"General search query" matching MCP servers:

Model Context Protocol server that lets AI assistants explore and query SAP Datasphere — metadata discovery, catalog search, OData and SQL queries, ETL extraction, data lineage and column profiling — with built-in config-driven PII masking.

Securely query Dune Analytics with LLMs. Features budget protection, query reuse, and optimized data summaries

Enables LLMs to query live data from over 250+ sources via CData Python Connectors using natural language. Wraps connectors as a Model Context Protocol server.

Open-source agentic schema layer. Define metrics once in YAML, query governed data from any warehouse (Snowflake, BigQuery, Databricks, PostgreSQL, DuckDB) via MCP.

Enables AI tools to query sports tournaments, leaderboards, predictions, and match stats from the Tulidu Sport platform.

Enables Claude to query and manipulate GRID spreadsheets via the GRID API using natural language.

MCP server for the Ouro platform, enabling AI agents to search, read, query datasets, create content, and execute API routes on Ouro through the Model Context Protocol.

MCP server for Valorant esports analytics that exposes structured metrics and database query tools, enabling AI-assisted match analysis, player profiling, scouting reports, and coaching insights.

Enables AI agents to query live schema, lineage, and query-context across data warehouses, dbt projects, orchestration systems, and BI tools via MCP tools.

Enables Claude to query a Postgres analytics schema via a read-only MCP server, with tools auto-generated from live database introspection and configurable SQL queries defined in YAML.

Universal Database MCP Server enabling AI assistants to connect and query multiple databases including Databricks, BigQuery, PostgreSQL, MySQL, SQL Server, SQLite, and MariaDB through a unified interface.

Enables LLMs to query and analyze data across multiple MySQL databases with enterprise data federation, intelligent caching, cross-system analytics, and automated schema discovery for comprehensive business intelligence.

A server implementation of MCP for Apache Spark that provides query plans and catalog information to AI systems for query optimization and data discovery.

Enables AI assistants to query and optionally modify AJEMS workspaces, including apps, forms, and records, without requiring user login.

A single MCP server that lets agents query data through the Greybeam routing layer with Snowflake-compatible tooling.

Enables AI assistants to query and analyze data from Cube.js analytics platforms, allowing natural language access to cubes, measures, dimensions, and complex analytics queries.

A Model Context Protocol (MCP) server that provides MetricFlow CLI tools through both SSE and STDIO interfaces, enabling users to query metrics, list dimensions, and perform other MetricFlow operations via natural language.

A standalone MCP server plus admin GUI for Couchbase Enterprise Analytics and Couchbase Capella Analytics, exposing 55 well-typed, audited tools for query execution, schema introspection, and cluster management.

Enables AI assistants to audit data governance, check access control roles, query namespaces, and inspect Iceberg metadata.

Exposes the Zoho Analytics API v2 as an MCP server, enabling Claude and other clients to query, manage, and analyze Zoho Analytics data through natural language.