"Building a Flutter and Go Application with PocketBase Backend Deployed on Oracle Cloud" matching MCP servers:

An MCP server that wraps Flutter CLI tools into structured, agent-friendly tools for AI coding agents, with features like two-phase test results, output capping, and managed app lifecycle.

Enables coding agents to load backend anti-slop rules and deterministically audit TypeScript/backend files for violations like SELECT *, SQL interpolation, N+1 calls, silent catches, stack leaks, type escapes, and TODOs, plus verify TypeScript compilation. Returns PASS/FAIL findings so agents can fix issues before shipping.

Provides Flutter best practices, code analysis, and state management recommendations for senior developers.

Enables interaction with the Flutter SDK by providing tools to analyze and apply fixes to Dart and Flutter files.

Enables Android APK reverse engineering and Flutter runtime injection through a six-step pipeline of decompile, analyze, synthesize, inject, patch, and repackage. Provides MCP tools for authorized security research and penetration testing.

Enables consulting oracle AI models (Codex or Claude) for expert reasoning and analysis on complex problems, architectural decisions, and design tradeoffs through a unified CLI interface.

Enables AI agents to perform read-only static analysis of Node.js backend projects, detecting database query anti-patterns, async bottlenecks, connection pooling mistakes, and dependency hygiene issues while returning structured evidence-backed findings.

Enables querying Go module versions, metadata, and go.mod contents by wrapping proxy.golang.org, providing tools for version listing and dependency analysis.

Enables AI coding agents to extract Figma design data and convert it into Flutter widgets and screens. Supports theme setup, component analysis, asset exports, and provides Flutter implementation guidance from Figma designs.

Enables AI agents to safely inspect Oracle Database schemas, objects, and PL/SQL source with a strict read-only guard, without ever modifying data.

Source-code intelligence for agents, powered by OpenGrok and Go.

A local, read-only MCP server that analyzes Python backend projects by providing tools to scan, map, and selectively read files, reducing token usage for AI clients.

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.

Enables AI coding agents to verify code patches locally with sub-50ms neuro-symbolic analysis, detecting structural issues like dependency cycles and interface drift without consuming output tokens.

Enables users to query dependency security data in natural language, including trust scores for individual packages, full project scans, blast radius analysis, zombie and typosquat detection, package comparisons, and safer migration suggestions. Results can be returned inline or written as JSON reports.

One MCP server for golangci-lint, govulncheck, and nilaway — a unified Diagnostic\[] array with consistent file:line:column navigation, parallel execution, and zero-config auto-install - for golang development.

Enables AI assistants to inspect and query Oracle Forms modules (blocks, triggers, program units, etc.) without Forms Builder, supporting reverse engineering, code review, and modernization.

MCP server for automated architectural mapping, security vulnerability detection, ML asset tracking, and code metrics in local repositories.

Repository: https://github.com/710git/course-drift-oracle Server name: Course Drift Oracle Transport: streamable HTTP Endpoint: https://signetworks.atelieri.workers.dev/mcp One-line summary: Signed drift reports for the ai-agents-for-beginners course - retired model pins and stale package floors, verified. Description: Scans a course repository for model pins that name a deprecated or retired de

Analyzes software projects to extract architecture, build dependency graphs, and predict the impact of code changes.