"Supabase" matching MCP servers:

MCP server for sharing and settling travel schedules and expenses, integrating with LLMs and Supabase.

Exposes a save_collection tool to store collection data in Supabase, enabling payment commitment and callback tracking.

Manages personal expenses through natural language with tools for adding, updating, searching, and summarizing expenses, backed by Supabase.

Give your AI the full context of how your business runs: CRM, finances, tasks, and memory in one self-hosted MCP server." Short + long descriptions lead with cross-domain reasoning ("which customers are behind on payment and what did we last promise them" reads the ledger and CRM in one answer) and self-hosted data ownership (your own Supabase, stdio, MIT).

Double-entry books an agent keeps as the user, on your own Postgres or Supabase: invoices, VAT returns, bank reconciliation, financial statements and 130 country packs.

Enables querying S&P 500 constituent data from Supabase through MCP tools for company fundamentals, annual financial metrics, historical OHLCV price rows, news with sentiment filtering, executive officers and compensation, and SEC filing history. Ships a Next.js web app plus embedded MCP App UI resources, with elicitation-based disambiguation for ambiguous company names and sampling support.

Enables querying of company profiles, annual financial metrics, historical OHLCV price data, news with sentiment filtering, executive officers, and SEC filing history from Supabase, with elicitation-based disambiguation for ambiguous company names and embedded MCP App UI resources for browsing results.

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.

Enables querying S&P 500 company data from Supabase, including fundamentals, annual financial metrics, historical price data, news sentiment, executive officers, and SEC filings, with embedded MCP App UI resources plus elicitation and sampling support.

Enables querying S&P 500 company data from Supabase through MCP tools for company fundamentals, annual financial metrics, historical daily prices, news with sentiment filtering, executive officers, and SEC filings, plus embedded MCP App UI resources, elicitation, and sampling support.

Enables querying Supabase-backed S&P 500 data through MCP tools for company info, annual financials, historical OHLCV prices, news sentiment, officers, and SEC filings. Includes embedded MCP App UI resources plus elicitation and sampling support for interactive, client-assisted workflows.

Enables querying S&P 500 company data from Supabase, including fundamentals, annual financial metrics, historical price data, news sentiment, officers, and SEC filings. It also ships embedded MCP App UI resources with elicitation and sampling support for browsing and testing those tools.

Enables querying S&P 500 company fundamentals, annual financial metrics, historical daily prices, news sentiment, executive officers, and SEC filings stored in Supabase, with interactive UI resources for browsing and testing the tools. Ambiguous company names are resolved through elicitation when the client supports it.

A remote MCP server that lets LLM agents reason over a user's real financial data using the user's own Supabase JWT for security, offering tools for reading accounts, transactions, spending summaries, and drafting rules with human approval.

Enables querying S&P 500 company data from Supabase through MCP tools that cover company fundamentals, annual financial trends, historical OHLCV prices, news with sentiment filtering, executive officers and compensation, and SEC filing histories, with symbol resolution and elicitation for ambiguous matches.

Acts as a bridge between Pickaxe Agents and Supabase PostgreSQL, exposing 15 MCP tools for the deathcare ecosystem.

Enables querying S&P 500 company data from Supabase through MCP tools covering company info, annual financials, historical price data, news sentiment, officers, and SEC filings. Includes embedded MCP App UI resources, elicitation for disambiguating company matches, and sampling support for browsing and testing the tools.

Enables querying S&P 500 company data from Supabase, including fundamentals, annual financial metrics, historical OHLCV prices, news with sentiment filtering, officers and compensation, and SEC filing history with type and date filters. Ships embedded MCP App UI resources for browsing and testing the tools, with elicitation to disambiguate company matches and sampling support.

Connects Claude to the Lever financial planning app, allowing users to fetch and manage their financial plans via a Supabase backend. It enables natural language interactions to view, add, remove, or modify financial events through a secure token-based connection.

Enables clients to query company fundamentals, annual financial metrics, historical daily prices, news sentiment, officers, and SEC filings from Supabase. It also provides embedded UI resources and a web app for browsing and testing these tools.