"Managing Supabase and Vercel Integration" matching MCP servers:

Enables users to create, validate, view, and export system stock-and-flow maps from a versioned JSON model through MCP-capable hosts over local stdio or hosted Streamable HTTP. Supports causal-loop and nested-level mapping while keeping submitted model content with the caller and requiring no LLM provider key.

Options analytics an agent can drive: import a permitted chain, solve implied volatility, build a sixteen-Greek ladder, map dealer gamma walls, rank twenty-three structures, run a GARCH-t simulation with a convergence gate, and backtest with modelled premiums. Twelve stdio tools; every output is a schema-validated JSON file with source, assumptions and a degraded flag. Research only, no orders.

MCP server for managing a task graph with live visualization. Enables Claude Code to create, update, and link nodes (tasks, subtasks, ideas, etc.) while a browser viewer displays the graph in real time.

Provides AI agents with a TradingView-centric toolkit for screener queries, historical FX data, pattern scanning, chart rendering, backtesting, Pine tooling, and optional account/desktop integration.

Enables creating and deploying KoboToolbox XLSForm questionnaires, managing data collection, analyzing submissions, and generating Excel, Word, and PDF deliverables directly from a Claude conversation.

Enables natural language management of Zuar Portal instances, including authoring HTML blocks, building pages, managing data sources, queries, themes, and users, with versioned and revertible changes.

Enables AI assistants to interact with Metabase for querying databases, executing SQL, managing dashboards, and automating analytics workflows.

AI-powered MCP server for connecting and managing Jupyter Notebooks. Enables interactive code execution, multi-notebook management, and multimodal output for data analysis, visualization, and machine learning.

Enables LLMs to interact with Kibana through composable toolboxes for building dashboards, managing data, and handling alerts, among other operations.

Enables managing Splitwise expenses and generating premium spending analytics with category breakdowns, trends, and settlement optimization through natural language.

Connects AI assistants to YNAB budgets, providing over 30 tools for managing budgets, accounts, transactions, categories, and analytics with delta sync and caching.

A lightweight MCP server for managing personal finances locally. It allows users to log transactions, view summaries, manage categories, and interact with their budget via any MCP-compatible LLM client.

A local stdio MCP server for a self-hosted GeoGebra 5.0 Web bundle. It enables executing GeoGebra commands with structured feedback, querying commands, evaluating CAS, managing state, and exporting images using headless Chromium.

Turns relational schemas into editable entity-relationship diagrams in draw.io, supporting live databases, SQL DDL, YAML/JSON specs, and existing .drawio files, with tools for managing tables, columns, and relations.

Enables natural language interaction with AWS QuickSight for building, editing, and managing analyses, datasets, and dashboards, including chart creation, SQL updates, and QA verification.

Enterprise-grade MCP server for Sigma Computing, providing 155 tools for managing workbooks, data models, members, teams, deployments, webhooks, and multi-tenant operations. Enables AI assistants to interact with Sigma via natural language.

Provides advanced charting widgets (uPlot time series, ECharts box plots and parallel coordinates) for Urano Desktop/Cloud via MCP tools that build uiSpec JSON for rendering.

Enables data engineers and BI professionals to perform data pipeline development, quality assurance, visualization, and API integration locally with AI assistance.

A TypeScript/Node.js MCP server that wraps the Metabase REST API, enabling AI agents to execute queries, explore schemas, and build dashboards through structured tool calls.

Enables querying S&P 500 company data from Supabase through MCP tools covering company fundamentals and financials, historical price data, news with sentiment filtering, executive officers, and SEC filings. Ambiguous company names are resolved via elicitation, and embedded MCP App UI resources provide browsable, chart-ready views of the results.