anki-mcp alternatives

1

FastMCP

The fast, Pythonic way to build MCP servers and clients.

FastMCP is a production-ready framework for building Model Context Protocol (MCP) applications in Python. It streamlines the creation of MCP servers and clients, providing advanced features such as enterprise authentication, composable tools, OpenAPI/FastAPI generation, server proxying, deployment tools, and comprehensive client libraries. Designed for ease of use, it offers both standard protocol support and robust utilities for production deployments.

20,201 1,488 MCP

2

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

3

ws-mcp

WebSocket bridge for MCP stdio servers.

ws-mcp wraps Model Context Protocol (MCP) stdio servers with a WebSocket interface, enabling seamless integration with web-based clients and tools. It allows users to configure and launch multiple MCP servers via a flexible configuration file or command-line arguments. The tool is designed to be compatible with services such as wcgw, fetch, and other MCP-compliant servers, providing standardized access to system operations, HTTP requests, and more. Integration with tools like Kibitz enables broader applications in model interaction workflows.

19 7 MCP

4

mcp-datetime

Datetime formatting service MCP server for Claude Desktop App

mcp-datetime provides a datetime formatting service implemented as an MCP server for integration with the Claude Desktop Application. It offers generation of current date and time strings in various formats, including standard, Japanese, ISO, and filename-friendly outputs. The server exposes a 'get_datetime' tool for easy retrieval of formatted dates and times with support for timezone handling and multi-language output. Seamless integration and Python packaging facilitate installation and extensibility.

25 12 MCP

5

TickTick MCP

MCP server for AI-powered TickTick task management integration

TickTick MCP is a Model Context Protocol (MCP) server that enables standardized integration of TickTick's task management features with AI assistants and developer applications. It allows programmatic access to create, update, retrieve, complete, or delete tasks and projects in TickTick via Python. Using this MCP server, AI systems can leverage TickTick's API to help automate and manage user's to-do lists and projects through natural language or other interfaces.

6 6 MCP

6

TickTick MCP Server

Enable powerful AI-driven task management for TickTick via the Model Context Protocol.

TickTick MCP Server provides comprehensive programmatic access to TickTick task management features using the Model Context Protocol. Built on the ticktick-py library, it enables AI assistants and MCP-compatible applications to create, update, retrieve, and filter tasks with improved precision and flexibility. The server supports advanced filtering, project and tag management, subtask handling, and robust context management for seamless AI integration.

35 9 MCP

7

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

8

Kanboard MCP Server

MCP server for seamless AI integration with Kanboard project management.

Kanboard MCP Server is a Go-based server implementing the Model Context Protocol (MCP) for integrating AI assistants with the Kanboard project management system. It enables users to manage projects, tasks, users, and workflows in Kanboard directly via natural language commands through compatible AI tools. With built-in support for secure authentication and high performance, it facilitates streamlined project operations between Kanboard and AI-powered clients like Cursor or Claude Desktop. The server is configurable and designed for compatibility with MCP standards.

15 4 MCP

9

mcpmcp-server

Seamlessly discover, set up, and integrate MCP servers with AI clients.

mcpmcp-server enables users to discover, configure, and connect MCP servers with preferred clients, optimizing AI integration into daily workflows. It supports streamlined setup via JSON configuration, ensuring compatibility with various platforms such as Claude Desktop on macOS. The project simplifies the connection process between AI clients and remote Model Context Protocol servers. Users are directed to an associated homepage for further platform-specific guidance.

17 6 MCP

10

MCP Obsidian Server

Integrate Obsidian note management with AI models via the Model Context Protocol.

MCP Obsidian Server acts as a bridge between Obsidian and AI models by providing an MCP-compatible server interface. It enables programmatic access to Obsidian vaults through a local REST API, allowing operations like listing files, searching, reading, editing, and deleting notes. Designed to work with Claude Desktop and other MCP-enabled clients, it exposes a set of tools for efficient note and content management within Obsidian.

2,394 298 MCP

11

Insforge MCP Server

A Model Context Protocol server for seamless integration with Insforge and compatible AI clients.

Insforge MCP Server implements the Model Context Protocol (MCP), enabling smooth integration with various AI tools and clients. It allows users to configure and manage connections to the Insforge platform, providing automated and manual installation methods. The server supports multiple AI clients such as Claude Code, Cursor, Windsurf, Cline, Roo Code, and Trae via standardized context management. Documentation and configuration guidelines are available for further customization and usage.

3 2 MCP

12

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

13

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

14

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

15

books-mcp-server

A server implementation supporting Model Context Protocol integration with cherry-studio.

books-mcp-server allows users to set up a Model Context Protocol (MCP) compliant server for managing and interacting with AI models. It enables integration with cherry-studio through STDIO commands and structured server configurations. The tool provides straightforward setup instructions and supports launching the server with customizable parameters, making it suitable for various AI context management tasks.

5 2 MCP

16

MyMCP Server (All-in-One Model Context Protocol)

Powerful and extensible Model Context Protocol server with developer and productivity integrations.

MyMCP Server is a robust Model Context Protocol (MCP) server implementation that integrates with services like GitLab, Jira, Confluence, YouTube, Google Workspace, and more. It provides AI-powered search, contextual tool execution, and workflow automation for development and productivity tasks. The system supports extensive configuration and enables selective activation of grouped toolsets for various environments. Installation and deployment are streamlined, with both automated and manual setup options available.

93 9 MCP

17

PythonAnywhere Model Context Protocol Server

Bridge AI-powered tools with PythonAnywhere for secure, programmatic environment management.

PythonAnywhere Model Context Protocol Server implements the MCP, allowing AI clients and automation tools to securely manage files, web apps, and scheduled tasks within a PythonAnywhere account. It offers a standardized interface to perform core operations like editing files, deploying or managing web apps, and handling scheduled jobs with fine-grained access control. Designed for integration with tools such as Claude Desktop, GitHub Copilot, and Cursor, it ensures auditability of actions and supports multiple installation workflows.

8 4 MCP

18

cloudflare/mcp-server-cloudflare

Connect Cloudflare services to Model Context Protocol (MCP) clients for AI-powered management.

Cloudflare MCP Server enables integration between Cloudflare's suite of services and clients using the Model Context Protocol (MCP). It provides multiple specialized servers that allow AI models to access, analyze, and manage configurations, logs, analytics, and other features across Cloudflare's platform. Users can leverage natural language interfaces in compatible MCP clients to read data, gain insights, and perform automated actions on their Cloudflare accounts. This project aims to streamline the orchestration of security, development, monitoring, and infrastructure tasks through standardized MCP connections.

2,919 251 MCP

19

Modbus MCP Server

Standardizes Modbus data for seamless AI integration via the Model Context Protocol.

Modbus MCP Server provides an MCP-compliant interface that standardizes and contextualizes Modbus device data for use with AI agents and industrial IoT systems. It supports flexible Modbus connections over TCP, UDP, or serial interfaces and offers a range of Modbus tools for reading and writing registers and coils. With customizable prompts and structured tool definitions, it enables natural language-driven interactions and analysis of Modbus data within AI workflows. The solution is designed to ensure interoperability and easy configuration within MCP-compatible environments.

18 7 MCP

20

mcp-server-apache-airflow

A Model Context Protocol server for integrating Apache Airflow with MCP clients.

mcp-server-apache-airflow provides a Model Context Protocol (MCP) server implementation that allows standardized interaction with Apache Airflow environments. By wrapping Airflow's REST API, it enables MCP clients to manage and orchestrate workflows, DAGs, and runs in a consistent and interoperable manner. This implementation leverages the official Apache Airflow client library to ensure robust compatibility and maintainability. It streamlines the management of Airflow resources by exposing comprehensive endpoint coverage for key workflow operations.

109 28 MCP

21

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

22

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

23

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

24

MCP Server for Odoo

Connect AI assistants to Odoo ERP systems using the Model Context Protocol.

MCP Server for Odoo enables AI assistants such as Claude to interact seamlessly with Odoo ERP systems via the Model Context Protocol (MCP). It provides endpoints for searching, creating, updating, and deleting Odoo records using natural language while respecting access controls and security. The server supports integration with any Odoo instance, includes smart features like pagination and LLM-optimized output, and offers both demo and production-ready modes.

101 58 MCP

25

Aviationstack MCP Server

MCP server offering comprehensive endpoints for aviation and flight data.

Aviationstack MCP Server provides an MCP-compliant API that exposes tools to access real-time and scheduled flight data, aircraft details, random aircraft types, countries, and city information from the AviationStack API. It offers ready-to-use endpoints for airline-specific flight queries, airport schedules, and in-depth vehicle, country, and city data. The solution applies the Model Context Protocol by defining MCP tools as Python functions with standardized interfaces, designed for seamless integration into MCP-compatible environments. The server is built using Python, incorporates the FastMCP library, and is intended for easy deployment and use in application development.

11 4 MCP

26

OpenAI MCP Server

Bridge between Claude and OpenAI models using the MCP protocol.

OpenAI MCP Server enables direct querying of OpenAI language models from Claude via the Model Context Protocol (MCP). It provides a configurable Python server that exposes OpenAI APIs as MCP endpoints. The server is designed for seamless integration, requiring simple configuration updates and environment variable setup. Automated testing is supported to verify connectivity and response from the OpenAI API.

77 19 MCP

27

@growi/mcp-server

Bridge GROWI wiki content to AI models with context-aware access and management.

@growi/mcp-server acts as a Model Context Protocol (MCP) server that enables AI models to access, search, and manage GROWI wiki content within an organization. It facilitates seamless connection between multiple GROWI instances and language models, enhancing information retrieval and knowledge management capabilities. The platform provides comprehensive tools for page, tag, comment, and revision management as well as share link and user activity tracking. Its flexible configuration allows simultaneous operation with several GROWI apps for scalable deployment.

10 7 MCP

28

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

29

mcp-memgraph

Expose Memgraph database features via the Model Context Protocol.

mcp-memgraph provides an MCP (Model Context Protocol) server implementation, enabling Memgraph tools to be accessed over a lightweight STDIO protocol. It supports seamless integration with AI frameworks by standardizing context and communication for data-driven AI workflows. The toolkit is part of a larger suite for extending Memgraph with AI-powered capabilities, including tools for LangChain integration and automated database migration. Tested packages and usage examples are provided for quick adoption.

52 5 MCP

30

Kubectl MCP Server

Natural language Kubernetes management for AI assistants using the Model Context Protocol.

Kubectl MCP Server enables AI assistants such as Claude and Cursor to interact with Kubernetes clusters using natural language through the Model Context Protocol (MCP). It supports a wide range of Kubernetes operations including resource management, Helm integration, monitoring, diagnostics, and advanced security features. The server is designed to handle context-aware commands, maintain session memory, and provide intelligent command construction and explanations. Integration with multiple AI assistants and flexible transport protocols are supported for a seamless user experience.

734 137 MCP

31

mcp-server-atlassian-confluence

Seamlessly connect AI assistants to your Atlassian Confluence knowledge base.

Enables integration of AI assistants like Claude and Cursor AI directly with Atlassian Confluence, allowing users to interact with their documentation and knowledge base using natural language queries. Supports instant answers, search across all spaces, and access to specific Confluence content and discussions. Follows the Model Context Protocol (MCP) for standardized model context management and easy configuration with various AI assistants via STDIO transport or config files.

39 20 MCP

32

Web3 MCP

A Model Context Protocol server for unified blockchain data access.

Web3 MCP is a Model Context Protocol server that provides access to blockchain data through Ankr's Advanced API. It allows large language models to interact seamlessly with multiple blockchain networks such as Ethereum, BSC, Polygon, and Avalanche. With support for NFT, token, and blockchain query APIs, it enables users and AI agents to retrieve on-chain data, statistics, and analytics efficiently within an MCP context.

3 1 MCP

33

Slite MCP Server

Bridge Slite notes with AI model context using the MCP standard.

Slite MCP Server implements the Model Context Protocol to interface with Slite's API, enabling seamless search, retrieval, and hierarchical browsing of workspace notes. It exposes standardized tools for searching notes, retrieving content by ID, and navigating note structures, making Slite content programmatically accessible to contextual AI pipelines. Built in Node.js and TypeScript, it is configurable and supports authentication via API key.

0 0 MCP

34

Snowflake MCP Server

MCP server enabling secure and structured Snowflake database interaction with AI tools.

Snowflake MCP Server provides a Model Context Protocol-conformant interface to interact programmatically with Snowflake databases. It exposes SQL execution, schema exploration, and insight aggregation as standardized resources and tools accessible by AI assistants. The server offers read/write capabilities, structured resource summaries, and insight memoization suitable for contextual AI workflows. Integration is supported with popular AI platforms such as Claude Desktop via Smithery or UVX configurations.

170 75 MCP

35

CipherTrust Manager MCP Server

Enables AI assistants to access CipherTrust Manager securely via the Model Context Protocol.

CipherTrust Manager MCP Server provides an implementation of the Model Context Protocol (MCP), offering AI assistants such as Claude and Cursor a unified interface to interact with CipherTrust Manager resources. Communication is facilitated through JSON-RPC over stdin/stdout, enabling key management, CTE client management, user management, and connection management functionalities. The tool is configurable via environment variables and integrates with existing CipherTrust Manager instances using the ksctl CLI for secure resource access.

7 4 MCP

36

Unichat MCP Server

Universal MCP server providing context-aware AI chat and code tools across major model vendors.

Unichat MCP Server enables sending standardized requests to leading AI model vendors, including OpenAI, MistralAI, Anthropic, xAI, Google AI, DeepSeek, Alibaba, and Inception, utilizing the Model Context Protocol. It features unified endpoints for chat interactions and provides specialized tools for code review, documentation generation, code explanation, and programmatic code reworking. The server is designed for seamless integration with platforms like Claude Desktop and installation via Smithery. Vendor API keys are required for secure access to supported providers.

37 10 MCP

37

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

38

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

39

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

40

mcp-miro

Model Context Protocol server for integrating MIRO Whiteboard with AI workflows.

mcp-miro is a Model Context Protocol (MCP) compliant server that connects the MIRO Whiteboard Application to AI-based systems, such as Claude Desktop. It enables board manipulation, sticky note creation, bulk operations, and more through standardized MCP interfaces. Users can authenticate via OAuth and interact with MIRO boards programmatically for collaborative whiteboarding and automation tasks. The server can be installed using Smithery or mcp-get and supports debugging with the MCP Inspector.

97 31 MCP

41

MetaTrader MCP Server

Let AI assistants trade for you using natural language.

MetaTrader MCP Server is a bridge that connects AI assistants such as Claude and ChatGPT to the MetaTrader 5 trading platform via the Model Context Protocol (MCP). It enables users to perform trading actions on MetaTrader 5 through natural language instructions. The system supports real-time data access, full account management, and secure local credential handling, offering both MCP and REST API interfaces.

120 34 MCP

42

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

43

MCP Atlassian

AI-powered MCP server integrating Confluence and Jira workflows.

MCP Atlassian serves as a Model Context Protocol (MCP) server interface for Atlassian products such as Confluence and Jira, supporting both cloud and server/data center deployments. It enables AI assistants to access, search, and update Atlassian data contextually via standardized MCP endpoints. The integration streamlines tasks like intelligent issue filtering, documentation creation, and context-driven updates directly through natural language. Multiple authentication modes, including API tokens and OAuth 2.0, are supported for secure connectivity.

3,574 740 MCP

44

Apple Books MCP

Model Context Protocol server for integrating and managing Apple Books data with AI assistants.

Apple Books MCP is a server implementation of the Model Context Protocol (MCP) that enables AI assistants to access, organize, and interact with Apple Books data such as collections, books, highlights, notes, and annotations. It provides standardized tools for retrieving and searching book-related data, supporting integration with platforms like Claude Desktop. Designed for easy setup with Python or uv, it facilitates context-aware AI capabilities for reading and annotation workflows.

33 5 MCP

45

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

46

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

47

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

48

Make MCP Server (legacy)

Enable AI assistants to utilize Make automation workflows as callable tools.

Make MCP Server (legacy) provides a Model Context Protocol (MCP) server that connects AI assistants with Make scenarios configured for on-demand execution. It parses and exposes scenario parameters, allowing AI systems to invoke automation workflows and receive structured JSON outputs. The server supports secure integration through API keys and facilitates seamless communication between AI and Make's automation platform.

142 39 MCP

49

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

50

MCP Server for Iaptic

A Model Context Protocol server for accessing and managing Iaptic data with AI agents.

MCP Server for Iaptic implements the Model Context Protocol to enable AI models, such as Claude, to securely and efficiently interact with Iaptic's customer, purchase, transaction, and statistics data. The server provides a standardized interface and command set for querying and managing information related to customers, purchases, transactions, events, and application management. Designed for integration with Claude Desktop and similar AI clients, it offers both automated and manual installation options.

5 7 MCP

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