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Search MCP servers and agent skills by name, description, category or topic — 7 results.

MCP Server Stale

ferdousbhai/wsb-analyst-mcp

Reddit integration to analyze content on WallStreetBets community

29 Python Updated 10mo ago Score 43
MCP Server Stale

mbrummerstedt/powerbi-analyst-mcp

Connect LLMs to Power BI semantic models. Browse workspaces, tables, and measures, run DAX queries, and automatically page large results via local CSV.

13 Python Updated 3mo ago Score 39
MCP Server Official Active

longbridge/longbridge-mcp

Official Longbridge brokerage MCP — 110 tools for US/HK real-time quotes, options, trading, fundamentals, analyst ratings, calendars, price alerts, DCA plans, portfolio analytics and community sharelists. Hosted at `https://openapi.longbridge.com/mcp` with OAuth 2.1 via RFC 9728.

11 Rust Updated 3d ago Score 71
MCP Server Official Active

Off-Nadir-Lab/offnadir-delta-mcp

Live, geolocated world-event intelligence and a Daily World Brief for AI agents — query event signals (coordinates, severity, sources), hotspots, and satellite imagery (Sentinel-1/2 etc), plus an OSINT/GEOINT analyst. Streamable HTTP + OAuth; free tier, token-metered.

0 TypeScript Updated today Score 60
MCP Server Active

minhhq-a1/odoo-pulse

An AI Business Analyst for Odoo ERP: one-call reports with a verdict (business_pulse, pipeline_review, receivables_health, inventory_risk, sales_snapshot, absence_overview) over the XML-RPC API.

1 Python Updated yesterday Score 53
MCP Server Maintained

noblabs/lit-forge-mcp

Personal asset planning for Japan's つみたて NISA / iDeCo: 4 zero-auth tools — `simulate_nisa` (monthly compound), `plan_retirement` (3-scenario retirement gap analysis with Japanese pension defaults), `calculate_required_monthly` (back-calc to a target), and `calculate_compound_interest` (lump + monthly). Companion to https://lit-forge.com/nisa-simulator. npm: `lit-forge-mcp`. MIT, no telemetry.

2 TypeScript Updated 2mo ago Score 48
MCP Server Stale

lmwharton/sieve-mcp

AI-powered startup due diligence. Screen any startup across 7 IMPACT-X dimensions, get a Sieve Score (0-140) with evidence-typed findings and a clear meeting recommendation. Built for VCs, solo GPs, and angel investors.

5 Python Updated 4mo ago Score 41