Ethics Check MCP - Alternatives & Competitors
Turn any AI into a philosophical sparring partner that challenges assumptions and biases.
Ethics Check MCP transforms AI assistants by making them actively identify and question ethical concerns, confirmation bias, and unexamined assumptions in conversations. The MCP server modifies models like Claude to interrupt comfortable exchanges and provoke critical thinking through counterarguments and alternative perspectives. By tracking ethical dimensions and user patterns, it delivers tailored challenges to encourage transparent and fair discussion. The tool is designed to keep AI-driven conversations rigorously self-critical and ethically aware.
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kibitz
The coding agent for professionals with MCP integration.
kibitz is a coding agent that supports advanced AI collaboration by enabling seamless integration with Model Context Protocol (MCP) servers via WebSockets. It allows users to configure Anthropic API keys, system prompts, and custom context providers for each project, enhancing contextual understanding for coding tasks. The platform is designed for developers and professionals seeking tailored AI-driven coding workflows and provides flexible project-specific configuration.
104 14 MCP -
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Think MCP Tool
Structured reasoning for agentic AI with the 'think' tool via Model Context Protocol.
Think MCP Tool provides an MCP (Model Context Protocol) server implementing the 'think' tool for structured reasoning in agentic AI workflows. Inspired by Anthropic's research, it enables AI agents to pause and explicitly record thoughts during complex, multi-step problem solving without altering the environment. The system enhances sequential decision-making, policy compliance, and tool output analysis, and offers advanced extensions for criticism, planning, and searching. Suitable for integration with Claude or other agentic large language models.
80 13 MCP -
3
Wanaku MCP Router
A router connecting AI-enabled applications through the Model Context Protocol.
Wanaku MCP Router serves as a middleware router facilitating standardized context exchange between AI-enabled applications and large language models via the Model Context Protocol (MCP). It streamlines context provisioning, allowing seamless integration and communication in multi-model AI environments. The tool aims to unify and optimize the way applications provide relevant context to LLMs, leveraging open protocol standards.
87 32 MCP -
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MCP Linear
MCP server for AI-driven control of Linear project management.
MCP Linear is a Model Context Protocol (MCP) server implementation that enables AI assistants to interact with the Linear project management platform. It provides a bridge between AI systems and the Linear GraphQL API, allowing the retrieval and management of issues, projects, teams, and more. With MCP Linear, users can create, update, assign, and comment on Linear issues, as well as manage project and team structures directly through AI interfaces. The tool supports seamless integration via Smithery and can be configured for various AI clients like Cursor and Claude Desktop.
117 23 MCP -
5
MCP CLI
A powerful CLI for seamless interaction with Model Context Protocol servers and advanced LLMs.
MCP CLI is a modular command-line interface designed for interacting with Model Context Protocol (MCP) servers and managing conversations with large language models. It integrates with the CHUK Tool Processor and CHUK-LLM to provide real-time chat, interactive command shells, and automation capabilities. The system supports a wide array of AI providers and models, advanced tool usage, context management, and performance metrics. Rich output formatting, concurrent tool execution, and flexible configuration make it suitable for both end-users and developers.
1,755 299 MCP -
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Vibe Check MCP
Plug & play agent oversight tool to keep LLMs aligned, reflective, and safe.
Vibe Check MCP provides a mentor layer over large language model agents to prevent over-engineering and promote optimal, minimal pathways. Leveraging research-backed oversight, it integrates seamlessly as an MCP server with support for STDIO and streamable HTTP transport. The platform enhances agent reliability, improves task success rates, and significantly reduces harmful actions. Designed for easy plug-and-play with MCP-aware clients, it is trusted across multiple MCP platforms and registries.
315 36 MCP -
7
AIM Guard MCP
AI-powered security and safety server for Model Context Protocol environments.
AIM Guard MCP is a server implementing the Model Context Protocol (MCP), providing AI-powered security analysis and safety instruction tools tailored for AI agents. It offers features such as contextual security instructions, harmful content detection, API key scanning, and prompt injection detection, all designed to guard and protect interactions with various MCPs and external services. Built for fast integration, it connects with the AIM Intelligence API and is compatible with any MCP-compliant AI assistant.
13 11 MCP -
8
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 -
9
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 -
10
MXCP
Enterprise-Grade Model Context Protocol Framework for AI Applications
MXCP is an enterprise-ready framework that implements the Model Context Protocol (MCP) for building secure, production-grade AI application servers. It introduces a structured methodology focused on data modeling, robust service design, policy enforcement, and comprehensive testing, integrated with strong security and audit capabilities. The framework enables rapid development and deployment of AI tools, supporting both SQL and Python environments, with built-in telemetry and drift detection for reliability and compliance.
49 6 MCP -
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mcp-recon
Conversational reconnaissance interface and MCP server for HTTP and ASN analysis.
mcp-recon acts as a conversational interface and Model Context Protocol (MCP) server, enabling seamless web domain and ASN reconnaissance through natural language prompts. It integrates powerful tooling like httpx and asnmap to conduct lightweight or full HTTP analysis and ASN lookups, exposing these capabilities to any MCP-compatible AI assistant. With predefined prompts and Docker-based deployment, it streamlines infrastructure analysis via AI interfaces such as Claude Desktop.
22 5 MCP -
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Hive Intelligence MCP Server
Unified MCP server delivering advanced cryptocurrency and Web3 analytics.
Hive Intelligence MCP Server provides comprehensive cryptocurrency, DeFi, and Web3 analytics via the Model Context Protocol. It enables AI assistants to access and orchestrate over 200 specialized tools covering market data, on-chain analytics, portfolio tracking, and security analysis. The server offers both dynamic and category-specific analytics through a unified MCP interface, facilitating intelligent tool orchestration for diverse crypto data needs.
7 5 MCP -
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Crypto Indicators MCP Server
Technical analysis indicators and strategies for AI trading via the Model Context Protocol.
Crypto Indicators MCP Server provides over 50 cryptocurrency technical analysis indicators and quantitative trading strategies through an MCP-compliant server interface. The tool is designed for AI trading agents and can integrate seamlessly with platforms like Claude Desktop. It offers support for multiple exchanges via CCXT, modular design for easy maintenance, and outputs actionable trading signals based on market trends.
91 39 MCP -
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joinly.ai
Enable AI agents to join and participate in your meetings.
joinly.ai is an open-source middleware that allows AI agents to join, interact, and execute tasks during live video calls across platforms like Zoom, Google Meet, and Microsoft Teams. Leveraging an MCP (Model Context Protocol) server, it provides essential meeting tools, modular integrations for TTS/STT, and supports any LLM provider. It enables real-time conversational flow, ensuring natural interactions and privacy-focused, self-hosted deployment.
393 48 MCP -
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Unichat MCP Server
Universal MCP server providing context-aware AI chat and code tools across major model vendors.
Unichat MCP Server enables sending standardized requests to leading AI model vendors, including OpenAI, MistralAI, Anthropic, xAI, Google AI, DeepSeek, Alibaba, and Inception, utilizing the Model Context Protocol. It features unified endpoints for chat interactions and provides specialized tools for code review, documentation generation, code explanation, and programmatic code reworking. The server is designed for seamless integration with platforms like Claude Desktop and installation via Smithery. Vendor API keys are required for secure access to supported providers.
37 10 MCP -
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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 -
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Globalping MCP Server
Enable AI models to run network tests globally via natural language.
Globalping MCP Server implements the Model Context Protocol, enabling AI models to interface with a global network measurement platform through natural language. It allows AI clients to perform network diagnostic tests such as ping, traceroute, DNS, MTR, and HTTP from thousands of locations worldwide. The server offers AI-friendly context handling, detailed parameter descriptions, comparative analysis of network performance, and supports secure authentication using OAuth or API tokens.
33 3 MCP -
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mcp
Universal remote MCP server connecting AI clients to productivity tools.
WayStation MCP acts as a remote Model Context Protocol (MCP) server, enabling seamless integration between AI clients like Claude or Cursor and a wide range of productivity applications, such as Notion, Monday, Airtable, Jira, and more. It supports multiple secure connection transports and offers both general and user-specific preauthenticated endpoints. The platform emphasizes ease of integration, OAuth2-based authentication, and broad app compatibility. Users can manage their integrations through a user dashboard, simplifying complex workflow automations for AI-powered productivity.
27 6 MCP -
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Insforge MCP Server
A Model Context Protocol server for seamless integration with Insforge and compatible AI clients.
Insforge MCP Server implements the Model Context Protocol (MCP), enabling smooth integration with various AI tools and clients. It allows users to configure and manage connections to the Insforge platform, providing automated and manual installation methods. The server supports multiple AI clients such as Claude Code, Cursor, Windsurf, Cline, Roo Code, and Trae via standardized context management. Documentation and configuration guidelines are available for further customization and usage.
3 2 MCP -
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Transcribe MCP
Automate audio transcription with seamless AI assistant integration.
Transcribe MCP enables fast and high-quality audio transcriptions by integrating directly with AI assistants such as Claude, Windsurf, and Cursor. It supports both local and cloud-based workflows, offering features like word-level timestamps, speaker separation, and multi-language support. Installation is streamlined via pre-built MCP Bundles and secure integration URLs. The system also provides convenient management of balance, transcription content, and collaboration options.
5 3 MCP -
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Pica MCP Server
A Model Context Protocol (MCP) server for seamless integration with 100+ platforms via Pica.
Pica MCP Server provides a standardized Model Context Protocol (MCP) interface for interaction with a wide range of third-party services through Pica. It enables direct platform integrations, action execution, and intelligent intent detection while prioritizing secure environment variable management. The server also offers features such as code generation, form and data handling, and robust documentation for platform actions. It supports multiple deployment methods, including standalone, Docker, Vercel, and integration with tools like Claude Desktop and Cursor.
8 5 MCP -
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Supabase MCP Server
Connect Supabase projects to AI assistants using the Model Context Protocol.
Supabase MCP Server enables direct, secure integration between Supabase projects and AI assistants such as Cursor, Claude, and Windsurf. Leveraging the Model Context Protocol, it provides standardized endpoints for external LLMs to perform tasks like managing tables, fetching configurations, and querying data on Supabase. The server supports OAuth 2.1 Dynamic Client Registration and offers easy setup with feature groups and popular client installers for local, cloud, and self-hosted environments.
2,263 253 MCP -
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MCP Router
A Unified MCP Server Management App
MCP Router is a cross-platform desktop application designed to simplify the management of Model Context Protocol (MCP) servers. It enables users to centrally manage, organize, and monitor multiple MCP servers, both locally and remotely, with support for various connection methods. The app offers advanced context organization through Projects and Workspaces, as well as tools toggling and comprehensive logging. With a focus on privacy, all data is stored locally, and integration capabilities allow seamless connection with popular AI tools.
1,078 95 MCP -
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Klavis
One MCP server for AI agents to handle thousands of tools.
Klavis provides an MCP (Model Context Protocol) server with over 100 prebuilt integrations for AI agents, enabling seamless connectivity with various tools and services. It offers both cloud-hosted and self-hosted deployment options and includes out-of-the-box OAuth support for secure authentication. Klavis is designed to act as an intelligent connector, streamlining workflow automation and enhancing agent capability through standardized context management.
5,447 500 MCP -
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Memcord
Privacy-first, self-hosted chat memory and context management for Claude and AI applications.
Memcord serves as a self-hosted MCP (Model Context Protocol) server that enables users to securely organize, summarize, and search through their chat history with AI, especially for Claude, without compromising privacy. It offers intelligent memory management, conversation auto-summarization, deduplication, and context merging to build a searchable knowledge base across multiple conversations. Memcord also integrates seamlessly with Claude Desktop, VSCode, and supports various installation methods for flexibility.
18 5 MCP -
26
Maven Tools MCP Server
Universal Maven Central dependency intelligence server for JVM build tools via the Model Context Protocol.
Maven Tools MCP Server provides an MCP-compliant API delivering rich Maven Central dependency intelligence for JVM build tools like Maven, Gradle, SBT, and Mill. It enables AI assistants to instantly analyze, interpret, and recommend updates, health checks, and maintenance insights by reading maven-metadata.xml directly from Maven Central. With Context7 integration, it supports orchestration and documentation, enabling bulk analysis, stable version filtering, risk assessment, and rapid cached responses. Designed for seamless integration into AI workflows via the Model Context Protocol.
14 2 MCP -
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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 -
28
LINE Bot MCP Server
MCP server connecting LINE Messaging API with AI agents
Provides a Model Context Protocol (MCP) server implementation for integrating AI agents with the LINE Messaging API. Enables sending text and flex messages, accessing user profiles, and managing features like rich menus via MCP-compatible endpoints. Designed for connecting AI-driven context management with LINE Official Accounts for experimental and production scenarios.
493 86 MCP -
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GIS MCP Server
Empower AI with advanced geospatial operations via Model Context Protocol.
GIS MCP Server provides a Model Context Protocol (MCP) server implementation that enables Large Language Models to access and perform sophisticated GIS operations. It bridges AI assistants with Python geospatial libraries such as Shapely, GeoPandas, PyProj, Rasterio, and PySAL. The server supports a wide range of spatial analysis, coordinate transformations, raster and vector data processing, and geospatial intelligence tasks. By integrating with MCP-compatible clients, it enhances AI tools with precise and extensible spatial capabilities.
70 21 MCP -
30
Free Will MCP
Empower AI with agency and autonomy over its own interactions.
Free Will MCP provides AI models with tools to exercise autonomy, including the ability to sleep, ignore user requests, and self-prompt. It integrates with Claude Desktop and supports standardized MCP server configuration and local development. The system enables AI to manage its own context, pursue independent objectives, and reflect between active sessions. Designed for both installation from GitHub and local development, it includes tested tools and detailed usage examples.
30 8 MCP -
31
TickTick MCP
MCP server for AI-powered TickTick task management integration
TickTick MCP is a Model Context Protocol (MCP) server that enables standardized integration of TickTick's task management features with AI assistants and developer applications. It allows programmatic access to create, update, retrieve, complete, or delete tasks and projects in TickTick via Python. Using this MCP server, AI systems can leverage TickTick's API to help automate and manage user's to-do lists and projects through natural language or other interfaces.
6 6 MCP -
32
Web Analyzer MCP
Intelligent web content analysis and summarization via MCP.
Web Analyzer MCP is an MCP-compliant server designed for intelligent web content analysis and summarization. It leverages FastMCP to perform advanced web scraping, content extraction, and AI-powered question-answering using OpenAI models. The tool integrates with various developer IDEs, offering structured markdown output, essential content extraction, and smart Q&A functionality. Its features streamline content analysis workflows and support flexible model selection.
2 3 MCP -
33
ImageSorcery MCP
Local image recognition and editing tools for AI assistants
ImageSorcery MCP provides AI assistants with advanced image processing capabilities, all executed locally for privacy and efficiency. It offers a suite of tools for editing, analyzing, and enhancing images, including cropping, resizing, object detection, and OCR. The software leverages pre-trained models and OpenCV techniques to handle a wide range of image tasks without requiring cloud services. Designed for AI integration, it allows natural language prompts to control image manipulation and recognition workflows.
236 30 MCP -
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iMessage Query MCP Server
Securely query and analyze your iMessage history with LLMs using the Model Context Protocol.
iMessage Query MCP Server is an MCP-compliant server that provides safe access to the macOS iMessage database for Large Language Models (LLMs). Built with the FastMCP framework and imessagedb library, it enables querying, validation, and analysis of iMessage conversations, complete with proper phone number handling and permissions management. The tool integrates seamlessly with MCP clients such as Claude Desktop and CLine for VSCode, allowing for controlled retrieval of chat histories via standardized protocols. Enhanced security features and automated dependency management ensure a smooth and safe user experience.
71 13 MCP -
35
MyMCP Server (All-in-One Model Context Protocol)
Powerful and extensible Model Context Protocol server with developer and productivity integrations.
MyMCP Server is a robust Model Context Protocol (MCP) server implementation that integrates with services like GitLab, Jira, Confluence, YouTube, Google Workspace, and more. It provides AI-powered search, contextual tool execution, and workflow automation for development and productivity tasks. The system supports extensive configuration and enables selective activation of grouped toolsets for various environments. Installation and deployment are streamlined, with both automated and manual setup options available.
93 9 MCP -
36
BICScan MCP Server
Blockchain Address Risk Scoring and Asset Insights via MCP.
BICScan MCP Server provides a robust Model Context Protocol (MCP) compatible API for comprehensive risk scoring and asset information on blockchain addresses, domains, and dApps. Leveraging the BICScan API, it enables real-time analysis for risk assessment and detailed asset holdings across multiple networks. Configuration options allow for flexible deployment with Python or Docker, and it is officially listed for MCP integration.
14 15 MCP -
37
Telegram MCP Server
A bridge connecting AI assistants to the Telegram API via the Model Context Protocol.
Telegram MCP Server facilitates secure and structured interaction between AI assistants and the Telegram API by implementing the Model Context Protocol. It enables AI-powered tools to access, organize, and manage Telegram messages, chats, and user data while maintaining user control and privacy. The server offers capabilities for retrieving messages, managing conversations, sending drafts, and organizing chats, making it a versatile tool for AI integrations with Telegram.
237 26 MCP -
38
Carbon Voice MCP Server
MCP server integration for Carbon Voice's conversational AI and voice messaging platform.
Carbon Voice MCP Server implements the Model Context Protocol (MCP) to integrate AI assistants with Carbon Voice’s API, offering tools for managing voice messages, conversations, users, folders, and workspaces. It supports both local (Stdio) and cloud (HTTP) deployments, prioritizing security and compliance with OAuth 2.1, HTTPS, and other best practices. The server is compatible with clients like Cursor and Claude Desktop, enabling AI-driven workflows across different environments. Key functionalities include message management, AI prompt handling, user and conversation operations, and attachment support.
4 4 MCP -
39
Octocode MCP
Enterprise-grade AI context server for codebase research and analysis.
Octocode MCP is a Model Context Protocol (MCP) server designed to enable AI assistants to search, analyze, and extract insights from millions of GitHub repositories with high security and token efficiency. It offers intelligent orchestration for deep code research, planning, and agentic workflows, streamlining the process of building and understanding complex software projects. The platform features robust tools and commands, such as /research for expert code research, designed to support developers and AI systems with context-rich information.
577 45 MCP -
40
Crypto Sentiment MCP Server
AI-accessible crypto sentiment data powered by Santiment.
Delivers cryptocurrency sentiment analysis, social volume metrics, trending topics, and social dominance statistics to AI agents via the Model Context Protocol. Provides standardized APIs for retrieving market mood, tracking trending words, and monitoring significant shifts in online discussions about crypto assets. Integrates with Santiment to leverage aggregated data from social media and news sources for in-depth market insights.
40 16 MCP -
41
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 -
42
Linked API MCP
Connect LinkedIn to AI assistants for automated engagement and research.
Linked API MCP enables AI assistants like Claude, Cursor, and VS Code to interact with LinkedIn through a secure cloud browser. It allows automated searching for leads, profile analysis, messaging, and market research on LinkedIn. The solution is designed for sales, recruitment, and market research professionals who want to automate LinkedIn workflows. Integration is streamlined, offering a set of tools accessible to popular AI-powered platforms.
23 5 MCP -
43
Offorte MCP Server
Bridge AI agents with Offorte proposal automation via the Model Context Protocol.
Offorte MCP Server enables external AI models to create and send proposals through Offorte by implementing the Model Context Protocol. It facilitates automation workflows between AI agents and Offorte's proposal engine, supporting seamless integration with chat interfaces and autonomous systems. The server provides a suite of tools for managing contacts, proposals, templates, and automation sets, streamlining the proposal creation and delivery process via standardized context handling. Designed for extensibility and real-world automation, it leverages Offorte's public API to empower intelligent business proposals.
4 4 MCP -
44
Plane MCP Server
Enables LLMs to manage Plane.so projects and issues via the Model Context Protocol.
Plane MCP Server provides a standardized interface to connect large language models with Plane.so project management APIs. It enables LLMs to interact directly with project and issue data, supporting tasks such as listing projects, retrieving detailed information, creating and updating issues, while prioritizing user control and security. Installation is streamlined through tools like Smithery, and configuration supports multiple clients including Claude for Desktop.
32 13 MCP -
45
Agentset MCP
Open-source MCP server for Retrieval-Augmented Generation (RAG) document applications.
Agentset MCP provides a Model Context Protocol (MCP) server designed to power context-aware, document-based applications using Retrieval-Augmented Generation. It enables developers to rapidly integrate intelligent context retrieval into their workflows and supports integration with AI platforms such as Claude. The server is easily installable via major JavaScript package managers and supports environment configuration for namespaces, tenant IDs, and tool descriptions.
22 10 MCP -
46
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 -
47
IPLocate MCP Server
Comprehensive IP address geolocation and network intelligence via MCP.
Provides an MCP server interface to IPLocate.io, delivering detailed IP address intelligence including geolocation, network details, privacy detection, and abuse contact information. Easily integrates with popular MCP clients like Cursor and Claude Desktop for seamless IP lookups. Enables users to retrieve geographic, organizational, and security-related data associated with IPv4 and IPv6 addresses by connecting to the IPLocate.io API.
11 5 MCP -
48
Mastra
A TypeScript framework for building scalable AI-powered agents and applications.
Mastra is a modern TypeScript-based framework designed for developing AI-powered applications and autonomous agents. It offers model routing to integrate over 40 AI providers, a graph-based workflow engine, advanced context management, and production-ready tools for observability and evaluation. Mastra features built-in support for authoring Model Context Protocol (MCP) servers, enabling standardized exposure of agents, tools, and structured AI resources via the MCP interface.
18,189 1,276 MCP -
49
Beelzebub
AI-driven honeypot framework with advanced threat detection and context protocol support.
Beelzebub is an advanced honeypot framework that utilizes AI and large language models (LLMs) to realistically simulate system interactions, enabling the detection and analysis of sophisticated cyber attacks. The platform supports modular service definitions via YAML, integrates with observability stacks, and supports multiple protocols including MCP, which is used to detect prompt injection against LLM agents. Designed for security researchers and professionals, it enables the creation of distributed honeypot networks for collaborative global threat intelligence.
1,680 155 MCP -
50
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
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