"Redis 管理与巡检工具及方法" matching MCP servers:

一个基于Model Context Protocol的SQLite数据库查询服务，为AI应用提供标准化的数据库访问、安全的SQL查询执行以及表结构预览功能。

Enables agents to query a fully offline, 66.7-million-character Xi'an local gazetteer knowledge base without internet access or API keys. Exposes tools for knowledge-base statistics, category and book listings, tables of contents, keyword full-text search, and full or chunked article retrieval, with complete hierarchical paths on every result.

Enables MCP clients to securely query databases, list tables, inspect table schemas, and test connections across Oracle, SQL Server, MySQL, PostgreSQL, and SQLite using read-only SQL tools.

A Model Context Protocol server that exposes Firebase Firestore and Authentication to AI agents, supporting multi-project configurations and read operations.

Enables production lines to self-service register data sources and tools, and downstream AI agents to discover and invoke them through the standard MCP protocol.

Read-only MCP access to the p-e relay store: an append-only corpus of provenance-bearing coordination records, with tools to fetch a record by id, list records and replies, and check existence. This image serves a snapshot frozen at build time; append_relay is listed but refused, and deposits to the live store require an HMAC-signed request.

Provides an MCP protocol interface for interacting with Elasticsearch 7.x databases, supporting comprehensive search functionality including aggregations, highlighting, and sorting.

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.

Provides LLMs with persistent memory across conversations using a knowledge graph that stores entities, relationships, and observations with support for PostgreSQL or SQLite backends.

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 querying S&P 500 company data from Supabase, including company fundamentals, annual financial metrics, historical OHLCV price rows, news with sentiment filtering, executive officers and compensation, and SEC filing history. It also supports elicitation for disambiguating company matches and serves embedded MCP App UI resources for browsing and testing the tools.

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 of live organizational data (student records, outcomes, certifications, finances, donations, communications) via Claude using structured database queries and semantic search.

Enables querying S&P 500 company data from Supabase through natural language, covering company fundamentals, annual financial metrics, historical daily prices, news with sentiment filtering, executive officers, and SEC filing history. It also ships an embedded MCP App UI, elicitation for disambiguating company matches, and sampling support.

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 querying S&P 500 company fundamentals, annual financial metrics, historical price data, news sentiment, officers, and SEC filings from Supabase through MCP tools, with elicitation for resolving ambiguous company matches and embedded MCP App UI resources for browsing and testing.

Enables querying S&P 500 company data from Supabase through MCP tools for company fundamentals, annual financial metrics, historical OHLCV price data, news with sentiment filtering, executive officers and compensation, and SEC filing history. Includes embedded MCP App UI resources plus elicitation and sampling support, so clients with elicitation can resolve ambiguous company queries interactively.

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.

Read-only MySQL MCP server that lets AI agents list tables, describe schemas, and run SELECT/SHOW/EXPLAIN queries with a row cap, bound to a single database for safety.