CICADA alternatives

1

Sourcerer MCP

Semantic code search & navigation MCP server for efficient AI agent context retrieval.

Sourcerer MCP provides a Model Context Protocol (MCP) server that enables AI agents to perform semantic code search and navigation. By indexing codebases at the function, class, and chunk level, it allows agents to retrieve only the necessary code snippets, greatly reducing token consumption. The tool integrates with Tree-sitter for language parsing and OpenAI for generating code embeddings, supporting advanced contextual code understanding without full file ingestion.

95 11 MCP

2

Exa MCP Server

Fast, efficient web and code context for AI coding assistants.

Exa MCP Server provides a Model Context Protocol (MCP) server interface that connects AI assistants to Exa AI’s powerful search capabilities, including code, documentation, and web search. It enables coding agents to retrieve precise, token-efficient context from billions of sources such as GitHub, StackOverflow, and documentation sites, reducing hallucinations in coding agents. The platform supports integration with popular tools like Cursor, Claude, and VS Code through standardized MCP configuration, offering configurable access to various research and code-related tools via HTTP.

3,224 244 MCP

3

In Memoria

Persistent memory and instant context for AI coding assistants, integrated via MCP.

In Memoria is an MCP server that enables AI coding assistants such as Claude or Copilot to retain, recall, and provide context about codebases across sessions. It learns patterns, architecture, and conventions from user code, offering persistent intelligence that eliminates repetitive explanations and generic suggestions. Through the Model Context Protocol, it allows AI tools to perform semantic search, smart file routing, and track project-specific decisions efficiently.

94 17 MCP

4

GitMCP

Instantly turn any GitHub repository into an AI-ready documentation hub.

GitMCP is a free, open-source, remote Model Context Protocol (MCP) server that gives AI assistants real-time access to the latest documentation and code from any GitHub repository. It transforms any GitHub project into an accessible documentation hub, enabling AI tools to deliver accurate results, reduce hallucinations, and improve code correctness. Supporting both specific and generic server modes, it allows seamless integration into developer workflows with zero setup. GitMCP emphasizes privacy, flexibility, and up-to-date information retrieval.

6,916 571 MCP

5

Lucidity MCP

Intelligent prompt-based code quality analysis for AI coding assistants.

Lucidity MCP is a Model Context Protocol (MCP) server that empowers AI coding assistants to deliver high-quality code through intelligent, prompt-driven analysis. It offers comprehensive detection of code issues across multiple quality dimensions, providing structured and actionable feedback. With language-agnostic capabilities, extensible framework, and flexible transport options, Lucidity MCP seamlessly integrates into developer workflows and AI systems.

72 20 MCP

6

AI Distiller (aid)

Efficient codebase summarization and context extraction for AI code generation.

AI Distiller enables efficient distillation of large codebases by extracting essential context, such as public interfaces and data types, discarding method implementations and non-public details by default. It helps AI agents like Claude, Cursor, and other MCP-compatible tools understand project architecture more accurately, reducing hallucinations and code errors. With configurable CLI options, it generates condensed contexts that fit within AI model limitations, improving code generation accuracy and integration with the Model Context Protocol.

106 12 MCP

7

Code Declaration Lookup MCP Server

Fast, language-agnostic code declaration search and lookup server via MCP.

Provides a Model Context Protocol (MCP) server that indexes code declarations using universal ctags and SQLite with FTS5 full-text search. Offers search and listing functionality for functions, classes, structures, enums, and other code elements across any language supported by ctags. Enables seamless integration with coding agents for dynamic indexing, respects .gitignore, and supports ctags file ingestion and management.

2 1 MCP

8

Biel.ai MCP Server

Seamlessly connect IDEs to your company’s product documentation using an MCP server.

Biel.ai MCP Server enables AI tools such as Cursor, VS Code, and Claude Desktop to access and utilize a company’s product documentation and knowledge base through the Model Context Protocol. It provides a hosted RAG layer that makes documentation searchable and usable, supporting real-time, context-rich completion and answers for developers. The server can be used as a hosted solution or self-hosted locally or via Docker for advanced customization.

2 2 MCP

9

Driflyte MCP Server

Bridging AI assistants with deep, topic-aware knowledge from web and code sources.

Driflyte MCP Server acts as a bridge between AI-powered assistants and diverse, topic-aware content sources by exposing a Model Context Protocol (MCP) server. It enables retrieval-augmented generation workflows by crawling, indexing, and serving topic-specific documents from web pages and GitHub repositories. The system is extensible, with planned support for additional knowledge sources, and is designed for easy integration with popular AI tools such as ChatGPT, Claude, and VS Code.

9 2 MCP

10

MCP Claude Code

Claude Code-like functionality via the Model Context Protocol.

Implements a server utilizing the Model Context Protocol to enable Claude Code functionality, allowing AI agents to perform advanced codebase analysis, modification, and command execution. Supports code understanding, file management, and integration with various LLM providers. Offers specialized tools for searching, editing, and delegating tasks, with robust support for Jupyter notebooks. Designed for seamless collaboration with MCP clients including Claude Desktop.

281 33 MCP

11

MCP Local RAG

Privacy-first local semantic document search server for MCP clients.

MCP Local RAG is a privacy-preserving, local document search server designed for use with Model Context Protocol (MCP) clients such as Cursor, Codex, and Claude Code. It enables users to ingest and semantically search local documents without using external APIs or cloud services. All processing, including embedding generation and vector storage, is performed on the user's machine. The tool supports document ingestion, semantic search, file management, file deletion, and system status reporting through MCP.

10 3 MCP

12

Mindpilot MCP

Visualize and understand code structures with on-demand diagrams for AI coding assistants.

Mindpilot MCP provides AI coding agents with the capability to visualize, analyze, and understand complex codebases through interactive diagrams. It operates as a Model Context Protocol (MCP) server, enabling seamless integration with multiple development environments such as VS Code, Cursor, Windsurf, Zed, and Claude Code. Mindpilot ensures local processing for privacy, supports multi-client connections, and offers robust configuration options for server operation and data management. Users can export diagrams and adjust analytics settings for improved user control.

61 8 MCP

13

codelogic-mcp-server

Leverage CodeLogic’s dependency data for AI-powered impact analysis.

Codelogic-mcp-server implements an MCP (Model Context Protocol) server, enabling integration of CodeLogic's software dependency data into AI programming assistants. It provides tools for code and database impact assessments by interacting with a CodeLogic server, enhancing context-aware code and database analysis. The server supports integration with popular IDEs, including VS Code and Claude Desktop, using Astral UV/UVX for communication. This solution is designed to bring actionable dependency insights to AI coding workflows.

31 14 MCP

14

Vercel AI SDK Documentation MCP Agent

AI-powered documentation agent for Vercel AI SDK with Model Context Protocol support.

The Vercel AI SDK Documentation MCP Agent is a server implementing the Model Context Protocol to enable AI-powered search and conversational querying of the Vercel AI SDK documentation. It features natural language understanding, semantic search using FAISS, and session-based context management for in-depth assistance. Integration with popular MCP clients like Claude Desktop and Cursor ensures seamless use in developer workflows. Automated documentation indexing and a Gemini-powered agent enhance accuracy and contextuality of responses.

41 8 MCP

15

RAG Documentation MCP Server

Vector-based documentation search and context augmentation for AI assistants

RAG Documentation MCP Server provides vector-based search and retrieval tools for documentation, enabling large language models to reference relevant context in their responses. It supports managing multiple documentation sources, semantic search, and real-time context delivery. Documentation can be indexed, searched, and managed with queueing and processing features, making it highly suitable for AI-driven assistants. Integration with Claude Desktop and support for Qdrant vector databases is also available.

238 29 MCP

16

21st.dev Magic AI Agent

Instantly create and enhance UI components through natural language in your IDE.

21st.dev Magic AI Agent enables developers to generate, preview, and integrate modern UI components using natural language commands directly within popular IDEs. It leverages the Model Context Protocol for seamless interoperability, supporting automated installation and configuration across tools like VSCode, Cursor, Windsurf, and Cline. With a vast library based on 21st.dev assets and advanced features such as TypeScript support and real-time previews, it streamlines the UI development workflow. The solution also supports customization, enhancements, and integration of brand assets through SVGL.

3,919 260 MCP

17

SonarQube MCP Server

Model Context Protocol server for AI access to SonarQube code quality metrics.

SonarQube MCP Server offers a Model Context Protocol (MCP) server that integrates with SonarQube, enabling AI assistants to access code quality metrics, issues, and analysis results programmatically. It supports retrieving detailed quality metrics, filtering issues, reviewing security hotspots, analyzing branches and pull requests, and monitoring project health. The server facilitates multi-project analysis, contextual code review, and improved assistant workflows through a standardized protocol.

101 16 MCP

18

Smart Tree

Lightning Fast Directory Visualization and AI-Enabled Context Compression.

Smart Tree is a high-performance directory visualization tool built with Rust, offering advanced context management and AI-integrated features. It supports persistent memory anchoring, compressed context formats for reduced token usage, and real-time, interactive terminal UI via Spicy TUI mode. The tool provides programmatic hooks for MCP compliance, enabling AI assistants to recall and leverage project insights efficiently.

175 15 MCP

19

Shrimp Task Manager

Intelligent task management for AI-powered development workflows.

Shrimp Task Manager is an MCP (Model Context Protocol) server designed to enhance AI-driven software development by persisting project context, breaking down complex tasks, and guiding structured workflows. It integrates with MCP-compatible clients such as Claude Code to maintain task memory across sessions and streamline planning and execution. The system enables persistent memory, context preservation, and automated task decomposition, helping AI models work more efficiently and effectively within project constraints.

1,868 230 MCP

20

MCP-NixOS

Stop AI hallucinations about NixOS packages—get accurate, real-time information.

MCP-NixOS is a Model Context Protocol server designed to provide AI assistants with accurate, up-to-date information about NixOS packages, configuration options, Home Manager settings, and nix-darwin configurations. By interfacing with NixOS and NixHub.io, it enables detailed package search, version history, and configuration queries, drastically reducing AI-generated inaccuracies. It works cross-platform and can be deployed via different methods including uvx, Nix, and Docker.

328 17 MCP

21

mcp-paperswithcode

Discover and analyze research papers and code repositories through the PapersWithCode API.

mcp-paperswithcode provides a Model Context Protocol (MCP) interface for AI assistants to discover, search, and analyze research papers, related code repositories, datasets, authors, conferences, and research areas. The tool enables seamless integration with the PapersWithCode API, offering powerful methods for context-aware research exploration. It supports searching, retrieving metadata, extracting content, and listing relationships between academic resources, enhancing an AI model's ability to access and utilize scientific content.

14 7 MCP

22

Wren Engine

Semantic Engine for MCP Clients and AI Agents

Wren Engine is a semantic engine designed for Model Context Protocol (MCP) clients and AI agents. It enables precise access to enterprise data by providing semantic understanding, trusted aggregations, and business term clarity across numerous data sources. With a focus on accurate context, calculation, and governance, it equips AI systems to interact safely and meaningfully with complex enterprise data. As part of the MCP ecosystem, it connects LLMs with databases and enterprise tools through standardized protocols.

496 138 MCP

23

CrateDocs MCP

MCP server for Rust crate documentation lookup and search

CrateDocs MCP is an MCP (Model Context Protocol) server designed to provide AI models with access to Rust crate documentation. It enables lookup of crate-level and item-level documentation, as well as efficient searching of Rust crates on crates.io. The system supports various server modes, offers multiple output formats, and includes features for both developers and large language models.

9 2 MCP

24

Desktop Commander MCP

AI-powered local tool for managing files, processes, and terminals using Model Context Protocol.

Desktop Commander MCP enables users to search, manage files, run terminal commands, and automate development tasks through Model Context Protocol (MCP). It offers interactive process management, in-memory code execution, advanced file operations, pattern-based file editing, and comprehensive audit logging. Built on top of MCP Filesystem Server, it integrates multiple developer tools within a conversational interface, supporting enhanced process control and efficient workflow automation.

4,883 541 MCP

25

Package Registry MCP Server

MCP server for searching and retrieving package registry information.

Package Registry MCP Server provides a Model Context Protocol interface that enables AI assistants and agents such as Claude, Cursor, and Copilot to search and retrieve up-to-date information from major package registries. It supports searching and querying detailed data for NPM, crates.io, NuGet, PyPI, and Go modules directly from the source registries. Integrations are provided for various AI tools, facilitating easy and standardized package data access.

28 6 MCP

26

Rust Docs MCP Server

Serving up-to-date Rust crate documentation as an MCP server for coding assistants.

Rust Docs MCP Server provides AI coding assistants with a focused tool to query current documentation for specific Rust crates. It runs as a standard MCP server over stdio, enabling context-driven semantic searches and LLM-generated answers based only on retrieved documentation. It fetches crate docs, generates embeddings, and leverages OpenAI APIs for accurate and relevant code support, with support for caching and multi-crate operation.

208 30 MCP

27

Aibolit MCP Server

MCP server providing critical design feedback for Java code analysis.

Aibolit MCP Server acts as a bridge between AI code assistants and the Aibolit Java code analyzer, delivering assessments of the most critical design issues in a codebase. It integrates with agents such as Claude Code to help prioritize significant refactoring tasks over minor, cosmetic changes. The tool supports Node.js environments and leverages the Aibolit analysis engine to guide AI agents in making informed, impactful code improvements.

20 5 MCP

28

Trieve

All-in-one solution for search, recommendations, and RAG.

Trieve offers a platform for semantic search, recommendations, and retrieval-augmented generation (RAG). It supports dense vector search, typo-tolerant neural search, sub-sentence highlighting, and integrates with a variety of embedding models. Trieve can be self-hosted and features APIs for context management with LLMs, including Bring Your Own Model and managed RAG endpoints. Full documentation and SDKs are available for streamlined integration.

2,555 229 MCP

29

FileScopeMCP

Instantly understand and visualize your codebase structure & dependencies.

FileScopeMCP is a TypeScript-based server that implements the Model Context Protocol to analyze codebases, rank file importance, and track dependencies. It provides AI tools with comprehensive insights into file relationships, importance scores, and custom file summaries. The system supports visualization through Mermaid diagrams, persistent storage, and multi-language analysis for easier code comprehension. Seamless integration with Cursor ensures structured model context delivery for enhanced AI-driven code assistance.

256 26 MCP

30

SafeDep VET

Enterprise-grade open source software supply chain security with MCP capabilities.

SafeDep VET is an open source tool that provides supply chain security for open source software, featuring advanced software composition analysis and policy-as-code driven security enforcement. It supports multiple package ecosystems and integrates with CI/CD pipelines. Notably, it offers an MCP (Model Context Protocol) server mode to vet open source packages arising from AI-suggested code, and includes agent-based querying and scan result analysis powered by AI. The tool enables real-time malicious package detection through cloud integration and prioritizes actionable insights by analyzing actual code usage.

829 68 MCP

31

MCP Pointer

Point to browser DOM elements for agentic coding tools via MCP.

MCP Pointer is a tool that combines a Chrome Extension and a local MCP Server to bridge browser DOM element selection with agentic coding tools through the Model Context Protocol. Users can visually select DOM elements in the browser using Option+Click, capturing rich contextual information such as text, CSS, and attributes. The MCP server exposes this data to AI-powered tools like Claude Code, Cursor, and Windsurf via a standardized protocol. This enables seamless, real-time transfer of in-browser context to AI coding assistants.

519 47 MCP

32

deploy-mcp

Universal Deployment Tracker for AI Assistants

deploy-mcp offers a universal tool for tracking and monitoring deployments across various platforms within AI conversation environments. It eliminates the need for dashboard navigation by integrating deployment status and management directly into AI assistants via a standardized protocol. The tool supports multiple platforms such as Vercel, Netlify, and Cloudflare Pages, allowing for real-time monitoring and multi-platform configuration using secure tokens. Its streamlined setup enables users to check deployment status, view logs, and monitor progress through conversational commands.

3 2 MCP

33

react-analyzer-mcp

Analyze and generate documentation for React components with Model Context Protocol integration.

react-analyzer-mcp analyzes React component source files (JSX/TSX) to extract information about components and their props. It features tools for analyzing individual components or entire project folders and can generate structured documentation automatically. The tool is designed to operate as an MCP (Model Context Protocol) server and integrates with AI assistants like Claude to provide real-time, context-aware analysis. Installation and usage workflows are streamlined for project integration, supporting both CLI and conversational interfaces.

51 3 MCP

34

GitKraken CLI

Powerful command-line tool for streamlined Git workflows and MCP server integration.

GitKraken CLI provides an advanced command-line interface for managing multiple Git repositories and work items efficiently. It includes a local MCP server, enabling seamless integration with git, GitHub, Jira, and compatibility with tools leveraging LLMs. The tool supports AI-powered commit messages, pull request generation, and robust context handling for collaborative and multi-repo workflows. Installation is available for macOS, Windows, and Unix systems.

316 240 MCP

35

dev.augments/mcp

Real-time framework documentation provider and context enhancer for Claude Code via MCP.

Augments MCP Server delivers comprehensive, real-time framework documentation and context-aware assistance for developers, integrating seamlessly with Claude Code through the Model Context Protocol. It aggregates and prioritizes multi-source documentation, employs advanced caching and hot-reloading, and enhances context with compatibility analysis and task-specific insights. It offers structured, validated JSON outputs and robust error handling for a modern, resilient developer experience.

79 10 MCP

36

char-index-mcp

Character-level string manipulation tools via MCP server.

char-index-mcp is a Model Context Protocol (MCP) server offering character-level, index-based string manipulation tools. It provides utilities for finding, splitting, and modifying strings with precise control over character positions, making it highly suited for test code generation that requires exact text handling. The server can be easily installed and integrated with platforms like Claude and Cursor, and features batch processing and regex-based utilities.

0 1 MCP

37

TSGram MCP

Bring Claude Code AI to Telegram via local Model Context Protocol server.

TSGram MCP connects Claude Code sessions with Telegram using a local server and Docker, enabling AI-powered code assistance within Telegram chats. It allows users to query, edit, and manage codebases directly from their mobile devices, while keeping all data local for privacy. The setup process is streamlined with support for both AI-guided and CLI-based installation, making integration with existing projects simple. A local web dashboard aids in bot management, ensuring secure and efficient context handling between user code and language models.

90 22 MCP

38

iterm-mcp

MCP server for sharing and controlling your iTerm session with AI models.

iterm-mcp is a Model Context Protocol (MCP) server that enables AI models to access, inspect, and control an active iTerm terminal session. It allows models to read terminal output, write commands, interact with REPLs, and send control characters directly to the terminal. Designed for efficient token usage and seamless integration with desktop AI clients like Claude Desktop, iterm-mcp can be installed easily and comes with minimal dependencies. The tool emphasizes user oversight and provides debugging support through the MCP Inspector.

481 53 MCP

39

io.github.cr7258/elasticsearch-mcp-server

MCP server for seamless interaction with Elasticsearch and OpenSearch.

Implements a Model Context Protocol (MCP) server enabling robust integration with Elasticsearch and OpenSearch clusters. Offers a standardized set of tools for managing indices, documents, clusters, data streams, and aliases, along with configurable authentication and operation restrictions. Supports secure access and flexible configuration via environment variables, ensuring safe and customizable operations for various deployment scenarios.

223 47 MCP

40

Safe Local Python Executor

A secure MCP server for local Python code execution by LLMs.

Safe Local Python Executor provides a Model Context Protocol (MCP) server that securely exposes a local Python code execution environment for AI models and clients. Leveraging Hugging Face's LocalPythonExecutor from smolagents, it limits available imports and blocks file I/O for increased safety, all without requiring Docker or virtual machines. The tool can be integrated with MCP-compatible applications such as Claude Desktop, offering a safe and convenient code interpreter option.

38 8 MCP

41

Code Assistant

AI coding assistant with multi-modal tool execution and MCP integration

Code Assistant is an AI-powered coding assistant written in Rust that provides both command-line and graphical user interfaces for autonomous code analysis and modification. It supports multi-modal tool invocation, real-time streaming, and session-based project management. The tool features full Model Context Protocol (MCP) compatibility, enabling seamless integration with MCP clients, and offers advanced project-level configuration and formatting capabilities.

110 18 MCP

42

Serena

Coding agent toolkit with IDE-like semantic code retrieval and editing for LLM integration.

Serena is a free and open-source coding agent toolkit that enhances large language models with advanced semantic code retrieval and editing tools. It enables integration through the Model Context Protocol (MCP), allowing seamless operation with various coding agents, IDEs, and interfaces. Serena extracts code entities at the symbol level, supports context-aware operations, and improves token efficiency for coding tasks. The tools can be incorporated into diverse LLM-driven environments for more efficient and precise code editing.

15,643 1,038 MCP

43

VS Code MCP Server

Connect Claude and other MCP clients to code directly in VS Code.

VS Code MCP Server is a Visual Studio Code extension that enables AI coding agents, such as Claude, to interact with a user's codebase through the Model Context Protocol. It provides VS Code-specific capabilities like symbol search and document outlines, leveraging the editor's built-in features. The server communicates using a streamable HTTP MCP API and can execute shell commands for advanced operations. It is ideal for extending the coding capabilities of AI models without duplicating existing developer tools.

280 54 MCP

44

Agent-MCP

Multi-Agent Collaboration Protocol for Coordinated AI Software Development

Agent-MCP enables advanced multi-agent orchestration for AI-driven software development, allowing specialized agents to collaborate via a shared persistent context. Its system manages parallel execution, persistent memory graphs, and real-time task coordination with robust visualization tools. Designed for experienced developers, it features intelligent task management and conflict prevention for scalable and complex codebases. The protocol emphasizes maintaining and sharing context among agents through standardized mechanisms.

1,021 124 MCP

45

Mermaid MCP Server

AI-powered natural language to Mermaid diagram server via Model Context Protocol

Mermaid MCP Server enables seamless integration with AI assistants, allowing users to generate professional architecture diagrams, flowcharts, and more using natural language. It implements the Model Context Protocol (MCP), providing a standardized interface for AI tools like GitHub Copilot and Claude to interact with diagram generation workflows. The server offers over 50 pre-built templates, fast SVG rendering, and broad integration support across VS Code, CLI, and desktop applications.

3 1 MCP

46

awslabs/mcp

Specialized MCP servers for seamless AWS integration in AI and development environments.

AWS MCP Servers is a suite of specialized servers implementing the open Model Context Protocol (MCP) to bridge large language model (LLM) applications with AWS services, tools, and data sources. It provides a standardized way for AI assistants, IDEs, and developer tools to access up-to-date AWS documentation, perform cloud operations, and automate workflows with context-aware intelligence. Featuring a broad catalog of domain-specific servers, quick installation for popular platforms, and both local and remote deployment options, it enhances cloud-native development, infrastructure management, and workflow automation for AI-driven tools. The project includes Docker, Lambda, and direct integration instructions for environments such as Amazon Q CLI, Cursor, Windsurf, Kiro, and VS Code.

6,220 829 MCP

47

codemcp

Turn Claude into a hands-on pair programming assistant with direct code editing capabilities.

codemcp integrates Claude with a user's local codebase, enabling the AI to directly implement features, fix bugs, refactor code, and run tests by making live edits to files. It emphasizes safety and auditability by forbidding unrestricted shell access and versioning all LLM-driven changes using Git. The tool is IDE agnostic and designed for use with Claude Pro, focusing on cost-efficient, high-autonomy agent workflows. Command usage is user-approved via configuration, enhancing security while allowing automated operations.

1,572 135 MCP

48

Winx Agent

High-performance Rust agent for AI code execution and context management with Model Context Protocol support.

Winx Agent is a Rust implementation of WCGW, offering advanced shell execution and file management for large language model code agents. It delivers high-performance, multi-provider AI integration, including automatic fallbacks and code analysis capabilities. Designed for seamless integration with Claude and other LLMs, it leverages the Model Context Protocol (MCP) for standardized context handling. Multiple operational modes, advanced file operations, and interactive shell support make it suitable for robust AI-driven code workflows.

21 8 MCP

49

mindsdb

Connect, unify, and query data at scale with an open-source AI platform.

MindsDB enables seamless connection to and unification of data from hundreds of enterprise sources, allowing for highly accurate responses across large-scale federated systems. It provides an open-source server with built-in support for the Model Context Protocol (MCP) to facilitate standardized interaction with AI-driven question answering over diverse data sets. The platform offers tools for preparing, organizing, and transforming both structured and unstructured data via knowledge bases, views, and scheduled jobs. Its agent framework and SQL interface empower users to configure data-centric agents, automate workflows, and interact with data conversationally.

35,487 5,735 MCP

50

code-to-tree

Universal Code-to-AST MCP Server for LLM Integration

code-to-tree is an MCP (Model Context Protocol) server that enables large language models to accurately convert source code into abstract syntax trees (AST) across multiple programming languages. It provides a standalone executable that integrates with MCP clients, ensuring seamless parsing using the tree-sitter framework. The server supports languages including C, C++, Rust, Ruby, Go, Java, and Python, with minimal dependencies required. Its design focuses on ease of setup and integration in AI workflows requiring code analysis capabilities.

66 8 MCP

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