"Deep research on Gemini" matching MCP servers:

An MCP server that enables advanced CSV analysis and data visualization using Google's Gemini AI and Plotly. It allows users to perform exploratory data analysis, generate interactive charts, and conduct complex reasoning on tabular data.

Provides tools for managing qualitative research knowledge graphs, enabling structured representation of research projects, participants, interviews, observations, codes, themes, and findings.

Enables MCP clients to search and analyze monthly Hacker News "Who is hiring?" threads by parsing free-form job comments into structured fields such as company, role, location, work mode, salary, visa, and technologies, with tools for listing threads, searching jobs, retrieving individual posts, and viewing hiring trends.

Connects AI assistants to a self-hosted Your Spotify instance and Spotify's Web API for deep listening analytics and playback control. It enables users to query unlimited listening history, generate custom Wrapped summaries, and manage playlists through natural language.

Enables declarative FDTD validation, guarded cloud-task workflows, and normalization of Tidy3D simulation results into metadata and bounded CSV observables, while keeping credentials and cloud-execution privileges isolated.

Provides MCP tools for AI assistants to retrieve compact daily futures data packets, submit manual market data, run whitelisted crawlers, search research summaries, and save/read historical reports on demand for caustic soda, PVC, and coking coal futures.

Enables local, offline ledger and replay operations for alpha research via five typed stdio tools, allowing status checks, report retrieval, method-card listing, replay execution, and run stopping without exposing live or submission capabilities.

Enables offline-first alpha research by providing a local stdio interface to query run status and reports, list approved method cards, execute replay runs, and stop runs, all without any submission capability.

An MCP server that tracks newly created liquidity pools on Uniswap across nine blockchain networks.

Enables restaurant management through natural language, allowing import of Toast CSV data, labor/sales analysis, tip pool calculations, task management, and note-taking.

A read-only MCP server that exposes dbt project artifacts and data quality result tables (BigQuery/Postgres) to LLM clients, enabling deep introspection, run-history analysis, source freshness, test coverage, and lineage walks.

MCP Server for executing XPath queries on XML content

Enables LLMs to retrieve, analyze, and visualize stock prices and financial report data for quantitative trading research and investment analysis. Provides real-time and historical stock data, financial statement analysis, key metric calculations, and trading signal visualization.

Provides Material Requirements Planning (MRP) tools for calculating delivery schedules, determining order needs, and performing MRP period calculations based on inventory levels, forecasts, and order constraints.

The server functions as an MCP server to interact with Notion for retrieving and creating survey data, integrating with the Claude Desktop Client for conducting and reviewing surveys.

Bring professional data to the AI you already use. QVeris connects AI assistants and workflows to services for company financials, social media, life sciences, research, patents, and e-commerce. Discover services, review scope and pricing, call them, and audit usage through one MCP connection. Requires a QVeris API key; charges depend on the selected service.

Remote MCP server for querying financial index data, running backtests, and building/deploying systematic investment strategies from any MCP-capable client.

Enables assistants to reach a local market-research lab over MCP, including provenance-tagged market snapshots, falsifiable theses with invalidation rules, strategy backtesting with overfitting checks, committee reviews, portfolio analysis, and report export.

Enables LLMs to perform analytical SQL queries on PostgreSQL/MySQL databases via DuckDB, with tools for querying, aggregation, and materialized views.

MCP server for integrating with Bika.ai platform, enabling AI assistants to perform CRUD operations on databases, manage attachments, and utilize automation and webhooks.

Enables AI agents to query permission-filtered world views, inspect evidence-backed signals, and trace timelines across integrated enterprise systems, handing deep investigation off to vertical MCP servers via verified capabilities.

A database operation server based on the MCP protocol, providing database connection, querying, schema exploration, data analysis, and SQL generation tools.

Enables SQL queries and schema exploration on Snowflake databases via the Model Context Protocol.

Enables AI assistants to search, screen, and analyze all 8,200+ NSE and BSE listed stocks with live quotes, financials, a 326-ratio screener, technical indicators, FII/DII flows, option chains and IV, corporate filings, IPOs, bulk deals, and portfolio P&L. It connects to clients such as Claude, ChatGPT, Cursor, VS Code, Codex, and Gemini CLI over either a remote OAuth endpoint or a local npx/uvx bridge.

Enables AI agents to conduct cited equity research with independent committee views, reproducible backtests, and a locally stored, auditable track record through five MCP tools.

Enables a local MCP-compatible AI client to query saved World of Warcraft: Forever auction, character, profession, recipe, item-source, and map data from a read-only local dashboard. It works without an AI subscription and keeps all research data on your own machine.

Enables natural-language interaction with a Databricks Lakehouse, including running SQL on warehouses, tracking and canceling long-running queries, and exploring Unity Catalog metadata via the workspace REST API.

Enables market-data analysis and quantitative research over a local Parquet lake with tools for bars, indicators, scans, backtests, and safe SQL queries.

Enables SQL queries on WeRead (微信读书) book data by syncing it into DuckDB, with an MCP server for agent-based analysis and cross-source joins.

Enables read-only Spark SQL queries against Apache Iceberg tables, allowing LLM clients to inspect schemas and run SELECT-style queries on HDFS/S3 data without Hive or Impala.