"using-the-internet-for-searches" matching MCP servers:

A read-only MCP server that lets AI agents run safe, specialized analytics over an internet shop's SQLite database, covering customers, products, orders, and revenue. It exposes no generic SQL or write tools, so agents can answer questions without modifying data.

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

Enables MCP-compatible clients to securely access and query NetSuite data using OAuth 2.0 with PKCE, including SuiteQL, reports, saved searches, and record operations.

Provides access to MySQL databases with fine-grained access control, supporting multiple databases simultaneously with configurable access modes (readonly, readwrite, full) and table-level permissions using whitelists, blacklists, wildcards, and regex patterns.

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.

Provides a scalable knowledge graph implementation for Model Context Protocol using Elasticsearch, enabling AI models to store and query information with advanced search capabilities, memory-like behavior, and multi-zone architecture.

The server connects the Claude AI to the internet through the capabilites of the LSD SQL language, turning web data into a queryable database-like structure to interact with real-world data efficiently.

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

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.

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.

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.

MCP server enabling real-time weather queries via Tavily API and internet usage data by country via MongoDB.

Enables querying the SIMBAD astronomical database for object resolution, script execution, ADQL TAP queries, and cone searches using natural language.

Enables AI clients to securely interact with Salesforce data using natural language, translating prompts into structured queries for analysis, reporting, and business insights.

Enables AI agents to search and retrieve UK company data, including company details by Companies House number, group ownership structures, website associations, and Real-Time Industrial Classification definitions.

Enables AI clients to securely access and query MySQL databases using natural-language prompts, converting them into structured queries and returning clean results.

MCP server that connects AI assistants to Redash, enabling listing of assets, read-only query execution, dashboard inspection, and alert management through the Redash API.

Exposes a governed dbt MetricFlow semantic layer to AI agents through three tools — list metrics, list dimensions and query metrics — so questions about federal contract spend are answered from defined metrics rather than raw tables. Guardrails reject undefined metrics, raw columns, SQL in filters and bulk exports, and no tool can execute SQL.

A safety-gated Python MCP server for Metabase that lets MCP clients and agents inspect Metabase, run governed queries, and create or maintain dashboards, cards/questions, collections, snippets, permissions, and other Metabase assets through the Metabase REST API.

Enables AI clients to interact with SQLite databases using natural language, translating prompts into structured queries and returning clean results for analysis and reporting.