"PostHog: Open-source product analytics platform" matching MCP servers:

Enables an AI agent to reverse-engineer a compiled program with Ghidra — inspecting decompiled code, instructions, callers, memory bytes, and strings — without any source code. Every reply is labelled as fact, computed, or guess, and each claim traces back to hash-checked saved evidence.

Exposes structured Microsoft Dynamics 365 Business Central source code (versions 23-29, 47 localizations) to AI agents via MCP, enabling fast lookups, searches, and code analysis.

Provides a memory server for coding agents over MCP, capturing and retrieving the meaning and rationale behind code decisions down to the function level. It enables agents to search product memory, get task context, and propose new memories to avoid re-deriving or re-breaking past decisions.

MCP server for searching, browsing, and analyzing decompiled Minecraft source code locally. Supports symbol lookup, text search, reference lookup, and lightweight RAG.

Open Kioku is the local-first code intelligence and evidence layer for AI coding agents (Claude, Cursor, Codex, Zed, and other MCP clients). Instead of letting agents blindly crawl files, guess blast radius, or read the entire repository repeatedly, Open Kioku gives them a precise, pre-indexed code index to build evidence-backed plans before they edit, and verify boundary limits after they edit.

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.

Analyzes source code dependencies across multiple programming languages in the specified directory to identify file relationships, assisting in dependency management and project structure understanding.

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.

The Fabric-Analytics-MCP server enables AI agents to interact directly with Microsoft Fabric using natural language. It transforms complex data engineering tasks—such as workspace management, data exploration, and job execution—into intuitive, conversational workflows for LLMs like Claude or GitHub

An MCP server that enables AI assistants to navigate, search, and analyze local Keycloak source code to support developer customizations like SPIs and authenticators. It provides tools for searching classes, generating boilerplate code, detecting breaking changes between versions, and tracing dependencies.

MCP server that builds a deterministic, source-traceable knowledge index of any codebase, enabling glossary lookup, code graphs, and exact-token search with every fact linked to its source file and line.

Indexes Unreal Engine source code into a local database, providing AI coding assistants with deep structural queries like class hierarchies, call graphs, and full-text search across all engine source files.

Enables AI tools to query precise, on-demand AOSP and AndroidX source code for class and method inspection, inheritance, source searches, and optional LSP-powered cross-file navigation.

Enables AI tools to query precise AOSP and AndroidX source code on demand, including class and method lookup, member listings, inheritance chains, source searches, and optional cross-file navigation via LSP.

Enables AI assistants to query real AOSP and AndroidX source code on demand, offering class and method lookup, class member and hierarchy inspection, source-wide text/regex search, and optional LSP-powered cross-file definition, reference, and type resolution from a local offline cache.

Enables on-demand, precise exploration of AOSP and AndroidX source code, including class and method lookup, hierarchy inspection, source searching, and optional cross-file navigation via LSP, so AI tools can reason about framework internals from actual source.

Enables AI tools to query precise AOSP and AndroidX source code on demand, including class and method lookups, hierarchy inspection, source searches, and optional cross-file navigation via LSP.

Enables users and AI tools to query synchronized AOSP and AndroidX source code on demand for precise inspection of Android framework internals and Jetpack libraries. Supports class and method lookup, class member listing, inheritance hierarchy, source search, and optional cross-file definition, reference, and type information via LSP.

Provides AI tools with on-demand, precise access to real AOSP framework and AndroidX source code, so they can search classes, extract exact method bodies with Javadoc, inspect inheritance hierarchies, and trace definitions and references across the entire tree. Sources are synced locally for fast, offline lookups, with optional language-server features for cross-file navigation.

Enables precise, on-demand exploration of AOSP and AndroidX source code, including class and method lookup, member listing, inheritance inspection, source searches, and optional LSP-powered cross-file definition and reference resolution.