verify MCP connectivity
Last successful function declaration observed on . Source: https://mcp.stocklens.com/mcp. We list what the server declared; we do not call any of these functions.
Endpoint status observed on . Source: https://mcp.stocklens.com/mcp.
Signals
These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.
| Signal | Value | What it measures | Window | Observed | Source |
|---|---|---|---|---|---|
| Latest published version | 1.0.0 | Latest version string the maintainer published to the registry. | as of fetch | Model Context Protocol | |
| Registry record last updated | 2026-07-03 | When the registry record was last updated by its maintainer. | point in time | Model Context Protocol | |
| First listed in the MCP Registry | 2026-07-03 | Date this server was first published to the official MCP Registry. Not a usage or quality measure. | point in time | Model Context Protocol | |
| mcp tools declared | 5 tools | Number of functions the server itself declared when asked to list them. This is what the server offers an agent, not a measure of how well any of them work. | as of probe | mcp.stocklens.com | |
| mcp endpoint status | ok | The server listed 5 functions when asked. | as of probe | mcp.stocklens.com |
Where to get it
This record as data
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GET /api/v1/entries/mcp_server.json