"A server for searching the web" 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。

Give your AI agent the entire China A-share market: 55 datasets of prices, financials, capital flows, corporate events and futures/options, stored locally and queryable with read-only SQL. Built point-in-time with delisted stocks kept, so backtests don't lie — no account, no API key.

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.

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.

Gives AI clients guarded access to SAP Business One over SAP HANA / MS SQL and the Service Layer OData API. SQL is read-only, enforced on the server; Service Layer is GET-only by default, with opt-in writes that require user approval unless a profile explicitly turns it off.

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.

Enables exploring Microsoft Fabric / Power BI workspaces and semantic models, and executing ad-hoc DAX queries.

Enables an AI client to search Australian federal and South Australian government open data catalogues, inspect a dataset file's schema and sample rows, then run read-only SQL over the full file in a sandboxed DuckDB. Every answer carries the source URL, publisher and licence, with extra tools for ABN checksum validation and Australian financial-year dates.

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

A TypeScript-based server to interact with ArangoDB using the Model Context Protocol, enabling database operations and integration with tools like Claude and VSCode extensions for streamlined data management.

MCP server that allows Claude AI to interact directly with MySQL databases, enabling query execution and table information retrieval through natural language.

Enables access to the Recash1 API for searching and retrieving product information from a database, including filtering products and getting all products with their codes.

Enables integration with OpenMetadata by wrapping its REST API for standardized interaction through the Model Context Protocol.

A dedicated MCP server for interacting with Microsoft Dynamics 365 and Dataverse tools via the g-gremlin CLI. It enables users to read, analyze, and perform write operations on Dataverse environments through supported MCP clients.

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 consultation of Brazilian NFC-e (electronic invoice) data from the official SEFAZ BA source via a read-only MCP server, with pay-per-use credits.

Natural Language Analytics MCP server for Apache Druid. With this enterprise ready server in Java, one can query Apache Druid by natural language queries. Furthermore, the complete management like data loading of the Time Series Database Druid can be done with natural language commands.

A production-style MCP server exposing six business tools (web search, database, CRM, email, calendar, analytics) to AI clients via a secure, authenticated interface, with mock mode and a reference agent client.

Enables AI clients to securely interact with Oracle databases using natural-language prompts, translating requests into structured queries and returning results for AI-powered data access.

Enables AI clients to interact with PostgreSQL databases through natural language, translating requests into structured queries and returning results via a secure self-hosted server.

Enables a unified AI assistant that combines document retrieval (RAG), database queries via MCP tools, and web search, allowing users to ask complex questions and receive answers from multiple enterprise sources.

A dedicated Model Context Protocol server that enables AI clients to interact with Salesforce tools for data analysis and management via the g-gremlin CLI. It supports both read-only and write-enabled operations for seamless integration with tools like Claude Desktop and Cursor.

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.

Enables AI assistants to securely triage SuperOffice CRM support cases by retrieving tickets, running database diagnostics, searching knowledge bases, and orchestrating cross-system incident investigations.

Enables AI agents to look up Chinese laws and statutory articles fully offline from a local SQLite database, resolving a law name plus article number to verbatim text, searching articles by keyword, and retrieving a law's chapter structure and version history. It also verifies citations in bulk, checking whether each quoted provision exists word-for-word and is currently in force.

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

Enables AI assistants to inspect and manage a SQLite database by exposing MCP tools for reading statistics, introspecting schema, searching and paginating user records, creating, updating and deleting users, and running guarded read-only SQL queries. It also serves the same database operations over a RESTful HTTP API alongside a web signup portal, with hashed passwords and parameterized queries for safety.

A server that enables document searching using Vertex AI with Gemini grounding, improving search results by grounding responses in private data stored in Vertex AI Datastore.

Provides a semantic memory layer that integrates LLMs with OpenSearch, enabling storage and retrieval of memories within the OpenSearch engine.

Provides a MariaDB-backed scratchpad for writing, amending, and searching notes across separate conversations. Also harvests the auto-compacted summaries and hidden-event pointers of DSH session logs so they can be searched, expanded, and traced back to the full unredacted original text by seq or guid.