"Information about Viewmax MCP for cloud" matching MCP servers:

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.

A Model Context Protocol server that helps programmers understand code by providing explanations, tech stack analysis, and best practice suggestions through prompt templates.

Turns a codebase into a persistent knowledge graph so AI coding agents can answer structural questions about functions, call chains, routes, and cross-service links through graph queries instead of reading files one by one.

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

Integrates Google's Gemini AI models into Claude Code and other MCP clients to provide second opinions, code comparisons, and token counting. It supports streaming responses and multi-turn conversations directly within your existing AI development workflow.

Provides AI agents with ground-truth knowledge of Strapi projects by reading real schema files, enabling accurate queries and safe refactoring operations.

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 MCP-compatible AI clients to inspect Godot project and editor state, observe opted-in running scenes, manage processes, and apply permission-scoped guarded edits. It starts read-only and exposes additional capabilities only through explicit command-line flags.

Uses Claude as an independent second-model reviewer inside Codex, performing reviews on disposable Git snapshots with structured findings.

Enables Claude Code to leverage OpenAI models for expert code review, deep architecture analysis, and security audits, with automatic markdown report generation.

MCP server giving Claude (and any MCP-compatible client) live access to SAP systems via ADT for reading, searching, editing, and activating ABAP objects.

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.

MCP server that brings Trustabl static reliability scanning into Cursor, letting agents inventory agents/tools, flag risky patterns, score production readiness, and write SARIF reports.

Enables OAuth-authenticated MCP clients to list workspaces, inspect concise findings and hosted run summaries, and, after explicit user confirmation, prepare or start/rerun hosted code reviews while avoiding raw diffs, full reports, artifacts, screenshots, credentials, and prompt text.

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.

Lets signed-in users list their Juror Cloud workspaces, inspect concise workspace-scoped pull-request review findings and hosted runs, and prepare—then, after explicit confirmation, start or rerun—a hosted code review without exposing raw diffs or reports.

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.