Stock Research MCP vs Graph Polymarket MCP | AllMCPs
Side-by-Side Model Context Protocol Comparison
Stock Research MCP vs Graph Polymarket MCP
In-depth architectural comparison of the Stock Research MCP and Graph Polymarket MCP MCP servers. Compare execution transports, security boundaries, tool capabilities, quality scores, and ready-to-paste client installation snippets for Claude, Cursor, Windsurf, and VS Code.
At a Glance & Executive Verdict
Stock Research MCP
Finance & Fintech · Local stdio
Quality: 60/100 (Good) | Auth: No auth required
Graph Polymarket MCP
Finance & Fintech · Local stdio
Quality: 59/100 (Good) | Auth: API Key required
Verdict Summary: Choose Stock Research MCP if you need specialized Finance & Fintech tools running via a local process. Choose Graph Polymarket MCP if your workspace requires Finance & Fintech integration with local subprocess execution. Both servers can be configured concurrently in your client's mcpServers manifest.
Which MCP Server Should You Choose?
Choose Stock Research MCP when:
You need dedicated capabilities in the Finance & Fintech domain.
You prefer local stdio subprocess transport architecture.
Your security boundary fits: No auth required (Free / Open Source).
Resolve a company to its symbol by name, symbol, BSE code, or ISIN — including brand names and post-rename aliases (`Zomato` → `ETERNAL`). Filter by sector/industry.
screen_stocks
Fundamental screener over 326 ratios — PE, ROCE, sales growth, debt/equity, Piotroski score. Plain-English query syntax with AND/OR logic and cross-field comparisons.
Stock Research MCP is categorized under Finance & Fintech and uses a local stdio subprocess. In contrast, Graph Polymarket MCP belongs to Finance & Fintech using local stdio subprocess. Select Stock Research MCP when you need capabilities focused on finance & fintech and Graph Polymarket MCP when you require tools for finance & fintech.
Full overview — sector, business summary, pros/cons, fundamentals, growth metrics, current quote. Optionally add technicals (20+ indicators), analyst ratings, and peers in the same call.
Daily or weekly OHLCV with delivery %. Up to 2,000 sessions per call, pageable further back.
get_financials
Quarterly + annual P&L, balance sheet, cash flow, and ratios. Each period is stamped with when it was actually published, so backtests can avoid look-ahead bias.
get_shareholding
Promoter, FII, DII, and public holdings quarter by quarter.
get_forecasts
Analyst EPS, revenue, EBITDA, net income, ROA, and ROE estimates against actuals — for spotting earnings surprises.
+40 more tools listed on main page
Graph Polymarket MCP Tools (35)
list_subgraphs
List all available Polymarket subgraphs with descriptions and key entities
get_subgraph_schema
Get the full GraphQL schema (introspection) for a Polymarket subgraph
query_subgraph
Execute a custom GraphQL query against a Polymarket subgraph
get_market_data
Get Polymarket market/condition data including outcomes and volumes from the Main subgraph
get_account_pnl
Get a trader's P&L and performance metrics from the Beefy P&L subgraph
get_user_positions
Get a user's current positions from the Slimmed P&L subgraph. Falls back gracefully if indexers are behind.
get_recent_activity
Get recent splits, merges, and redemptions from the Activity subgraph
get_orderbook_trades
Get recent order fills from the Orderbook subgraph
get_global_stats
Get aggregate Polymarket platform statistics. Combines market counts from the Main subgraph with accurate volume/fee/trade data from the Orderbook subgraph.
get_daily_stats
Get daily platform statistics from the Beefy P&L subgraph: volume, fees, trader counts, and market activity per day. Use this for trend analysis and historical performance.
get_top_traders
Get the top Polymarket traders ranked by realized P&L, win rate, or volume from the Beefy P&L subgraph.
get_market_positions
Get the top positions for a specific market token from the Beefy P&L subgraph. Shows who holds the largest positions and their P&L.