"A managed cloud provider that deploys my application" matching MCP servers:

An MCP server that enables AI to interact with the private 'my-design' React component library and design tokens for UI generation and technical support. It provides tools for component searching, API documentation retrieval, and migration guidance based on specific internal design specifications.

Provides code context and analysis for AI assistants by extracting directory structures and code symbols using WebAssembly Tree-sitter parsers with zero native dependencies.

Local-first MCP runtime for coding agents with bounded workspace access, content-preconditioned writes, AST search, LSP navigation and diagnostics, and Git status/diff. Designed to give coding agents useful repository access without treating unrestricted shell access as the default integration boundary.

A validation layer for AI coding assistants that enforces explicit LLM evaluations on plans, code diffs, and tests to ensure safer and higher-quality code.

MCP server that exposes code review tasks from the Fix My Comments VS Code extension to AI agents, enabling them to list, retrieve, reply to, and update task statuses.

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.

Enables AI clients such as Claude, Cursor, Cline, and Codex to remotely drive IDA Pro over HTTP through 88 tools, covering Hex-Rays decompilation, disassembly, cross-reference tracing, type and struct reconstruction, C header import, memory reading and patching, and full dynamic debugging with breakpoints, registers, and stepping.

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

A local MCP server that turns AI clients into power users of local git repositories, enabling clone, browse, search, and inspect code without burning API tokens.

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 Positive Technologies' static application security analyzer through MCP, exposing code analysis and vulnerability findings directly inside agent workflows. A bundled CLI also installs, configures, and updates the analyzer across supported agents on Windows, macOS, and Linux.

A local MCP server that captures coding context, tracks developer sessions, and powers daily insights.

A comprehensive MCP server providing arithmetic tools, dynamic file resources for frontend/backend documentation, reusable prompt templates for code review/debugging/testing, and complete development workflow management from requirements to deployment.

Codebase Q&A agent with git-history awareness. Explore a repo with list_files, read_file, and search, plus git log, blame, and diff and a repo map to answer "why did this change?" questions. Runs locally as an MCP server for Claude Code and other MCP clients.

Enables authenticated MCP clients to browse their Juror workspaces, inspect workspace-scoped review findings, and summarize open P0/P1 issues. It can also prepare and, after explicit user confirmation, start or rerun an existing hosted Juror Cloud review, without exposing raw diffs, reports, or credentials.

Enables MCP-compatible clients to list workspaces, inspect workspace-scoped review findings and hosted run summaries, and prepare, then after explicit user confirmation start or rerun, hosted reviews without exposing raw diffs, artifacts, or credentials.

Enables MCP clients to inspect workspace-scoped review findings and hosted runs, and to prepare and, after explicit confirmation, start or rerun a hosted Juror Cloud review. It is OAuth-protected, workspace-scoped, and never returns raw diffs, full reports, artifacts, credentials, or prompt text.

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-compatible clients to list workspaces, inspect workspace-scoped findings and hosted runs, and prepare or—after explicit user confirmation—start or rerun hosted reviews. It does not access arbitrary local repositories or return raw diffs, full reports, artifacts, screenshots, credentials, or prompt text.