"Information or Source Code for Roo Programming Language or Tool" matching MCP servers:

Enables AI coding agents to interact with TypeScript projects through compiler-level code intelligence, providing tools for navigation, type information, diagnostics, refactoring, and semantic search.

TypeScript-based MCP server designed to enhance code editing experiences by providing features such as hover information, code completion, and diagnostics.

Runs a language server and provides tools for communicating with it. Language servers excel at tasks that LLMs often struggle with, such as precisely understanding types, understanding relationships, and providing accurate symbol references.

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.

A tool discovery MCP server that integrates with Azure DevOps wikis and code-graph-rag to match natural language goals to tools, enabling tool composition and proxy testing.

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

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

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.

Enables Codex to read, write, and design windows for E-language (易语言) programs using official IDE APIs, allowing natural language control of development workflows.

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.

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.

Exposes VSCode's Language Server Protocol features through MCP, enabling AI assistants to perform language-aware operations like symbol navigation, reference tracking, safe renaming, type information retrieval, and hover documentation across codebases.

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.

Enables mapping JavaScript error stack traces back to original source code, extracting context information to help developers locate and fix issues.

Enables comprehensive code analysis including quality assessment, security vulnerability detection, refactoring suggestions, complexity calculations, and automatic documentation generation for multiple programming languages.

Provides on-demand access to AOSP and Jetpack source code to help AI understand Android framework internals. It features a hybrid architecture using Tree-sitter and LSP for precise code extraction, cross-file navigation, and local source indexing.

Self-hosted MCP server using Ollama for local AI-powered code analysis, refactoring, and optimization. Integrates with VS Code via Continue or Roo.

Enables users to read code with selection-based floating explanations, file-purpose summaries, interactive code mind maps, and source navigation, available as an independent web app or Codex plugin. It supports local-only reading workflows, model selection, caching, and project context without sending chat messages.

Enables a coding agent to inspect Go HTTP endpoints and their MySQL table interactions, view SQL/source evidence, and collaboratively create or update diagram tabs on a shared browser canvas via MCP.

Enables coding agents to find code by what it does rather than what it's called, searching local projects and remote GitHub or Bitbucket repositories all at once. Indexing and semantic search run fully offline with a locally loaded model, so code never leaves the machine.

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.

A Cloudflare Worker that analyzes source code to provide comprehensive explanations including architecture diagrams, core functionality analysis, and component breakdowns across multiple programming languages.

Enables users to submit source code and natural-language refactoring instructions and receive modernized code that preserves existing public interfaces and behavior. It also supports checking the configured inference backend status.

CodeGuard MCP is a real-time AI code security scanning tool used to detect vulnerabilities, keys, and compliance issues in AI-generated code, and is suitable for code security reviews in development environments

Enables AI coding agents to submit code, files, or diffs for deterministic checks and optional re-verified LLM repair, returning cleaned code, structured findings, and a pass/fixed/reject verdict.

Provides AI assistants with on-demand, precise access to real AOSP and AndroidX source code, enabling class and method lookups, class member and hierarchy inspection, source-wide text/regex search, and optional cross-file definition, reference, and type resolution via LSP. Sources are synced locally for instant offline queries against framework internals like the Activity lifecycle, ViewModel restoration, and Compose internals.

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 access to AOSP and AndroidX source code, letting AI tools search classes, inspect methods, trace inheritance, and resolve definitions and references across Android framework and Jetpack libraries.

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 precise, on-demand access to AOSP framework and Jetpack/AndroidX source code so AI tools can inspect classes, methods, inheritance hierarchies, and cross-file references.

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 AI tools to query precise, on-demand AOSP and AndroidX source code from a locally synced cache, covering class searches, exact method bodies with Javadoc, class members, inheritance chains, and full-tree text or regex searches. Optionally adds cross-file navigation such as go-to-definition, find-references, and type info when language server support is enabled.

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.

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.

Enables AI assistants to query the actual AOSP and AndroidX source code locally, searching classes, extracting method bodies and Javadoc, listing class members, resolving inheritance hierarchies, and (via optional LSP) finding cross-file definitions and references. This gives precise, offline access to framework internals like the Activity lifecycle or Compose internals instead of relying on outdated training data.

Enables on-demand, precise access to AOSP and AndroidX source code, allowing AI tools to inspect framework internals, search classes and methods, trace inheritance and references, and retrieve type information from a locally synced cache.

Enables AI assistants to search and read real AOSP and AndroidX source code on demand, including class lookups, precise method bodies with Javadoc, inheritance hierarchies, regex source search, and optional LSP-powered cross-file definition, reference, and type information. Sources are synced locally so framework internals like the Activity lifecycle, ViewModel restoration, or Compose internals can be inspected offline without relying on outdated training data.

Provides on-demand, precise access to AOSP and AndroidX source code so an AI can look up classes, extract method bodies and documentation, inspect inheritance, and optionally perform cross-file symbol navigation via LSP.