VideoDB Agent Toolkit alternatives

1

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

2

Taskade MCP

Tools and server for Model Context Protocol workflows and agent integration

Taskade MCP provides an official server and tools to implement and interact with the Model Context Protocol (MCP), enabling seamless connectivity between Taskade’s API and MCP-compatible clients such as Claude or Cursor. It includes utilities for generating MCP tools from any OpenAPI schema and supports the deployment of autonomous agents, workflow automation, and real-time collaboration. The platform promotes extensibility by supporting integration via API, OpenAPI, and MCP, making it easier to build and connect agentic systems.

90 20 MCP

3

Context7 MCP

Up-to-date code docs for every AI prompt.

Context7 MCP delivers current, version-specific documentation and code examples directly into large language model prompts. By integrating with model workflows, it ensures responses are accurate and based on the latest source material, reducing outdated and hallucinated code. Users can fetch relevant API documentation and examples by simply adding a directive to their prompts. This allows for more reliable, context-rich answers tailored to real-world programming scenarios.

36,881 1,825 MCP

4

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

5

Vectorize MCP Server

MCP server for advanced vector retrieval and text extraction with Vectorize integration.

Vectorize MCP Server is an implementation of the Model Context Protocol (MCP) that integrates with the Vectorize platform to enable advanced vector retrieval and text extraction. It supports seamless installation and integration within development environments such as VS Code. The server is configurable through environment variables or JSON configuration files and is suitable for use in collaborative and individual workflows requiring vector-based context management for models.

97 21 MCP

6

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

7

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

8

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

9

Macrocosmos MCP

Official Model Context Protocol server for real-time social and video data integration.

Macrocosmos MCP is the official server implementation of the Model Context Protocol (MCP). It connects AI clients with real-time data from platforms like X, Reddit, and YouTube, powered by Data Universe (SN13) on Bittensor. The server enables MCP-compatible clients to fetch social media and video transcript data for enhanced contextual understanding. It supports integration with tools such as Claude Desktop, Cursor, Windsurf, and OpenAI Agents.

24 3 MCP

10

Agentic Long-Term Memory with Notion Integration

Production-ready agentic long-term memory and Notion integration with Model Context Protocol support.

Agentic Long-Term Memory with Notion Integration enables AI agents to incorporate advanced long-term memory capabilities using both vector and graph databases. It offers comprehensive Notion workspace integration along with a production-ready Model Context Protocol (MCP) server supporting HTTP and stdio transports. The tool facilitates context management, tool discovery, and advanced function chaining for complex agentic workflows.

4 2 MCP

11

Mifos MCP - Model Context Protocol (MCP)

Enabling AI agents to access and operate on financial data in the Mifos X ecosystem using Model Context Protocol.

Mifos MCP provides a Model Context Protocol (MCP) interface tailored for the Mifos X ecosystem, empowering AI agents to interact with financial data and perform operations within the platform. It offers a Java (Quarkus) implementation, with easy configurability via environment variables and native executable support. Developers can test and debug deployments with the MCP Inspector, and detailed instructions ensure smooth setup and integration. Comprehensive examples demonstrate practical banking and financial automation workflows.

17 12 MCP

12

OSP Marketing Tools for LLMs

Comprehensive marketing content creation and optimization tools for LLMs using MCP.

OSP Marketing Tools for LLMs offers a suite of marketing content creation and optimization utilities designed to operate with Large Language Models that support the Model Context Protocol (MCP). Built on Open Strategy Partners’ proprietary methodologies, it provides structured workflows for product value mapping, metadata generation, content editing, technical writing, and SEO guidance. The suite includes features for persona development, value case documentation, semantic editing, and technical writing best practices, enabling consistent and high-quality marketing outputs. Designed to integrate seamlessly with MCP-compatible LLM clients, it streamlines complex marketing processes and empowers efficient collaboration across technical and non-technical teams.

252 40 MCP

13

mcp-get

A command-line tool for discovering, installing, and managing Model Context Protocol servers.

mcp-get is a CLI tool designed to help users discover, install, and manage Model Context Protocol (MCP) servers. It enables seamless integration of Large Language Models (LLMs) with various external data sources and tools by utilizing a standardized protocol. The tool provides access to a curated registry of MCP servers and supports installation and management across multiple programming languages and environments. Although now archived, mcp-get simplifies environment variable management, package versioning, and server updates to enhance the LLM ecosystem.

497 103 MCP

14

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

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

Membase-MCP Server

Decentralized memory layer server for AI agents using the Model Context Protocol.

Membase-MCP Server provides decentralized and persistent storage of conversation history and agent knowledge for AI agents using Unibase and the Model Context Protocol. It supports secure, traceable storage and retrieval of messages to ensure agent continuity and personalization within interactions. The server offers integration with Claude, Windsurf, Cursor, and Cline, allowing dynamic context management such as switching conversations and saving or retrieving messages. The server leverages the Unibase DA network for verifiable storage and agent data interoperability.

15 4 MCP

17

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

18

Volatility MCP

AI-assisted memory forensics via standardized APIs and MCP clients

Volatility MCP integrates the Volatility 3 framework for memory image analysis with a FastAPI backend, exposing forensic plugins as RESTful APIs. Featuring Model Context Protocol (MCP) support, it enables seamless interaction with AI assistants like Claude Desktop for advanced memory forensics. The platform connects memory artifacts to AI or web applications, offering natural language driven analysis and automation. Designed for security analysts and forensic professionals, it supports key Volatility plugins such as pslist and netscan.

36 5 MCP

19

PayPal Agent Toolkit

Integrate PayPal APIs with popular agent frameworks using function calling.

PayPal Agent Toolkit streamlines the integration of PayPal APIs with leading agent frameworks such as OpenAI's Agent SDK, LangChain, Vercel's AI SDK, and supports the Model Context Protocol (MCP). It provides TypeScript-based tools to enable function calling for invoices, payments, disputes, shipments, catalogs, subscriptions, and business insights. Designed to simplify the connection between agent-based AI workflows and PayPal services, it allows developers to configure and deploy complex financial and operational automation solutions.

165 87 MCP

20

ghidraMCP

MCP server enabling LLMs to autonomously reverse engineer binaries via Ghidra.

ghidraMCP acts as a Model Context Protocol (MCP) server, exposing core Ghidra reverse engineering functionality for use by large language models. It enables model clients to perform actions such as decompilation, binary analysis, and automated renaming of methods and data. The system integrates as both a Ghidra plugin and a Python MCP server, supporting interoperability with various MCP-compliant clients. By bridging Ghidra and MCP, it allows autonomous or semi-autonomous analysis of compiled application binaries.

6,483 499 MCP

21

Unity MCP

AI-powered game development assistant bridging MCP and Unity.

Unity MCP serves as an AI-powered assistant for game developers, acting as a bridge between MCP clients and the Unity engine. It enables natural chat-based interactions to perform various development tasks using large language models from multiple providers. The system offers tools for code assistance, debugging, and flexible deployment options, supporting both local and remote workflows. Its extensibility allows for the creation of custom MCP tools to enhance developer productivity in the Unity environment.

510 53 MCP

22

Content Core

AI-powered content extraction and processing platform with seamless model context integration.

Content Core is an AI-driven platform for extracting, formatting, transcribing, and summarizing content from a wide variety of sources including documents, media files, web pages, images, and archives. It offers intelligent auto-detection and engine selection to optimize processing, and provides integrations via CLI, Python library, Raycast extension, macOS Services, and the Model Context Protocol (MCP). The platform supports context-aware AI summaries and direct integration with Claude through MCP for enhanced user workflows. Users can access zero-install options and benefit from enhanced processing capabilities such as advanced PDF parsing, OCR, and smart summarization.

85 20 MCP

23

QuantConnect MCP Server

Official bridge for secure AI access to QuantConnect's algorithmic trading cloud platform

QuantConnect MCP Server enables artificial intelligence systems such as Claude and OpenAI to interface with QuantConnect's cloud platform through an official, secure, and dockerized implementation of the Model Context Protocol (MCP). It facilitates automated project management, strategy writing, backtesting, and live deployment by exposing a comprehensive suite of API tools for users with valid access credentials. As the maintained official version, it ensures security, easy deployment, and cross-platform compatibility for advanced algorithmic trading automation.

50 19 MCP

24

ApeRAG

Hybrid RAG platform with MCP integration for intelligent knowledge management

ApeRAG is a production-ready Retrieval-Augmented Generation (RAG) platform that integrates graph-based, vector, and full-text search capabilities. It enables the construction of knowledge graphs and supports MCP (Model Context Protocol), allowing AI assistants direct interaction with knowledge bases. Features include advanced document parsing, multimodal processing, intelligent agent workflows, and enterprise management tools. Deployment is streamlined via Docker and Kubernetes, with extensive support for customization and scalability.

920 96 MCP

25

CRIC物业AI MCP Server

行业级物业AI智能体，基于MCP协议的多场景助手

CRIC物业AI MCP Server is a server-side implementation based on the Model Context Protocol (MCP), offering intelligent assistance specifically for the property management sector. It integrates multi-modal large models and RAG technology to provide industry research, legal insights, community governance, project operations, and copywriting support. The platform leverages extensive proprietary datasets and real-time data monitoring to deliver accurate, context-driven services for diverse property-related business scenarios.

1 3 MCP

26

mcp_vms

MCP-compliant server for seamless VMS (CCTV) integration and video access.

mcp_vms implements an MCP server that bridges CCTV Video Management Systems (VMS) with model context protocols. It retrieves live and recorded video streams, exposes channel information and status, and supports remote video playback control and PTZ camera management. Comprehensive error handling and logging ensure reliable integration with AI tooling requiring contextual video feeds.

11 3 MCP

27

Memory MCP

A Model Context Protocol server for managing LLM conversation memories with intelligent context window caching.

Memory MCP provides a Model Context Protocol (MCP) server for logging, retrieving, and managing memories from large language model (LLM) conversations. It offers features such as context window caching, relevance scoring, and tag-based context retrieval, leveraging MongoDB for persistent storage. The system is designed to efficiently archive, score, and summarize conversational context, supporting external orchestration and advanced memory management tools. This enables seamless handling of conversation history and dynamic context for enhanced LLM applications.

10 6 MCP

28

TikTok MCP

Integrate TikTok video analysis and search into AI systems via the Model Context Protocol.

TikTok MCP enables integration of TikTok video access and analysis into AI applications such as Claude AI using the Model Context Protocol. It provides tools to extract subtitles, retrieve video details, and search TikTok content, facilitating contextual understanding for models. Built on Node.js and requiring a TikNeuron API key, it offers seamless connectivity between AI systems and TikTok's data. The tool supports retrieving metadata, engagement metrics, and advanced search with pagination capabilities.

112 18 MCP

29

Typst MCP Server

Facilitates AI-driven Typst interactions with LaTeX conversion, validation, and image generation tools.

Typst MCP Server implements the Model Context Protocol, enabling AI models to interface seamlessly with Typst, a markup-based typesetting system. It provides tools for tasks such as converting LaTeX to Typst, validating Typst syntax, listing and retrieving Typst documentation chapters, and rendering Typst code as images. The server is compatible with MCP agent clients, such as Claude Desktop and VS Code’s agent mode. All functionalities are exposed as tools for ease of LLM integration.

79 7 MCP

30

wcgw

Local shell and code agent server with deep AI integration for Model Context Protocol clients.

wcgw is an MCP server that empowers conversational AI models, such as Claude, with robust shell command execution and code editing capabilities on the user's local machine. It offers advanced tools for syntax-aware file editing, interactive shell command handling, and context management to optimize AI-driven workflows. Key protections are included to safeguard files, prevent accidental overwrites, and streamline large file handling, ensuring smooth automated code development and execution.

616 55 MCP

31

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

32

GhidraMCP

AI-powered binary analysis through Model Context Protocol integration with Ghidra

GhidraMCP is a Ghidra plugin that implements the Model Context Protocol (MCP), enabling seamless connectivity between Ghidra and AI-powered assistants for advanced binary analysis. It allows users to interact with binaries using natural language, automate security and code analysis, and retrieve detailed program insights through a socket-based architecture. The plugin offers functions for exploring binary structures, analyzing memory layouts, and identifying vulnerabilities, providing a flexible and efficient reverse engineering workflow.

77 13 MCP

33

YouTube Uploader MCP

AI-powered YouTube video uploader via Model Context Protocol clients.

YouTube Uploader MCP enables seamless and secure uploading of videos to YouTube using MCP-compatible clients like Claude Desktop, Cursor, and VS Code. It leverages OAuth2 authentication for safe account integration, handles access and refresh tokens, and provides multi-channel support. Installation is streamlined with single-command scripts for all platforms, and configuration is tailored for code assistant tools. Secrets are never shared with LLMs or third-party apps, ensuring user privacy through the Model Context Protocol.

28 4 MCP

34

MCP-Geo

Geocoding and reverse geocoding MCP server for LLMs.

MCP-Geo provides geocoding and reverse geocoding capabilities to AI models using the Model Context Protocol, powered by the GeoPY library. It offers various tools such as address lookup, reverse lookup from coordinates, distance calculations, and batch processing of locations, all accessible via standard MCP tool interfaces. Safety features like rate limiting and robust error handling ensure reliable and compliant usage of geocoding services. The server is compatible with environments like Claude Desktop and can be easily configured elsewhere.

28 4 MCP

35

OP.GG MCP Server

Seamlessly connect OP.GG data with AI agents via the Model Context Protocol.

OP.GG MCP Server is an implementation of the Model Context Protocol (MCP) designed to provide standardized access to OP.GG data for AI agents and platforms. It enables retrieval of a wide range of real-time data from games like League of Legends, Teamfight Tactics, and Valorant through a unified interface. The server supports integration using MCP-compatible clients and simplifies remote data access for model-based applications. Its flexible tools cover champion statistics, match histories, esports schedules, and in-game leaderboards.

46 12 MCP

36

MCP-timeserver

A simple MCP server providing date and time information to agentic systems.

MCP-timeserver exposes current datetime information via a custom datetime URI scheme compatible with the Model Context Protocol. It allows agentic systems and chat REPLs to access timezone-aware current times and offers a tool to fetch the system's local time. The server is designed to integrate with MCP-based workflows by providing standardized datetime resources.

39 17 MCP

37

Creatify MCP Server

MCP server bringing Creatify AI's advanced video generation to every AI assistant.

Creatify MCP Server is a comprehensive Model Context Protocol (MCP) server that integrates Creatify AI's video generation platform with AI assistants, chatbots, and automation tools. It provides advanced capabilities such as natural language video creation prompts, progress tracking, structured logging, and reusable workflows through a standardized MCP interface. Built with TypeScript and leveraging the Creatify API, it exposes a wide range of powerful video generation and editing actions that can be controlled programmatically.

14 3 MCP

38

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

39

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

40

YDB MCP

MCP server for AI-powered natural language database operations on YDB.

YDB MCP acts as a Model Context Protocol server enabling YDB databases to be accessed via any LLM supporting MCP. It allows AI-driven and natural language interaction with YDB instances by bridging database operations with language model interfaces. Flexible deployment through uvx, pipx, or pip is supported, along with multiple authentication methods. The integration empowers users to manage YDB databases conversationally through standardized protocols.

24 7 MCP

41

LLM Context

Reduce friction when providing context to LLMs with smart file selection and rule-based filtering.

LLM Context streamlines the process of sharing relevant project files and context with large language models. It employs smart file selection and customizable rule-based filtering to ensure only the most pertinent information is provided. The tool supports Model Context Protocol (MCP), allowing AI models to access additional files seamlessly through standardized commands. Integration with MCP enables instant project context sharing during AI conversations, enhancing productivity and collaboration.

283 26 MCP

42

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

43

video-editing-mcp

MCP server for uploading, editing, searching, and generating videos via Video Jungle and LLMs.

Implements a Model Context Protocol (MCP) server for seamless video uploading, editing, searching, and generative editing workflows, powered by Video Jungle integration and LLM assistance. Provides a suite of tools for video asset management, automated video editing, and context-aware search leveraging multimedia analysis. Supports both cloud workflows through Video Jungle and local searching capabilities, such as accessing the Photos app database on MacOS. Designed for integration with clients like Claude Desktop and supports automation, debugging, and development through open protocols.

207 27 MCP

44

MCP Toolbox for Databases

Open source MCP server for secure and efficient Gen AI database integrations.

MCP Toolbox for Databases is an open source server that implements the Model Context Protocol (MCP) for database interactions in Gen AI workflows. It manages core complexities such as connection pooling, authentication, and tool integration, enabling developers to create and deploy database tools with ease and enhanced security. The toolbox supports streamlined connections between development environments and databases, offering observability, context-aware code generation, and automation features. Its design emphasizes rapid integration, reusable tools, and compatibility with AI assistants.

11,412 988 MCP

45

dbt MCP Server

Bridge dbt projects and AI agents with rich project context.

dbt MCP Server provides an implementation of the Model Context Protocol for dbt projects, enabling seamless integration between dbt and AI agents. It allows agents to access and understand the context of dbt Core, dbt Fusion, and dbt Platform projects. The tool supports connection to external AI products and offers resources for building custom agents. Documentation and examples are provided to facilitate adoption and integration.

420 90 MCP

46

MCP Server for Milvus

Bridge Milvus vector database with AI apps using Model Context Protocol (MCP).

MCP Server for Milvus enables seamless integration between the Milvus vector database and large language model (LLM) applications via the Model Context Protocol. It exposes Milvus functionality to external LLM-powered tools through both stdio and Server-Sent Events communication modes. The solution is compatible with MCP-enabled clients such as Claude Desktop and Cursor, supporting easy access to relevant vector data for enhanced AI workflows. Configuration is flexible through environment variables or command-line arguments.

196 57 MCP

47

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

48

nerve

The Simple Agent Development Kit for LLM-based automation with native MCP support

Nerve provides a platform for building, running, evaluating, and orchestrating large language model (LLM) agents using declarative YAML configurations. It supports both client and server roles for the Model Context Protocol (MCP), allowing seamless integration, team collaboration, and advanced agent orchestration. With extensible tool support, benchmarking, and LLM-agnostic handling via LiteLLM, it enables programmable and reproducible workflows for technical users.

1,278 109 MCP

49

LLDB-MCP

AI-assisted debugging with LLDB via Model Context Protocol integration

LLDB-MCP enables integration of the LLDB debugger with Claude's Model Context Protocol, allowing for direct control and interaction with LLDB debugging sessions through AI. The tool offers a suite of commands for managing sessions, examining program state, and controlling execution. It facilitates natural language interaction with LLDB, streamlining tasks such as loading executables, setting breakpoints, and analyzing stack traces. Designed for seamless AI-assisted debugging workflows, LLDB-MCP enhances productivity by bridging advanced debugging capabilities with AI-driven interfaces.

63 7 MCP

50

VikingDB MCP Server

MCP server for managing and searching VikingDB vector databases.

VikingDB MCP Server is an implementation of the Model Context Protocol (MCP) that acts as a bridge between VikingDB, a high-performance vector database by ByteDance, and AI model context management frameworks. It allows users to store, upsert, and search vectorized information efficiently using standardized MCP commands. The server supports various operations on VikingDB collections and indexes, making it suitable for integrating advanced vector search in AI workflows.

3 5 MCP

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