# miradebs98/Sablier MCP Server

Source: https://glimind.com/server/glama%2Fmiradebs98%2Fsablier-mcp-server
Registry id: `glama/miradebs98/sablier-mcp-server`
Status: unknown

## Tools (35)

- `analyze_qualitative`: Score company exposure to any theme (0-100) using 10-K, 10-Q, and earnings transcripts
- `analyze_quantitative`: One-shot: builds factor models, trains, computes factor exposures (linear + nonlinear)
- `compute_betas`: Compute per-asset factor betas from a trained model group
- `compute_returns`: Sample forward asset returns under user-specified factor levels (Monte Carlo)
- `create_feature_set`: Create a custom set of market drivers for analysis
- `create_portfolio`: Create a portfolio from tickers and weights (must sum to 1.0)
- `create_scenario`: Save a named what-if scenario (fixed value, percentile, or shock)
- `delete_feature_set`: Delete a custom feature set
- `delete_grain_analysis`: Delete a saved qualitative analysis
- `delete_model_group`: Delete a model group and all associated data
- `delete_portfolio`: Permanently delete a portfolio
- `delete_scenario`: Delete a scenario
- `get_asset_profiles`: Sector, industry, country, and exchange for each holding
- `get_efficient_frontier`: Compute the efficient frontier curve for portfolio assets
- `get_feature_set`: Get details of a specific feature set
- `get_grain_analysis`: Load a saved analysis with full scores and evidence passages
- `get_optimization_history`: Browse past optimization runs for a portfolio
- `get_portfolio`: Get full details for a specific portfolio
- `get_portfolio_analytics`: Sharpe ratio, volatility, max drawdown, beta (1W-5Y timeframes)
- `get_portfolio_value`: Live portfolio value: total, P&L, per-position breakdown
- `get_residual_correlation`: Cross-asset residual correlation matrix (post-factor)
- `get_scenario`: Get scenario details
- `list_feature_set_templates`: Browse pre-built market driver sets (rates, volatility, commodities, credit, etc.)
- `list_feature_sets`: List all accessible feature sets
- `list_grain_analyses`: List past qualitative analyses
- `list_model_groups`: List existing analyses with training and simulation status
- `list_portfolios`: List your portfolios with names, assets, and status
- `list_scenarios`: List saved scenarios
- `list_simulations`: List all simulations for a model group
- `list_themes`: Browse the built-in theme library (AI risk, rate sensitivity, China exposure, etc.)
- `market_radar`: Bloomberg-grade briefing: 50+ indicators, z-scores, regime signals, cross-asset analysis
- `optimize_portfolio`: Find optimal weights: max Sharpe, min variance, or max return
- `search_features`: Search for tickers (stocks, ETFs, futures) and market indicators (VIX, DXY, rates)
- `update_portfolio`: Update name, description, weights, or capital
- `update_scenario`: Update a scenario's factors or description

Measured by Glimind (https://glimind.com): MCP handshake + tool list only, no tool is ever called. CC BY 4.0.