Kaggle MCP Server alternatives

1

MCP Server for Data Exploration

Interactive Data Exploration and Analysis via Model Context Protocol

MCP Server for Data Exploration enables users to interactively explore and analyze complex datasets using prompt templates and tools within the Model Context Protocol ecosystem. Designed as a personal Data Scientist assistant, it facilitates the conversion of raw data into actionable insights without manual intervention. Users can load CSV datasets, run Python scripts, and generate tailored reports and visualizations through an AI-powered interface. The server integrates directly with Claude Desktop, supporting rapid setup and seamless usage for both macOS and Windows.

503 63 MCP

2

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

3

Unsplash MCP Server

Seamless Unsplash image integration via the Model Context Protocol.

Unsplash MCP Server provides a simple and robust interface to search and integrate high-quality Unsplash images through the Model Context Protocol (MCP). It offers advanced photo search capabilities with filters for keywords, color schemes, orientation, and sorting. Designed for easy integration with development environments such as Cursor and Smithery, it simplifies embedding Unsplash image search into AI and automation workflows.

186 20 MCP

4

DuckDuckGo Search MCP Server

A Model Context Protocol server for DuckDuckGo web search and intelligent content retrieval.

DuckDuckGo Search MCP Server provides web search capabilities through DuckDuckGo, with advanced content fetching and parsing tailored for large language models. It supports rate limiting, error handling, and delivers results in an LLM-friendly format. The server is designed for seamless integration with AI applications and tools like Claude Desktop, enabling enhanced web search and content extraction through the Model Context Protocol.

637 118 MCP

5

tavily-search MCP server

A search server that integrates Tavily API with Model Context Protocol tools.

tavily-search MCP server provides an MCP-compliant server to perform search queries using the Tavily API. It returns search results in text format, including AI responses, URLs, and result titles. The server is designed for easy integration with clients like Claude Desktop or Cursor and supports both local and Docker-based deployment. It facilitates AI workflows by offering search functionality as part of a standardized protocol interface.

44 11 MCP

6

mcp-local-rag

Local RAG server for web search and context injection using Model Context Protocol.

mcp-local-rag is a local server implementing the Model Context Protocol (MCP) to provide retrieval-augmented generation (RAG) capabilities. It performs live web search, extracts relevant context using Google's MediaPipe Text Embedder, and supplies the information to large language models (LLMs) for enhanced, up-to-date responses. The tool is designed for easy local deployment, requiring no external APIs, and is compatible with multiple MCP clients. Security audits are available, and integration is demonstrated across several LLM platforms.

89 18 MCP

7

Catalysis Hub MCP Server

MCP-compliant server for accessing catalysis research data via GraphQL.

Catalysis Hub MCP Server provides a Model Context Protocol interface to the Catalysis Hub's GraphQL API, enabling seamless programmatic access to catalyst research datasets. It allows users to execute flexible and complex GraphQL queries to retrieve reaction, material, and publication data. The server supports robust error handling, parameterized queries, and is designed for interoperability with AI agents in scientific workflows.

1 3 MCP

8

Driflyte MCP Server

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

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

9 2 MCP

9

Kagi MCP Server

Integrate Kagi Search and Summarization as Model Context Protocol tools.

Kagi MCP Server enables easy integration of Kagi's search and summarization capabilities with AI systems via the Model Context Protocol. It facilitates tool-based queries such as searching web results or summarizing content, and offers setup instructions for various platforms including Claude Desktop. Users can install and configure the server through package managers, Smithery, or direct Python environments. The project provides configurable environment variables for API access and summarization engine selection, supporting both local development and production usage.

216 24 MCP

10

ArXiv MCP Server

Seamless AI access to arXiv papers via MCP interface

ArXiv MCP Server enables AI assistants to search, retrieve, and interact with research papers from arXiv using the Model Context Protocol. It provides programmatic access for paper search, download, reading, and management, supporting integration with MCP-compatible clients. The solution offers both installation via Smithery and manual setup, along with tools for efficient paper handling. Local storage ensures quick access to previously downloaded papers and relevant research prompts.

1,863 134 MCP

11

mcp-git-ingest

MCP server for exploring GitHub repository structures and key files.

mcp-git-ingest is a Model Context Protocol (MCP) server designed to programmatically read and visualize GitHub repository structures and retrieve important file contents. It leverages fastmcp for server functionality and gitpython for repository operations, ensuring robust error handling and cleanup. The tool offers commands to generate directory trees and fetch specified files, making it suitable for integrating repository context into AI workflows.

286 38 MCP

12

MCP-wolfram-alpha

An MCP server for querying the Wolfram Alpha API.

MCP-wolfram-alpha provides an implementation of the Model Context Protocol, enabling integration with the Wolfram Alpha API. It exposes prompts and tools to facilitate AI systems in answering natural language queries by leveraging Wolfram Alpha's computational knowledge engine. The server requires an API key and offers configuration examples for seamless setup and development.

64 17 MCP

13

Jupyter MCP Server

Real-time, context-aware MCP server for managing and interacting with Jupyter Notebooks.

Jupyter MCP Server is an implementation of the Model Context Protocol (MCP) designed to enable AI-driven, real-time management and interaction with Jupyter Notebooks. It offers context-aware capabilities, smart execution features, and multimodal output handling, seamlessly integrating with JupyterLab and supporting multiple notebooks simultaneously. The server is compatible with any MCP client and can work with local or hosted Jupyter deployments.

765 127 MCP

14

BGG MCP

Model Context Protocol server for BoardGameGeek data, collections, pricing, and recommendations.

BGG MCP provides access to BoardGameGeek data via the Model Context Protocol, enabling AI assistants to retrieve and filter information on board games, user collections, prices, and gameplay recommendations. Implemented in Go, it leverages BoardGameGeek APIs and includes advanced tools such as rule question answering and game trading discovery. Additional integrations include real-time price data from BoardGamePrices.co.uk and algorithmic recommendations from Recommend.Games, making it a comprehensive MCP server for gaming-related contexts.

21 5 MCP

15

Gitingest-MCP

An MCP server for extracting GitHub repository summaries, structure, and file content.

Gitingest-MCP serves as a Model Context Protocol (MCP) server compatible with context-aware AI tools. It enables MCP clients such as Claude Desktop, Cline, Cursor, and others to quickly and efficiently extract key information from GitHub repositories, including summaries, the directory tree, and individual file contents. It supports installation via Smithery or manual configuration and is designed for seamless integration into the MCP client ecosystem. Documentation provides guidance on installation, configuration, and debugging.

131 25 MCP

16

CVE-Search MCP Server

MCP server for querying and managing CVE-Search vulnerability data.

CVE-Search MCP Server implements the Model Context Protocol to provide structured access to the CVE-Search API. It enables querying vendors, products, and vulnerabilities, as well as retrieving detailed information for specific CVEs. The server facilitates model context integration via MCP client tools, supporting seamless interactions for vulnerability data management.

67 11 MCP

17

kagi-server MCP Server

TypeScript-based MCP server for Kagi Search API integration.

Kagi-server MCP Server provides a TypeScript implementation of a Model Context Protocol (MCP) server that integrates with the Kagi Search API. It enables standardized tool access for performing web searches and plans for features like summarization, FastGPT integration, and enriched news results. Compatible with Claude Desktop and Smithery installations, it supports secure environment configuration and offers developer utilities such as automatic build and debugging via MCP Inspector.

40 11 MCP

18

MCP Server Giphy

MCP-compatible Giphy API server for AI models to search and retrieve GIFs.

MCP Server Giphy provides an MCP-compliant server interface for accessing GIFs from the Giphy API, specifically tailored for seamless integration with AI models. It supports content filtering, multiple retrieval methods (search, trending, random), and optimized response formats with comprehensive metadata. The server enables AI applications to search, retrieve, and utilize GIF content efficiently, and is easily configurable with tools like Claude Desktop.

22 8 MCP

19

Coinmarket MCP server

Access CoinMarketCap data through MCP for AI models and tools

Coinmarket MCP Server provides an interface for accessing CoinMarketCap cryptocurrency data via the Model Context Protocol. It supports retrieving the latest currency listings and token quotes using custom URI schemes. The server is compatible with environments like Claude Desktop and Docker, and requires a CoinMarketCap API key for operation.

43 15 MCP

20

Yahoo Finance MCP Server

A simple MCP server to access Yahoo Finance data via standardized tools.

Yahoo Finance MCP Server provides a Model Context Protocol (MCP) server enabling seamless access to financial data from Yahoo Finance. It offers a set of standardized tools to fetch stock information, news, historical prices, and perform advanced searches. The server can be deployed using either Docker or uv with straightforward configuration. It is designed to easily integrate with MCP-compatible AI environments and workflows.

68 28 MCP

21

Stocky

Find beautiful royalty-free stock images across multiple providers in one search.

Stocky enables fast, asynchronous search and retrieval of royalty-free stock images from Pexels and Unsplash through a unified MCP-compatible interface. It supports rich metadata, provider flexibility, pagination, and robust error handling. Designed to operate as an MCP (Model Context Protocol) server, it integrates with MCP clients using standard client configuration and environment variables for API keys. Stocky provides Python async functions for searching, retrieving details, and downloading images with flexible output options.

14 7 MCP

22

MCP Local RAG

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

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

10 3 MCP

23

Naver Search MCP Server

Unified Naver Search and DataLab API integration for context-aware tools.

Naver Search MCP Server provides a Model Context Protocol (MCP) compliant server that integrates Naver Search and DataLab APIs. It enables easy and comprehensive search across a wide range of Naver services, as well as advanced trend analysis with context-aware tools. The implementation supports Smithery platform installation, temporal context handling, and offers tools for both information retrieval and data analytics within the Naver ecosystem.

45 20 MCP

24

Grafana-Loki MCP Server

A FastMCP server for querying Grafana Loki logs via the Model Context Protocol.

Grafana-Loki MCP Server is a FastMCP-compliant server that enables querying and formatting of Grafana Loki logs using the Model Context Protocol (MCP). It supports various transport protocols (stdio and SSE) and provides tools for querying logs, retrieving labels and label values, and formatting log results in multiple output formats. The server integrates with Grafana's API, offering both command-line and environment variable configuration options for flexibility. Designed for seamless integration into AI model context workflows, it enhances log retrieval and processing in context-aware applications.

18 3 MCP

25

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

26

Grafana MCP Server

Provide standardized MCP access to Grafana dashboards, datasources, and observability data.

Grafana MCP Server implements the Model Context Protocol (MCP) to interface with Grafana and its ecosystem. It enables querying, modifying, and summarizing dashboards, managing datasources, and running queries against Prometheus and Loki, all with explicit context window management. Additional features include incident management and Sift investigation retrieval.

1,850 186 MCP

27

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

28

Everything Search MCP Server

Fast, cross-platform file search via Model Context Protocol integration.

Everything Search MCP Server provides fast file and folder search capabilities across Windows, macOS, and Linux platforms as an MCP server. It leverages native search utilities such as the Everything SDK on Windows, mdfind on macOS, and locate/plocate on Linux. The tool exposes a standardized search interface with customizable parameters including query, sorting, and matching options. It is suitable for integration with AI clients or automation tools that follow the Model Context Protocol.

268 35 MCP

29

GeekNews MCP Server

Fetches and serves GeekNews articles and weekly news via Model Context Protocol.

GeekNews MCP Server provides an MCP-compliant server to extract articles and weekly news from GeekNews, using Python and BeautifulSoup for web scraping. It supports scheduled automatic parsing and caching of data to minimize server load and ensure efficient retrieval. The server exposes tools to obtain articles by type and weekly news, offering structured metadata for each item. Integration is facilitated via Smithery and is compatible with the MCP ecosystem.

16 6 MCP

30

mcp-server-opendal

Model Context Protocol server for accessing diverse storage services via Apache OpenDAL.

mcp-server-opendal is an implementation of the Model Context Protocol (MCP) that offers seamless access to a variety of storage services through Apache OpenDAL. It enables listing and reading files from services like S3, Azure Blob Storage, and Google Cloud Storage, while supporting environment variable-based configuration. The tool integrates with platforms such as Claude Desktop and can be easily configured using environment variables or a .env file.

33 7 MCP

31

box-mcp-server

Expose your Box files to AI with a Model Context Protocol server.

box-mcp-server lets users connect their Box accounts to AI applications via the Model Context Protocol (MCP). It securely authenticates to Box with enterprise credentials or developer tokens and serves file search and reading capabilities to downstream clients. Designed for use with Claude Desktop and the MCP Inspector, it provides seamless integration of Box documents into AI workflows.

10 11 MCP

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MCP Server for the RAG Web Browser Actor

Local MCP server enabling LLMs to browse and extract web content via RAG Web Browser integration.

Implements a Model Context Protocol (MCP) server designed for integration with LLMs and Retrieval-Augmented Generation (RAG) pipelines, providing automated web search and web page extraction capabilities. Runs locally and interacts with the RAG Web Browser Actor in Standby mode, responding to queries by fetching, scraping, and returning cleaned content from the web as Markdown. Supports Google Search queries and direct URL fetching through a standardized 'search' tool interface, offering multiple output formats and programmable arguments. Deprecated in favor of mcp.apify.com but illustrates MCP server use for local web browsing integrations.

194 25 MCP

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mcp-simple-arxiv

MCP server to search and retrieve arXiv scientific papers for LLM clients.

mcp-simple-arxiv is an MCP-compliant server that enables language model clients to search and retrieve metadata, abstracts, and links for arXiv scientific papers. It can be run locally or as a network-accessible web service, facilitating seamless integration with desktop LLM clients like Claude Desktop. The server adheres to arXiv API guidelines, supports both stdio and web deployment modes, and is designed for easy installation through pip or Smithery. Users can perform detailed searches, view paper summaries, and access available formats directly from their preferred AI clients.

164 21 MCP

34

mcp-paperswithcode

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

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

14 7 MCP

35

Chess.com MCP Server

Standardized MCP server for accessing and analyzing Chess.com public data

Provides a Model Context Protocol (MCP) server that interfaces with Chess.com's public API, enabling AI assistants and applications to access player data, game records, clubs, and titled players through standardized tools. Offers Docker and UV-based deployment, and is configurable to suit specific assistant and client requirements. Supports seamless integration with Claude Desktop and exposes multiple ready-to-use tools for chess data retrieval and analysis.

54 15 MCP

36

PancakeSwap PoolSpy MCP Server

Real-time tracking of new PancakeSwap pools for DeFi analytics.

PancakeSwap PoolSpy MCP Server provides a Model Context Protocol-compatible service for monitoring newly created liquidity pools on PancakeSwap. It offers real-time analytics including pool address, tokens, creation timestamp, volume, and total value locked. Users can customize queries for time range and results count, making it valuable for traders, analysts, and developers seeking up-to-date DeFi insights. The server is designed for easy deployment and integration via Smithery or manual setup.

6 4 MCP

37

MCP Google Drive Server

Seamlessly connect Google Drive and Sheets with MCP tools for file access and editing.

The MCP Google Drive Server enables integration with Google Drive and Google Sheets, allowing users to search, read, and retrieve files, as well as interact with spreadsheets. It provides MCP-compatible tools for searching files, reading file contents, reading spreadsheet ranges, and updating spreadsheet cells. Files in Google Drive are made accessible through standardized resources, supporting multiple export formats for Google Workspace files. Designed for easy authentication and configuration with Google Cloud, the server streamlines interactions between external systems and Google Drive resources.

228 85 MCP

38

MCP Internet Speed Test

Standardized internet speed and network performance testing for AI models via MCP.

MCP Internet Speed Test implements the Model Context Protocol (MCP) to enable AI models and agents to measure, analyze, and report diverse network performance metrics through a standardized interface. It supports download, upload, latency, jitter, and cache analysis, along with multi-CDN and geographic location detection. By offering an MCP-compatible server with robust testing features, it allows seamless integration with LLMs and AI tools for real-time network assessment and diagnostics.

11 7 MCP

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Product Hunt MCP Server

Plug-and-play MCP server for accessing Product Hunt data with LLMs and agents.

Product Hunt MCP Server acts as a bridge between Product Hunt’s API and any agent or LLM that supports the Model Context Protocol (MCP). It enables fast and standardized access to posts, collections, topics, users, comments, and votes on Product Hunt. Built on FastMCP, it ensures seamless compatibility with popular AI tooling like Claude Desktop and Cursor. Integration is straightforward, requiring only a Product Hunt API token and simple configuration.

33 8 MCP

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mcp-server-qdrant

Official Model Context Protocol server for seamless integration with Qdrant vector search engine.

mcp-server-qdrant provides an official implementation of the Model Context Protocol for interfacing with the Qdrant vector search engine. It enables storing and retrieving contextual information, acting as a semantic memory layer for LLM-driven applications. Designed for easy integration, it supports environment-based configuration and extensibility via FastMCP. The server standardizes tool interfaces for managing and querying contextual data using Qdrant.

1,054 187 MCP

41

Azure Data Explorer MCP Server

Enables AI assistants to query and analyze Azure Data Explorer using the Model Context Protocol.

Azure Data Explorer MCP Server provides standardized MCP interfaces for AI assistants to execute KQL queries and interact with Azure Data Explorer (ADX/Kusto) databases. It supports secure authentication methods, database discovery, and delivers structured results in JSON format. Multiple deployment options, including Docker and various transports, enable flexible integration into development or production environments.

49 23 MCP

42

FHIR MCP Server

A Model Context Protocol server for seamless interaction with FHIR resources and AI tools.

FHIR MCP Server implements a full Model Context Protocol server, enabling large language model agents to perform comprehensive CRUD operations on FHIR-compliant healthcare data. It offers standardized integration with various clinical data sources, natural-language query capabilities, and supports secure authentication via OAuth2. The server includes semantic search, AI-powered document processing, terminology resolution, Docker deployment, and is optimized for use with MCP-compatible clients like Claude Desktop.

34 5 MCP

43

Multi-Database MCP Server (by Legion AI)

Unified multi-database access and AI interaction server with MCP integration.

Multi-Database MCP Server enables seamless access and querying of diverse databases via a unified API, with native support for the Model Context Protocol (MCP). It supports popular databases such as PostgreSQL, MySQL, SQL Server, and more, and is built for integration with AI assistants and agents. Leveraging the MCP Python SDK, it exposes databases as resources, tools, and prompts for intelligent, context-aware interactions, while delivering zero-configuration schema discovery and secure credential management.

76 19 MCP

44

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

45

Databricks MCP Server

Expose Databricks data and jobs securely with Model Context Protocol for LLMs.

Databricks MCP Server implements the Model Context Protocol (MCP) to provide a bridge between Databricks APIs and large language models. It enables LLMs to run SQL queries, list Databricks jobs, retrieve job statuses, and fetch detailed job information via a standardized MCP interface. The server handles authentication, secure environment configuration, and provides accessible endpoints for interaction with Databricks workspaces.

42 24 MCP

46

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

47

Aiven MCP Server

Model Context Protocol server enabling LLMs to access and manage Aiven cloud data services.

Aiven MCP Server implements the Model Context Protocol (MCP) to provide secure access to Aiven's PostgreSQL, Kafka, ClickHouse, Valkey, and OpenSearch services. It enables Large Language Models (LLMs) to seamlessly integrate and interact with these cloud data platforms, supporting full stack solution development. The server offers streamlined tools for project and service management via standardized APIs and supports integration with platforms like Claude Desktop and Cursor. Environment variable configuration and explicit permission controls are used to ensure secure and flexible operations.

11 11 MCP

48

greptimedb-mcp-server

A Model Context Protocol (MCP) server for secure, structured AI access to GreptimeDB.

greptimedb-mcp-server implements a Model Context Protocol (MCP) server for GreptimeDB, enabling AI assistants to securely explore and analyze database contents. It provides controlled operations such as listing tables, reading data, and executing SQL queries, ensuring responsible access. The server offers integration with Claude Desktop and supports prompt management for structured AI interactions.

23 11 MCP

49

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

50

Alkemi MCP Server

Integrate Alkemi Data sources with MCP Clients for seamless, standardized data querying.

Alkemi MCP Server provides a STDIO wrapper for connecting Alkemi data sources—including Snowflake, Google BigQuery, and Databricks—with MCP Clients using the Model Context Protocol. It facilitates context sharing, database metadata management, and query generation through a standardized protocol endpoint. Shared MCP Servers allow teams to maintain consistent, high-quality data querying capabilities without needing to replicate schemas or query knowledge for each agent. Out-of-the-box integration with Claude Desktop and robust debugging tools are also included.

2 1 MCP

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