"Google BigQuery cloud data warehouse service" matching MCP servers:

Enables business services to push error logs and generate diagnostic reports using MCP tools for log searching, code querying, and report generation.

MCP server for the Codex Security Cloud service, enabling agents to list, inspect, close, reopen findings, request PRs, and apply generated patches.

Enables AI assistants to read Bitbucket Cloud pull requests and diffs through natural conversation.

Audits dbt Core projects for migration blockers and generates actionable guidance for migrating to dbt Cloud, including auto-fixing deprecated syntax.

A Model Context Protocol server that extracts embedded data (such as i18n translations or key/value configurations) from TypeScript/JavaScript source code into structured JSON configuration files.

A production-ready MCP server that provides comprehensive dbt project quality assessment for any GitHub repository, enabling AI agents to analyze dbt models, check metadata coverage, and map data lineage.

Enables AI agents to analyze and search IFS Cloud codebases using hybrid semantic-lexical search, PageRank importance ranking, and dependency graph analysis. It supports comprehensive exploration of PL/SQL, entities, and projection files to facilitate intelligent architectural understanding.

Enables AI coding assistants to run static analysis on GitHub repositories, raw code snippets, or local directories to detect cloud cost leaks in Terraform/AWS configs, PostgreSQL migration table-lock hazards, and OWASP/Next.js API security gaps. Each finding returns structured severity, line-level detail, and drop-in fixes.

Enables MCP clients to sign in, list workspaces, and inspect workspace-scoped review findings and hosted runs. It can also prepare and, after explicit user confirmation, start or rerun an existing hosted pull-request review without exposing raw diffs, full reports, artifacts, credentials, or prompt text.

Lets MCP-compatible clients sign in to inspect workspace-scoped review findings and hosted runs, and prepare or, after explicit confirmation, start or rerun an existing hosted review without exposing raw diffs, full reports, artifacts, credentials, or prompt text.

Enables users to list workspaces, inspect concise review summaries and findings, and prepare or, after explicit confirmation, start or rerun an existing hosted review. It does not expose raw diffs, full reports, artifacts, screenshots, credentials, or prompt text.

Enables authenticated users to list their workspaces and inspect concise, workspace-scoped review findings and hosted runs. It can also prepare and, after explicit user confirmation, start or rerun an existing hosted review without exposing raw diffs, full reports, artifacts, or credentials.

Enables MCP clients to sign in with a Juror Cloud account, list workspaces, and inspect concise, workspace-scoped review findings and hosted runs. It can also prepare and, after explicit user confirmation, start or rerun a hosted review without exposing raw diffs, reports, or credentials.

Enables an MCP client to sign in and inspect workspace-scoped review findings and hosted runs, and to prepare, then start or rerun after explicit confirmation, an existing hosted code review for a pull request. It exposes only concise summaries, never raw diffs, full reports, artifacts, credentials, or prompt text.

An OAuth-protected remote MCP server that lets users list workspaces, inspect concise review findings and hosted run summaries, and prepare or, after explicit confirmation, start or rerun a hosted Juror review.

Provides advanced Flutter development tools via Model Context Protocol with features including widget analysis, documentation search, performance optimization, and code generation.

Enables Cursor AI to query SonarQube for pull request metrics, issues, file issues, and duplication reports directly, without manual data export.

Gives coding agents source-grounded Apple developer knowledge by searching an index of WWDC20–WWDC26 sessions, Apple documentation, tutorials, Human Interface Guidelines, Swift Evolution, and App Store Review Guidelines. Enables API availability and deprecation lookups, transcript and "what changed" queries, guideline checks, and repo-level Swift app audits through 45 read-only tools.

Enables AI coding agents to quickly search and navigate large codebases by indexing symbols and references, offering tools for fuzzy symbol lookup, file outlining, and reference discovery without a language server.

Enables code agents to run risk-based Jev quality reviews on focused diffs through a read-only MCP tool, returning structured scores and weakness hints without modifying code.