OSP Marketing Tools for LLMs - Alternatives & Competitors
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.
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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 -
2
Meta Ads MCP
AI-powered Meta Ads campaign analysis and management via MCP
Meta Ads MCP is a Model Context Protocol (MCP) server for managing, analyzing, and optimizing Meta advertising campaigns. It enables AI interfaces, such as LLMs, to retrieve ad performance data, visualize creatives, and provide strategic insights across Facebook, Instagram, and related platforms. The solution supports integration with platforms like Claude and Cursor, leveraging Meta's public APIs to deliver actionable insights and campaign management capabilities. Authentication options include interactive login and token-based flows for various MCP clients.
342 86 MCP -
3
OpenAI WebSearch MCP Server
Intelligent web search with OpenAI reasoning model support, fully MCP-compatible.
OpenAI WebSearch MCP Server provides advanced web search functionality integrated with OpenAI's latest reasoning models, such as gpt-5 and o3-series. It features full compatibility with the Model Context Protocol, enabling easy integration into AI assistants that require up-to-date information and contextual awareness. Built with flexible configuration options, smart reasoning effort controls, and support for location-based search customization. Suitable for environments such as Claude Desktop, Cursor, and automated research workflows.
75 18 MCP -
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VictoriaMetrics MCP Server
Model Context Protocol server enabling advanced monitoring and observability for VictoriaMetrics.
VictoriaMetrics MCP Server implements the Model Context Protocol (MCP) to provide seamless integration with VictoriaMetrics, allowing advanced monitoring, data exploration, and observability. It offers access to almost all read-only APIs, as well as embedded documentation for offline usage. The server facilitates comprehensive metric querying, cardinality analysis, alert and rule testing, and automation capabilities for engineers and tools.
87 11 MCP -
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Octagon Deep Research MCP
AI-powered, enterprise-grade deep research server for MCP clients.
Octagon Deep Research MCP provides specialized AI-driven research and analysis via seamless integration with MCP-enabled applications. It offers comprehensive multi-source data aggregation, advanced analysis tools, and generates in-depth reports across various domains. The solution emphasizes high performance with no rate limits, enterprise-grade speed, and universal compatibility for teams needing thorough research capabilities.
70 12 MCP -
6
mcp-read-website-fast
Fast, token-efficient web content extraction and Markdown conversion for AI agents.
Provides a Model Context Protocol (MCP) compatible server that rapidly fetches web pages, removes noise, and converts content to clean Markdown with link preservation. Designed for local use by AI-powered tools like IDEs and large language models, it offers optimized token usage, concurrency, polite crawling, and smart caching. Integrates with Claude Code, VS Code, JetBrains IDEs, Cursor, and other MCP clients.
111 18 MCP -
7
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 -
8
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 -
9
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 -
10
MarkItDown
Convert diverse files into Markdown for seamless LLM integration.
MarkItDown is a lightweight Python utility for converting a wide range of file types—including PDF, Office documents, images, audio, websites, and more—into structured Markdown optimized for language models and text analysis tools. It includes an implementation of the Model Context Protocol (MCP) to facilitate integration with LLM applications, such as Claude Desktop. MarkItDown supports context-aware document conversions, prioritizing preservation of hierarchy and meaningful content, and can be used via CLI or as a library.
82,918 4,694 MCP -
11
Open Data Model Context Protocol
Easily connect open data providers to LLMs using a Model Context Protocol server and CLI.
Open Data Model Context Protocol enables seamless integration of open public datasets into Large Language Model (LLM) applications, starting with support for Claude. Through a CLI tool and server, users can access and query public data providers within their LLM clients. It also offers tools and templates for contributors to publish and distribute new open datasets, making data discoverable and actionable for LLM queries.
140 21 MCP -
12
OpenStreetMap MCP Server
Enhancing LLMs with geospatial and location-based capabilities via the Model Context Protocol.
OpenStreetMap MCP Server enables large language models to interact with rich geospatial data and location-based services through a standardized protocol. It provides APIs and tools for address geocoding, reverse geocoding, points of interest search, route directions, and neighborhood analysis. The server exposes location-related resources and tools, making it compatible with MCP hosts for seamless LLM integration.
134 30 MCP -
13
OpenMCP
A standard and registry for converting web APIs into MCP servers.
OpenMCP defines a standard for converting various web APIs into servers compatible with the Model Context Protocol (MCP), enabling efficient, token-aware communication with client LLMs. It also provides an open-source registry of compliant servers, allowing clients to access a wide array of external services. The platform supports integration with local and remote hosting environments and offers tools for configuring supported clients, such as Claude desktop and Cursor. Comprehensive guidance is offered for adapting different API formats including REST, gRPC, GraphQL, and more into MCP endpoints.
252 27 MCP -
14
VideoDB Agent Toolkit
AI Agent toolkit that exposes VideoDB context to LLMs with MCP support
VideoDB Agent Toolkit provides tools for exposing VideoDB context to large language models (LLMs) and agents, enabling integration with AI-driven IDEs and chat agents. It automates context generation, metadata management, and discoverability by offering structured context files like llms.txt and llms-full.txt, and standardized access via the Model Context Protocol (MCP). The toolkit ensures synchronization of SDK versions, comprehensive documentation, and best practices for seamless AI-powered workflows.
43 8 MCP -
15
Open Feishu MCP Server
A Cloudflare-based remote MCP server with integrated Feishu OAuth authentication.
Open Feishu MCP Server provides a fully functional remote Model Context Protocol (MCP) server with integrated Feishu OAuth support. It enables zero-configuration user authentication and context management via Feishu accounts and is optimized for usability and tool set performance. Designed for deployment on Cloudflare Workers, it offers scalable, secure connectivity with multiple clients and supports seamless integration with various tools and platforms.
66 9 MCP -
16
mcp-pandoc
Seamless document format conversion via the Model Context Protocol.
mcp-pandoc is a Model Context Protocol (MCP) server for document format conversion powered by Pandoc. It enables bidirectional transformation of content between various document formats while preserving structure and formatting. Designed for integration in AI workflows, it allows standardized and programmatic conversion suitable for large language models and tool-augmented assistants. The project exposes conversion functionality both by direct content submission and via input files.
445 57 MCP -
17
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 -
18
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 -
19
Outsource MCP
Unified MCP server for multi-provider AI text and image generation
Outsource MCP is a Model Context Protocol server that bridges AI applications with multiple model providers via a single unified interface. It enables AI tools and clients to access over 20 major providers for both text and image generation, streamlining model selection and API integration. Built on FastMCP and Agno agent frameworks, it supports flexible configuration and is compatible with MCP-enabled AI tools. Authentication is provider-specific, and all interactions use a simple standardized API format.
26 5 MCP -
20
RivalSearchMCP
Advanced MCP server for web research, discovery, and trend analysis.
RivalSearchMCP is an advanced Model Context Protocol (MCP) server designed to streamline web research, content discovery, and trend analysis. It offers tools for multi-engine web search, intelligent content retrieval, website analysis, and AI-driven content insights. The platform includes integrated trends analysis, research workflows with progress tracking, and automated generation of LLMs.txt documentation files. Its anti-detection features, real-time content streaming, and flexible data export options make it ideal for complex research and automation workflows.
10 7 MCP -
21
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 -
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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 -
23
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 -
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MaxMSP-MCP Server
Bridge LLMs with Max patches via Model Context Protocol
MaxMSP-MCP Server enables large language models to understand, explain, and generate Max patches by leveraging the Model Context Protocol. It connects LLM agents with MaxMSP environments, providing access to documentation and patch objects for detailed interaction. Installation includes both a Python server and Max environment integration, facilitating seamless Python-Max communication. The tool supports explaining patches, debugging, and synthesizer creation directly through LLM interfaces.
106 12 MCP -
25
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 -
26
MCP Link
Convert Any OpenAPI V3 API to an MCP Server for seamless AI Agent integration.
MCP Link enables automatic conversion of any OpenAPI v3-compliant RESTful API into a Model Context Protocol (MCP) server, allowing instant compatibility with AI-driven agent frameworks. It eliminates the need for manual interface creation and code modification by translating OpenAPI schemas into MCP endpoints. MCP Link supports robust feature mapping and authentication, making it easy to expose existing APIs to AI ecosystems using a standardized protocol. The tool is designed for both developers and organizations seeking to streamline API integration with AI agents.
572 68 MCP -
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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 -
28
Opik MCP Server
A unified Model Context Protocol server for Opik with multi-transport IDE integration.
Opik MCP Server is an open-source implementation of the Model Context Protocol (MCP) designed for the Opik platform. It enables seamless integration with compatible IDEs and provides a unified interface to manage Opik's features such as prompts, projects, traces, and metrics. Supporting multiple transport mechanisms like stdio and experimental SSE, it simplifies workflow integration and platform management for LLM applications. The tool aims to streamline development and monitoring by offering standardized access and control over Opik's capabilities.
182 27 MCP -
29
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 -
30
AgentMail Toolkit
Integrates agent frameworks and protocols with AgentMail API for seamless interoperability.
AgentMail Toolkit provides seamless integration of popular agent frameworks and protocols, including the Model Context Protocol (MCP), OpenAI Agents SDK, and Vercel AI SDK, with the AgentMail API. It supports both Python and Node environments, enabling developers to build and manage agent workflows across different platforms and standards.
32 7 MCP -
31
Chroma MCP Server
A self-hosted Model Context Protocol (MCP) server for Chroma vector database integration.
Chroma MCP Server implements the Model Context Protocol to allow seamless integration between LLM applications and external data using the Chroma embedding database. It enables AI models to create, manage, and query collections with advanced vector search, full text search, and metadata filtering. The server supports both ephemeral and persistent client types, along with integration for HTTP and cloud-based Chroma instances. Multiple embedding functions, collection management tools, and rich document operations are available for extensible LLM workflows.
418 78 MCP -
32
Filestash
A modular, extensible file manager with robust API and LLM Model Context Protocol (MCP) integration.
Filestash is a versatile file manager that supports a wide range of backends including FTP, SFTP, WebDAV, S3, SMB, and popular cloud storage services such as Dropbox and Google Drive. It features a plugin-driven architecture and workflow engine for customization and automation and offers built-in viewers for images, music, and video. Filestash provides an API interface and explicit LLM integration via Model Context Protocol (MCP), enabling advanced file management automation and AI-driven workflows.
13,013 930 MCP -
33
Zettelkasten MCP Server
A Zettelkasten-based knowledge management system implementing the Model Context Protocol.
Zettelkasten MCP Server provides an implementation of the Zettelkasten note-taking methodology, enriched with bidirectional linking, semantic relationships, and categorization of notes. It enables creation, exploration, and synthesis of atomic knowledge using MCP for AI-assisted workflows. The system integrates with clients such as Claude and supports markdown, advanced search, and a structured prompt framework for large language models. The dual storage architecture and synchronous operation model ensure flexibility and reliability for managing personal or collaborative knowledge bases.
114 21 MCP -
34
PostHog MCP
Easily deploy and manage Model Context Protocol servers across multiple platforms.
PostHog MCP provides a server implementation for the Model Context Protocol, now maintained within the PostHog monorepo. It enables quick deployment for enhanced model context management across editors like Cursor, Claude, Claude Code, VS Code, and Zed. Users can install the MCP server with a single command, streamlining integration for large language model workflows. Documentation and further details are provided through official PostHog resources.
138 23 MCP -
35
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 -
36
Markdownify MCP Server
Convert diverse files and web content into Markdown via the Model Context Protocol.
Markdownify MCP Server offers a protocol-based server that transforms various file types—including PDF, images, audio, DOCX, XLSX, and PPTX—as well as web content like YouTube videos, Bing search results, and web pages into Markdown format. The server exposes a suite of conversion tools through a standardized interface for easy integration with applications. Optional configuration allows retrieval of Markdown files from restricted directories, and the platform supports development customization for additional tool integration. Deployment and operation are straightforward with cross-platform support (with pending Windows improvements).
2,256 188 MCP -
37
MCP Text Editor Server
A line-oriented text editor server implementing the Model Context Protocol for efficient and safe file editing.
MCP Text Editor Server provides line-based text file editing capabilities through a Model Context Protocol-compliant API. It enables efficient partial file access, robust conflict detection, and multi-file atomic operations, optimized for integration with large language model tools. With flexible character encoding support and concurrent editing safeguards, it is suited for collaborative and automated environments requiring reliable and token-efficient file manipulation.
175 22 MCP -
38
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 -
39
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 -
40
Optuna MCP Server
Automated model optimization and analysis via the Model Context Protocol using Optuna.
Optuna MCP Server is an implementation of the Model Context Protocol (MCP) that enables automated hyperparameter optimization and analysis workflows through Optuna. It acts as a server providing standardized tools and endpoints for creating studies, managing trials, and visualizing optimization results. The server facilitates integration with MCP clients and supports deployment via both Python environments and Docker. It streamlines study creation, metric management, and result handling using Optuna’s capabilities.
65 21 MCP -
41
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 -
42
Portainer MCP
Connect AI assistants securely to Portainer environments using the Model Context Protocol.
Portainer MCP is an implementation of the Model Context Protocol (MCP) designed for seamless integration between AI assistants and Portainer-managed container environments. It enables management of Portainer resources and allows execution of Docker and Kubernetes commands through AI interfaces in a secure, standardized manner. The tool provides direct protocol-based access to environment data, facilitating automation and operational insights for container infrastructures.
81 16 MCP -
43
Graphlit MCP Server
Integrate and unify knowledge sources for RAG-ready AI context with the Graphlit MCP Server.
Graphlit MCP Server provides a Model Context Protocol interface, enabling seamless integration between MCP clients and the Graphlit platform. It supports ingestion from a wide array of sources such as Slack, Discord, Google Drive, email, Jira, and GitHub, turning them into a searchable, RAG-ready knowledge base. Built-in tools allow for document, media extraction, web crawling, and web search, as well as advanced retrieval and publishing functionalities. The server facilitates easy configuration, sophisticated data operations, and automated notifications for diverse workflows.
369 49 MCP -
44
investor-agent
Comprehensive Financial Analysis Server for LLMs via Model Context Protocol
investor-agent is an MCP server designed to deliver in-depth financial insights and market analysis to Large Language Models. It leverages real-time data sources and advanced analysis tools to provide information such as market movers, ticker data, options chains, historical prices, financial statements, ownership structure, and sentiment indices. The platform features robust caching and error handling for reliable and efficient data delivery while supporting extensible financial analytics with optional technical indicators and intraday data.
286 51 MCP -
45
OpenZIM MCP Server
Transforms ZIM archives into intelligent, structured knowledge engines for LLMs.
OpenZIM MCP Server provides structured, intelligent access to ZIM-format knowledge bases, enabling large language models to efficiently search, navigate, and understand content in offline archives. Dual operation modes allow support for both advanced and simple LLM integrations. It features smart navigation by namespace, context-aware discovery, intelligent search, and relationship mapping to optimize knowledge extraction and utilization.
8 2 MCP -
46
TrackMage MCP Server
Shipment and logistics tracking MCP server with multi-carrier support.
TrackMage MCP Server implements the Model Context Protocol (MCP) to provide shipment tracking, logistics management, and API integration for over 1,600 carriers worldwide. It allows integration with major LLMs, supports resources such as workspaces, shipments, orders, carriers, and tracking statuses, and offers tools to create, update, and monitor shipments and orders. The server supports OAuth-based authentication, flexible configuration via environment variables, and can be deployed locally for customized logistics operations.
1 4 MCP -
47
mcp-server-templates
Deploy Model Context Protocol servers instantly with zero configuration.
MCP Server Templates enables rapid, zero-configuration deployment of production-ready Model Context Protocol (MCP) servers using Docker containers and a comprehensive CLI tool. It provides a library of ready-made templates for common integrations—including filesystems, GitHub, GitLab, and Zendesk—and features intelligent caching, smart tool discovery, and flexible configuration options via JSON, YAML, environment variables, or CLI. Perfect for AI developers, data scientists, and DevOps teams, it streamlines the process of setting up and managing MCP servers and has evolved into the MCP Platform for enhanced capabilities.
5 1 MCP -
48
dicom-mcp
A Model Context Protocol server for managing and querying DICOM medical imaging data.
dicom-mcp enables AI assistants and tools to query, read, and transfer data on DICOM servers, such as PACS and VNA systems. It integrates with MCP-compatible clients, offering tooling for searching patient records, retrieving medical reports, and sending image data to analysis endpoints. Configurable via YAML, it streamlines operations on DICOM databases for research and development in medical imaging. It is explicitly designed for interoperability with LLM-based AI workflows.
74 21 MCP -
49
Tilt MCP Server
Programmatic Access to Tilt via Model Context Protocol for LLMs
Tilt MCP Server provides Model Context Protocol (MCP) capabilities to enable seamless integration between Tilt—an environment for managing Docker/Kubernetes workloads—and large language model (LLM) applications. It allows LLMs and AI assistants to interact programmatically with Tilt resources, retrieve logs, monitor status, trigger actions, and utilize guided workflows. The server exposes standardized resources, tools, and prompts for intelligent management and automation of Tilt-based development environments.
2 1 MCP -
50
K8M
AI-driven lightweight Kubernetes dashboard with integrated MCP and multi-cluster management.
K8M is an AI-enabled mini Kubernetes dashboard built with a focus on simplifying cluster management and enhancing user experience. Utilizing the Model Context Protocol (MCP), K8M offers visual management for MCP, allowing AI models to interact with Kubernetes resources and tools easily, supporting over 49 built-in MCP tools. It enables powerful multi-cluster management, integrates advanced AI capabilities such as chat-driven resource explanation and diagnostics, and supports custom large model integration including private deployments and models like Ollama.
702 119 MCP
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