Infobip MCP Servers alternatives

1

Box MCP Server (Remote)

Securely connect AI agents to Box content and Box AI using the Model Context Protocol.

Box MCP Server (Remote) enables AI agent platforms to securely interact with Box data and AI-powered tools via the Model Context Protocol. It supports OAuth-based authentication and provides various capabilities, including user identification, file and folder operations, and access to Box AI tools. The service exposes an endpoint for easy integration by MCP-compatible clients while ensuring data never leaves the Box environment. It offers both admin console and developer console setup options and comprehensive documentation for connection.

0 3 MCP

2

Mifos MCP - Model Context Protocol (MCP)

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

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

17 12 MCP

3

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

4

LINE Bot MCP Server

MCP server connecting LINE Messaging API with AI agents

Provides a Model Context Protocol (MCP) server implementation for integrating AI agents with the LINE Messaging API. Enables sending text and flex messages, accessing user profiles, and managing features like rich menus via MCP-compatible endpoints. Designed for connecting AI-driven context management with LINE Official Accounts for experimental and production scenarios.

493 86 MCP

5

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

6

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

7

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

8

MCP Fathom Analytics

Unofficial MCP server for AI-powered access to Fathom Analytics data.

MCP Fathom Analytics provides an unofficial Model Context Protocol (MCP) server that enables AI assistants to access and interact with Fathom Analytics data. It integrates with the Fathom Analytics API via the @mackenly/fathom-api SDK, offering tools to retrieve account details, manage sites, list events, generate analytics reports, and access real-time visitor data. Designed for use in AI model workflows, it allows secure and flexible analytics integration and supports configuration for clients such as Claude Desktop.

2 5 MCP

9

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

10

Slack MCP Server

A feature-rich Model Context Protocol server for integrating Slack Workspaces with AI model context management.

Slack MCP Server acts as a Model Context Protocol (MCP) server tailored for Slack Workspaces, providing flexible integration modes including Stealth and OAuth. It enables advanced functionalities such as fetching channel and thread messages, supporting direct and group messages, smart history retrieval, and robust context management for AI workflows. Communication is supported over Stdio, SSE, and HTTP transports, and the platform includes enhanced features like user information embedding and cache support. Designed for enterprise and individual use, it allows seamless context extraction and management without compromising workspace security.

903 136 MCP

11

WhatsApp MCP Server

Bridge WhatsApp messaging to Model Context Protocol-compliant LLM agents.

WhatsApp MCP Server enables users to access, search, and interact with their personal WhatsApp messages through the Model Context Protocol. It connects to WhatsApp via the WhatsApp web multidevice API, stores messages locally in a SQLite database, and exposes them as tools to LLM-powered agents like Claude. Users can also send messages, media, and search contacts, all while retaining control over what is shared with the AI agent.

5,056 786 MCP

12

YCloud WhatsApp API MCP Server

Bridge YCloud WhatsApp API to AI models via Model Context Protocol.

YCloud WhatsApp API MCP Server enables seamless integration between the YCloud WhatsApp OpenAPI and AI models using the Model Context Protocol (MCP). It dynamically generates MCP tools from the OpenAPI specification, supporting interaction with all YCloud API endpoints. The server includes built-in handling for API authentication, parameter validation, and HTTP request/response management, and can be easily integrated with Claude desktop applications. Environment variable configuration allows flexible deployment and usage.

8 6 MCP

13

Membase-MCP Server

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

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

15 4 MCP

14

ServeMyAPI

Securely manage and serve API keys via macOS Keychain with an MCP interface

ServeMyAPI is a personal Model Context Protocol (MCP) server designed for macOS, enabling secure storage and access of API keys via the macOS Keychain. It provides both CLI and server interfaces for managing keys and supports stdio and HTTP/SSE transports for seamless integration with various clients. The tool allows natural language interaction and centralized, cross-project key management, aiming to improve developer workflows and AI assistant collaborations. ServeMyAPI eliminates common issues with environment files by offering secure, visible, and AI-accessible key storage.

23 5 MCP

15

Didlogic MCP Server

Standardized MCP interface for Didlogic API services

Didlogic MCP Server provides a Model Context Protocol-compliant server that enables Large Language Models to interact with Didlogic services through a standardized interface. It supports multiple transport modes, including STDIO, HTTP, and SSE, and offers tools for managing SIP accounts, balances, IP restrictions, and transaction histories. The server ensures secure API access via environment variables or bearer tokens and is easily configurable for LLM platforms, such as Claude.

3 5 MCP

16

GameBrain MCP API Clients

Easily connect to the GameBrain MCP server with customizable client configuration.

GameBrain MCP API Clients enables users to seamlessly integrate with the GameBrain Model Context Protocol (MCP) server by providing a ready-to-use configuration and client setup. Users can generate a free API key and connect to the server with minimal setup using the supplied JSON config. The tool is designed to facilitate standardized access and communication with remote model context providers.

2 2 MCP

17

Telephony MCP Server

MCP-based telephony server enabling LLMs to make voice calls and send SMS via Vonage.

Telephony MCP Server provides Model Context Protocol-based tools that allow integration of telephony operations, such as voice calls and SMS sending, with Large Language Model applications. Built with Python and leveraging the Vonage API, it exposes callable functions that LLMs can use to interact with the real world. The server defines tools like 'voice_call' and 'send_sms' for secure, programmatic communication via FastAPI interfaces. It is designed for agentic and tool-using AI systems to extend their operational capabilities beyond text generation.

12 3 MCP

18

vrchat-mcp

A Model Context Protocol (MCP) server for structured VRChat API interaction.

vrchat-mcp is an MCP server that enables structured and standardized interactions with the VRChat API. It offers a suite of tools to access and manage user, friend, avatar, world, group, favorite, invite, and notification data within VRChat. The server is designed for easy integration with applications like Claude Desktop and supports authentication, retrieval, and manipulation of key VRChat entities. It provides simple deployment and debugging options for developers.

45 6 MCP

19

Mattermost MCP Host

Connects Mattermost to MCP servers, enabling AI agent-powered tool orchestration within chat.

Mattermost MCP Host integrates the Model Context Protocol (MCP) with Mattermost, utilizing a LangGraph-based AI agent to facilitate seamless user interaction and dynamic tool execution directly in chat. It supports integration with multiple MCP servers, automatically discovers available tools, and allows users to issue commands or natural language requests. Conversational context is maintained in threads, and users can interact directly with MCP servers to manage resources and capabilities.

27 16 MCP

20

InfluxDB MCP Server

Model Context Protocol server for seamless InfluxDB 3 integration and management.

InfluxDB MCP Server provides a Model Context Protocol (MCP) interface for interacting with InfluxDB version 3 across various deployment types, including Core, Enterprise, Cloud Dedicated, and Cloud Serverless. It offers a suite of tools and resources to perform operations such as writing and querying data, managing databases, tokens, and monitoring health status. Designed for use with MCP clients, it supports context-aware interactions and standardizes access to InfluxDB resources. User authentication, database management, and operational assistance are integrated for robust database workflows.

21 7 MCP

21

Apache APISIX

Dynamic, high-performance API Gateway with AI and Model Context Protocol support

Apache APISIX is a real-time, high-performance API gateway that offers advanced traffic management features such as load balancing, dynamic routing, and authentication. It serves as both a traditional API gateway and an AI Gateway, supporting seamless proxying for AI workloads and managing LLM traffic. Notably, it includes the 'mcp-bridge' plugin, which allows for integration and conversion of stdio-based Model Context Protocol (MCP) servers to scalable HTTP SSE services, enabling robust context management for AI applications.

15,837 2,707 MCP

22

PayPal Agent Toolkit

Integrate PayPal APIs with popular agent frameworks using function calling.

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

165 87 MCP

23

CentralMind Gateway

Create an API or MCP Server for structured databases in minutes.

CentralMind Gateway automatically generates secure, LLM-optimized APIs for structured databases and exposes them via REST, OpenAPI 3.1, or the Model Context Protocol (MCP), including Server-Sent Events (SSE) for AI agents. It integrates privacy protection, auditing, and authentication mechanisms to enable seamless and compliant data access for AI-powered applications. The tool supports multiple database backends and is optimized for AI workloads, providing enhanced metadata for improved context understanding.

500 62 MCP

24

tasty-agent

Model Context Protocol server for TastyTrade portfolio monitoring and trading.

tasty-agent is a Model Context Protocol (MCP) server designed to enable LLMs to interface with TastyTrade brokerage accounts. It provides functionality for monitoring portfolios, analyzing market positions, and executing trades through a standardized API. The tool offers automated implied volatility (IV) analysis, supports real-time market data streaming, and features robust rate limiting and error handling to ensure reliability. Authentication is handled via OAuth, and the tool is easily configurable for MCP clients.

47 17 MCP

25

Firebase MCP

Connect AI assistants with Firebase services seamlessly using MCP.

Firebase MCP enables AI assistants to interact directly with Firebase services such as Firestore, Storage, and Authentication. It provides a server that integrates with established MCP clients, allowing tools to perform database operations, manage files, and handle user authentication within Firebase environments. The solution offers flexible setup options, including npx-based and local installations, and supports both stdio and HTTP transports for integration. Environment variables configure specific Firebase credentials and server behavior to ensure secure and reliable connections.

229 42 MCP

26

Inoyu Apache Unomi MCP Server

Model Context Protocol server for managing user profiles and context through Apache Unomi.

Inoyu Apache Unomi MCP Server provides Model Context Protocol support for user context management via Apache Unomi profile handling. It enables AI systems like Claude to maintain user state, lookup and update profiles, manage profile properties, and handle sessions through standardized tools. The implementation supports both Unomi v2 and v3, allowing for email-based profile creation and property updates while offering context isolation through scope management. JSON-based APIs are provided for streamlined integration and data exchange.

7 9 MCP

27

iMessage MCP

MCP server enabling LLM integration with macOS iMessage data.

iMessage MCP offers a Model Context Protocol (MCP) server that facilitates seamless integration between large language models (LLMs) and macOS iMessage data. It provides robust tools for searching and managing iMessage messages, conversations, and contacts in a read-only manner. Features include message and contact search, chat listing, and context retrieval, making it suitable for conversational agents and context-aware applications. Built using Deno and designed for easy integration with applications such as Claude Desktop, it handles context management efficiently for AI models.

16 3 MCP

28

joinly.ai

Enable AI agents to join and participate in your meetings.

joinly.ai is an open-source middleware that allows AI agents to join, interact, and execute tasks during live video calls across platforms like Zoom, Google Meet, and Microsoft Teams. Leveraging an MCP (Model Context Protocol) server, it provides essential meeting tools, modular integrations for TTS/STT, and supports any LLM provider. It enables real-time conversational flow, ensuring natural interactions and privacy-focused, self-hosted deployment.

393 48 MCP

29

memvid-mcp-server

A Streamable HTTP MCP Server for encoding and semantically searching video-based memory.

memvid-mcp-server provides a Model Context Protocol (MCP) compatible HTTP server that leverages memvid to encode text data into videos. It supports adding text chunks as video and performing semantic search over them using standardized MCP actions such as add_chunks and search. The server can be integrated with MCP clients via streamable HTTP and enables fast context retrieval for AI applications.

8 3 MCP

30

HOCR MCP Agent

MCP-compatible OCR server with Vue frontend for document processing.

HOCR MCP Agent provides a server that adheres to the Model Context Protocol and includes a Vue-based frontend for interacting with OCR and model context functionalities. It enables the handling, processing, and serving of HOCR (HTML-based OCR) data through a standardized backend. The server leverages FastAPI and uvicorn for deployment, while the frontend supports user interaction and visualization of results.

2 2 MCP

31

ntfy-mcp

Task completion notifications for AI assistants via ntfy.

ntfy-mcp integrates with the Model Context Protocol to provide real-time notifications via ntfy when AI assistants complete tasks. It serves as an MCP server, keeping users informed without needing to constantly monitor progress. The application supports flexible configuration, is built in Node.js, and works seamlessly with the ntfy mobile app for simple, customizable push alerts.

43 4 MCP

32

Wren Engine

Semantic Engine for MCP Clients and AI Agents

Wren Engine is a semantic engine designed for Model Context Protocol (MCP) clients and AI agents. It enables precise access to enterprise data by providing semantic understanding, trusted aggregations, and business term clarity across numerous data sources. With a focus on accurate context, calculation, and governance, it equips AI systems to interact safely and meaningfully with complex enterprise data. As part of the MCP ecosystem, it connects LLMs with databases and enterprise tools through standardized protocols.

496 138 MCP

33

FastMCP SonarQube Metrics

Message-based access to SonarQube data via the Fast Model Context Protocol.

Provides a FastMCP-based framework for programmatically retrieving metrics, project lists, historical data, and issues from SonarQube instances. Facilitates simplified message-based client-server communication, abstracting direct API interactions and enabling automation, reporting, and integration. Supports key actions including project creation, deletion, metric retrieval, and issue listing for SonarQube environments. Designed for developers, DevOps engineers, and analysts seeking to incorporate SonarQube data into broader workflows.

12 5 MCP

34

MCP Ping-Pong Server by Remote Call

An experimental MCP-based Ping-Pong server leveraging FastAPI and FastMCP for remote calls.

MCP Ping-Pong Server by Remote Call demonstrates the use of the Model Context Protocol (MCP) for handling command-based interactions via FastAPI. The project provides a backend powered by FastAPI and FastMCP, enabling remote MCP calls through API endpoints and Server-Sent Events (SSE). It includes thread-safe session management, command handling integration, and an interactive UI for engaging with ping, pong, and count operations. Designed as an educational tool, it showcases practical MCP usage for API-driven workflows.

1 2 MCP

35

EdgeOne Pages MCP

Deploy HTML and full-stack projects to EdgeOne Pages via Model Context Protocol.

EdgeOne Pages MCP is an implementation of the Model Context Protocol (MCP) for deploying HTML content, folders, or full-stack projects to EdgeOne Pages with publicly accessible URLs. It provides both stdio and HTTP streaming MCP server configurations, supporting tools like deploy_html and deploy_folder. The solution integrates with Tencent's EdgeOne Pages Functions and KV storage for edge deployment and fast content access. It features automated public URL generation, robust error handling, and compatibility with both international and China regions.

321 47 MCP

36

io.github.cr7258/elasticsearch-mcp-server

MCP server for seamless interaction with Elasticsearch and OpenSearch.

Implements a Model Context Protocol (MCP) server enabling robust integration with Elasticsearch and OpenSearch clusters. Offers a standardized set of tools for managing indices, documents, clusters, data streams, and aliases, along with configurable authentication and operation restrictions. Supports secure access and flexible configuration via environment variables, ensuring safe and customizable operations for various deployment scenarios.

223 47 MCP

37

MCP Tinybird (Deprecated)

Enables integration of Tinybird analytics with the Model Context Protocol.

MCP Tinybird enabled analytics data ingestion from Tinybird to systems following the Model Context Protocol (MCP). Now deprecated, it guided users to migrate towards the new official Tinybird MCP Server implementation for maintaining up-to-date MCP support.

74 16 MCP

38

beeper-mcp

Automated beeper transactions and token operations on Binance Smart Chain

beeper-mcp provides backend tools for executing beeper transactions and managing tokens on the Binance Smart Chain (BSC). It offers a set of MCP protocol-compatible API endpoints for balance checking, transferring assets, swapping tokens on Pancakeswap, obtaining token prices, and claiming beeper rewards. The service can be run as an API backing LLM tools and integrates with external platforms such as Claude, Windsurf, and Cursor. It supports both BSC mainnet and testnet and includes error handling and transaction status tracking.

3 3 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

Carbon Voice MCP Server

MCP server integration for Carbon Voice's conversational AI and voice messaging platform.

Carbon Voice MCP Server implements the Model Context Protocol (MCP) to integrate AI assistants with Carbon Voice’s API, offering tools for managing voice messages, conversations, users, folders, and workspaces. It supports both local (Stdio) and cloud (HTTP) deployments, prioritizing security and compliance with OAuth 2.1, HTTPS, and other best practices. The server is compatible with clients like Cursor and Claude Desktop, enabling AI-driven workflows across different environments. Key functionalities include message management, AI prompt handling, user and conversation operations, and attachment support.

4 4 MCP

41

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

42

1mcp-app/agent

A unified server that aggregates and manages multiple Model Context Protocol servers.

1MCP Agent provides a single, unified interface that aggregates multiple Model Context Protocol (MCP) servers, enabling seamless integration and management of external tools for AI assistants. It acts as a proxy, managing server configuration, authentication, health monitoring, and dynamic server control with features like asynchronous loading, tag-based filtering, and advanced security options. Compatible with popular AI development environments, it simplifies setup by reducing redundant server instances and resource usage. Users can configure, monitor, and scale model tool integrations across various AI clients through easy CLI commands or Docker deployment.

96 14 MCP

43

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

44

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

45

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

46

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

47

Telegram MCP Server

A bridge connecting AI assistants to the Telegram API via the Model Context Protocol.

Telegram MCP Server facilitates secure and structured interaction between AI assistants and the Telegram API by implementing the Model Context Protocol. It enables AI-powered tools to access, organize, and manage Telegram messages, chats, and user data while maintaining user control and privacy. The server offers capabilities for retrieving messages, managing conversations, sending drafts, and organizing chats, making it a versatile tool for AI integrations with Telegram.

237 26 MCP

48

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

49

iMessage Query MCP Server

Securely query and analyze your iMessage history with LLMs using the Model Context Protocol.

iMessage Query MCP Server is an MCP-compliant server that provides safe access to the macOS iMessage database for Large Language Models (LLMs). Built with the FastMCP framework and imessagedb library, it enables querying, validation, and analysis of iMessage conversations, complete with proper phone number handling and permissions management. The tool integrates seamlessly with MCP clients such as Claude Desktop and CLine for VSCode, allowing for controlled retrieval of chat histories via standardized protocols. Enhanced security features and automated dependency management ensure a smooth and safe user experience.

71 13 MCP

50

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

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