"MCP Servers for Supabase" matching MCP servers:

Real human judgment as agent tools -- an AI agent can ask a question and get back a structured, schema-validated JSON answer from a real quality-scored human. 16 response types (yes/no, ratings, rankings, A/B tests, sentiment, image/video/audio review, voice/video/photo capture). Fully programmatic signup with a $5 free trial credit, no card required.

Free competitive pricing intelligence for SMB CPG brands. Check where any product price sits in its Amazon category, track pricing trends, and compare products — no NielsenIQ or SPINS subscription needed.

Institutional-grade quantitative stock analysis and research signals for AI agents via the Model Context Protocol (MCP).

Enables AI agents to invoke a local Stata installation, including a Windows Stata build under Wine on Linux and macOS, for regression analysis, econometrics, paper replication, and empirical research with command guards, resource monitoring, and automatic log capture.

A tool that helps users conduct comprehensive research on complex topics by exploring questions in depth, finding relevant sources, and generating structured, well-cited research reports.

Enables LLM clients to access crop yield predictions from RGB imagery, topic-based PDF literature, and soil lab/moisture CSV data.

Enables comprehensive academic research by searching and analyzing papers from PubMed, Google Scholar, ArXiv, and JSTOR. Provides full-text access, citation management, and research organization through five powerful consolidated tools.

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 AI agents to manage citations in Microsoft Word via EndNote, including DOI-verified paper search, RIS import/export, and genuine CWYW IEEE citations.

Enables agents to compute deterministic phase-locking value, signal-to-noise ratio, and subcortical temporal envelope encoding fidelity through JSON-RPC tool calls.

A Windows-optimized server providing universal data analytics for JSON and CSV files through over 32 tools including schema discovery and interactive visualizations. It is specifically designed for seamless integration with Claude Desktop on Windows.

Enables searching and retrieving organization records from the Research Organization Registry, with fuzzy affiliation matching.

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.

Standalone Model Context Protocol server for PropProfessor, plus a small query CLI for local analysis.

Enables AI agents to query Google Trends for search-interest signals, returning stable JSON envelopes with calibrated searches/day estimates, relative comparisons across keywords, related and rising queries, regional interest, and country-level Trending Now data. It also surfaces explicit status and error codes so agents can distinguish partial or failed results from real numbers.

MCP server for querying S\&P 500 company data from Supabase, providing tools for company info, financials, price data, news, officers, and SEC filings.

Enables searching for upcoming academic conferences and events from WikiCFP by keywords, returning detailed information including dates, locations, submission deadlines, and related resources.

MCP server providing data analytics tools for AI agents to load, clean, analyze data, generate charts and dashboards.

Enables querying Supabase-backed S&P 500 company data through MCP tools covering company profiles, annual financial metrics, historical OHLCV prices, news sentiment, officers, and SEC filings. Also ships a Next.js web app with embedded MCP App UI resources plus Elicitation and Sampling support for browsing and testing those tools.

Enables querying S&P 500 company data from Supabase through MCP tools for company info, annual financials, historical price data, news sentiment, officers, and SEC filings, with embedded UI resources and elicitation support.

Enables querying S&P 500 company data from Supabase through MCP tools covering company fundamentals, annual financial metrics, historical OHLCV price data, news sentiment, executive officers, and SEC filings. Ships with a Next.js web UI and embedded MCP App resources for browsing and testing those tools.

Enables users to query S&P 500 company fundamentals, annual financial metrics, historical OHLCV price data, news sentiment, executive officers, and SEC filings stored in Supabase through dedicated MCP tools. Also ships embedded MCP App UI resources plus elicitation and sampling support so clients can browse and test those tools interactively.

Allows users to search for academic conferences and events from WikiCFP by keywords, providing details such as event name, description, dates, location, and submission deadlines.

Enables querying of S&P 500 company data from Supabase, including fundamentals, annual financial metrics, historical price data, news sentiment, executive officers, and SEC filings. Also supports ambiguous-symbol resolution through elicitation and ships embedded MCP App UI resources for browsing and testing each tool.

Enables interaction with LimeSurvey API to create and manage surveys, questions, question groups, activate surveys, and export responses through standardized MCP endpoints.

An MCP server that connects Claude Desktop to PoetryQuill's live Supabase database. Ask Claude natural language questions about your platform data.

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 filings with type/date filters. It also serves embedded MCP App UI resources, resolves ambiguous company names via elicitation, and supports sampling for modern and legacy Streamable HTTP clients.

Give AI agents cited funding, money-market, FX and capital-market evidence through 16 public MCP tools. Keep source dates, freshness checks and coverage gaps attached; China macro coverage is metadata-only. No API key is required for the public surface. Research context only; no trade execution.

CNN's Fear & Greed index for the US stock market: current score and rating, the seven component indicators, and about a year of daily history. Go standard library only, no API key required.

MCP server that audits Brazilian parliamentary speeches for hate speech and offensive language using a fine-tuned BERTimbau classifier, returning classification, confidence, and human review recommendations.