"Supabase platform and related information" matching MCP servers:

Analyzes codebases for cross-platform compatibility issues, detecting platform-specific APIs, file path problems, line ending inconsistencies, and shell command incompatibilities across Windows, macOS, and Linux.

Transforms codebases into a living knowledge graph with AI-powered code analysis, security scanning, and persistent semantic memory, leveraging Oracle 26ai vector and property graph capabilities.

MCP server that enables AI agents to analyze legacy code, plan and execute software migrations, generate modern source code, and validate production-ready artifacts through a multi-agent pipeline.

A high-performance MCP server integrated with a Django analytics dashboard, featuring 19 tools for AI interaction tracking, AST code analysis, and real-time token efficiency metrics.

Provides LLMs with code intelligence tools like relationship explanation, PR impact analysis, and health reports via the Model Context Protocol.

Code Intelligence Platform for AI Coding Assistants

Enables AI coding assistants to scan projects for security issues such as leaked API keys, missing Supabase RLS, open Firebase rules, unauthenticated routes, and hallucinated packages, then fix and verify the results.

Static security scanner for AI-generated (vibe-coded) Supabase and Next.js apps. Runs as an MCP server so an LLM can scan, explain findings, and produce fixes while it writes code, all locally and offline.

MCP server that provides npm package information for AI agents during TypeScript development.

Enables token-efficient structural code exploration using tree-sitter AST parsing, with tools for symbol search, outlines, source unfolding, call graphs, and related-file discovery.

Show an AI coding assistant only the code that matters for a change — callers, callees, and related functions packed into a token budget, with self-grading retrieval.

locidx

Interact with CodeLogic, a Software Intelligence platform that graphs complex code and data architecture dependencies, to boost AI accuracy and insight.

A local code-intelligence MCP server that provides structural, exact-query, related-search, and research capabilities from a validated repo-local index, enabling agents to perform deterministic lookups, semantic search, and code analysis.

Security MCP server with 300+ rules for AI-generated code. Scans Next.js, Supabase, Clerk, Stripe, Prisma, Hono, GraphQL and 20+ modules. Zero config, runs locally.

A server that enables fetching and filtering SonarCloud issues related to pull requests, making it easier to identify and fix code quality problems.

Provides tools for analyzing code repositories, including structure, dependencies, and git history, with special support for Nostr-related projects.

Enables coding agents to navigate and query source code by providing context, symbols, and call graph information through a graph index.

Enables AI coding agents to index local codebases and search them by natural-language intent, find related files through imports and semantic similarity, and check indexing status. All processing runs locally via MCP tools.

Predeploy security scanner for AI-generated code. 80+ vulnerability patterns across secrets, auth, injection, config, Supabase, and logging. Runs locally, code never leaves your machine. Optional x402 witnessed attestation.