CallCenter.js MCP + CLI - Alternatives & Competitors
An MCP server and CLI tool for automated phone calls via VoIP.
CallCenter.js MCP + CLI provides an MCP server, command-line tool, and TypeScript API that enable AI assistants like Claude to make phone calls on behalf of users using VoIP systems. It bridges OpenAI's Real-Time Voice API with SIP-compatible devices or services, supporting real-time voice interactions through standardized models. The tool allows direct control through MCP clients, CLI, or programmatic interfaces to automate and manage voice calls seamlessly. It supports multiple codecs and is compatible with popular VoIP hardware and services.
Ranked by Relevance
-
1
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 -
2
Offorte MCP Server
Bridge AI agents with Offorte proposal automation via the Model Context Protocol.
Offorte MCP Server enables external AI models to create and send proposals through Offorte by implementing the Model Context Protocol. It facilitates automation workflows between AI agents and Offorte's proposal engine, supporting seamless integration with chat interfaces and autonomous systems. The server provides a suite of tools for managing contacts, proposals, templates, and automation sets, streamlining the proposal creation and delivery process via standardized context handling. Designed for extensibility and real-world automation, it leverages Offorte's public API to empower intelligent business proposals.
4 4 MCP -
3
Speech.sh
Command-line text-to-speech utility with MCP integration using OpenAI's API.
Speech.sh provides robust text-to-speech capabilities from the command line by leveraging OpenAI's API and offers Model Context Protocol (MCP) compatibility for integration with AI assistants. Supporting multiple voice options, adjustable speech speed, and both tts-1 and tts-1-hd models, it ensures seamless audio conversion and playback. Flexible API key management, auto-caching, and reliable retry logic make it suitable for diverse environments. Additional features include security-focused processing, dependency validation, and compatibility with both ffmpeg and mplayer audio players.
5 1 MCP -
4
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 -
5
Remote-MCP
A type-safe, bidirectional system for remote Model Context Protocol communication.
Remote-MCP provides a simple and secure way to enable remote access to and centralized management of model contexts using the Model Context Protocol. It bridges local MCP clients with remote MCP servers, supporting a modular architecture via tRPC over HTTP. The tool allows integration both as a client and a server, catering to real-time remote access needs ahead of the official MCP roadmap.
200 29 MCP -
6
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 -
7
Sonos TypeScript MCP Server
Seamless Sonos control and context integration for AI-driven automation.
Sonos TypeScript MCP Server offers real-time, intelligent control over Sonos audio devices using the Model Context Protocol. It enables AI assistants and coding agents to manage playback, zones, music libraries, alarms, and device groups over local networks via UPnP/SOAP. The server is designed for integration into AI-driven workflows and supports standardized MCP I/O. Real-time event subscriptions and device discovery provide up-to-date context and actionable capabilities for smart home audio environments.
3 1 MCP -
8
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 -
9
Globalping MCP Server
Enable AI models to run network tests globally via natural language.
Globalping MCP Server implements the Model Context Protocol, enabling AI models to interface with a global network measurement platform through natural language. It allows AI clients to perform network diagnostic tests such as ping, traceroute, DNS, MTR, and HTTP from thousands of locations worldwide. The server offers AI-friendly context handling, detailed parameter descriptions, comparative analysis of network performance, and supports secure authentication using OAuth or API tokens.
33 3 MCP -
10
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 -
11
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 -
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
@bldbl/mcp
Official MCP client for integrating AI assistants with Buildable projects.
@bldbl/mcp enables AI assistants like Claude and GPT to directly interact with Buildable projects using the Model Context Protocol (MCP). It provides full project context, smart task management, real-time progress tracking, and facilitates seamless communication between AI and human developers. TypeScript support and CLI tools ensure robust integration, making it ready for platforms like Claude Desktop and Cursor AI. The tool simplifies AI-driven project management and collaboration in software development.
8 7 MCP -
14
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 -
15
IP Geolocation MCP Server
Enables IP-based geolocation for AI workflows via MCP-compliant tooling.
IP Geolocation MCP Server provides a Model Context Protocol (MCP) server that integrates with the ipinfo.io API to fetch detailed IP address information. It allows obtaining location, organization, and network details about users, facilitating context-aware AI applications. The tool can be seamlessly installed or integrated in client environments supporting MCP, with a focus on simplicity and developer-friendliness.
36 13 MCP -
16
Open Data Model Context Protocol
Easily connect open data providers to LLMs using a Model Context Protocol server and CLI.
Open Data Model Context Protocol enables seamless integration of open public datasets into Large Language Model (LLM) applications, starting with support for Claude. Through a CLI tool and server, users can access and query public data providers within their LLM clients. It also offers tools and templates for contributors to publish and distribute new open datasets, making data discoverable and actionable for LLM queries.
140 21 MCP -
17
Creatify MCP Server
MCP server bringing Creatify AI's advanced video generation to every AI assistant.
Creatify MCP Server is a comprehensive Model Context Protocol (MCP) server that integrates Creatify AI's video generation platform with AI assistants, chatbots, and automation tools. It provides advanced capabilities such as natural language video creation prompts, progress tracking, structured logging, and reusable workflows through a standardized MCP interface. Built with TypeScript and leveraging the Creatify API, it exposes a wide range of powerful video generation and editing actions that can be controlled programmatically.
14 3 MCP -
18
Infobip MCP Servers
Build AI agents that connect to Infobip services via the Model Context Protocol.
Infobip MCP Servers enable AI agents to interact with the Infobip platform using the Model Context Protocol (MCP), supporting communication across various channels like SMS, WhatsApp, Viber, and RCS. The project provides production-grade, remote MCP servers with streamable HTTP and SSE transport options, facilitating messaging, 2FA, customer data management, and user account control. Standardized endpoints and authentication options, including API keys and OAuth 2.1, ensure secure and scalable integration. Usage examples and configuration guides are included for popular agent frameworks.
20 2 MCP -
19
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 -
20
AutoMobile
Powerful tools for mobile automation, test authoring, and device management via MCP.
AutoMobile provides a comprehensive set of tools for mobile automation, focusing on UI testing and development workflow automation. It operates as an MCP Server, enabling a robust interaction loop for model-driven actions and observations. The solution supports Android platforms with features like automated test authoring, multi-device management, and seamless CI test execution. AutoMobile also offers source mapping and deep view hierarchy analysis to enhance code rendering accuracy.
63 8 MCP -
21
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 -
22
App Store Connect MCP Server
Conversational AI server for App Store Connect management via MCP
App Store Connect MCP Server is a Model Context Protocol (MCP) compliant server that enables seamless interaction with Apple's App Store Connect API. It empowers users to manage apps, beta testers, devices, bundle IDs, app metadata, and capabilities through natural language. The server supports secure authentication, real-time analytics, and localization management, streamlining development, DevOps, and product workflows.
139 23 MCP -
23
JSR MCP
A Model Context Protocol server enabling full JSR registry access and LLM integration.
JSR MCP provides a Model Context Protocol (MCP) server designed for robust interaction with the JSR (JavaScript Registry) via Deno. It enables large language models (LLMs) to search, retrieve, and manage JavaScript packages, scopes, users, and registry metadata. The server exposes 40 comprehensive tools for operations such as searching packages, managing versions, handling scopes and permissions, and accessing authentication-secured functionality. Ideal for integrating JSR operations into automated systems or AI model workflows.
0 1 MCP -
24
OpenZeppelin Contracts Wizard
Interactive contract generator and Model Context Protocol server for smart contracts.
OpenZeppelin Contracts Wizard enables users to interactively build smart contracts by combining components from OpenZeppelin Contracts. It features a web application, TypeScript API, embeddable widget, and offers MCP (Model Context Protocol) Servers for AI agents to generate contracts with customizable features. It supports Solidity, Cairo, Stellar, and Stylus languages and allows for both local and hosted MCP server usage. The platform is open source and welcomes community contributions.
288 183 MCP -
25
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 -
26
ntfy-me-mcp
Send real-time notifications from AI assistants to your devices using ntfy and the Model Context Protocol.
ntfy-me-mcp implements a streamlined Model Context Protocol (MCP) server, enabling AI assistants to send real-time notifications to user devices through the ntfy service. It supports both public and self-hosted ntfy instances with token authentication, allowing integration into various AI workflows. The server automatically detects URLs for interactive actions and applies smart markdown formatting to craft rich notifications suitable for important events and task updates.
48 11 MCP -
27
iOS Simulator MCP Server
Programmatic control of iOS simulators via the Model Context Protocol
iOS Simulator MCP Server implements the Model Context Protocol (MCP) to provide a standardized interface for managing iOS simulators. It enables users to list simulators, boot or shut them down, install application bundles, and launch apps by bundle ID. By conforming to the MCP specification, it allows seamless integration with tools that require structured simulator management.
46 9 MCP -
28
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 -
29
simctl-mcp
A Model Context Protocol server for automating iOS Simulator control.
simctl-mcp implements a Model Context Protocol (MCP) server that allows for remote and automated management of iOS Simulator devices and applications. It supports both STDIO and HTTP server modes for flexible integration into development workflows. The tool provides functionality for device management, app lifecycle operations, permission handling, system features, certificate management, and media content manipulation. It is designed to facilitate AI-driven or prompt-based interactions with the iOS Simulator environment.
13 4 MCP -
30
ms-365-mcp-server
A Model Context Protocol server for seamless Microsoft 365 and Office Graph API integration.
ms-365-mcp-server is a Model Context Protocol (MCP) server that enables secure and efficient access to Microsoft 365 and Office services via the Graph API. It supports authentication through Microsoft Authentication Library (MSAL), granular tool filtering, and provides output in both JSON and token-efficient TOON formats. The server offers comprehensive integration with personal and organizational Microsoft 365 tools including Outlook, Calendar, OneDrive, Excel, Teams, Planner, and SharePoint. It supports both read-only mode for safe operations and advanced organization mode for enhanced team and enterprise scenarios.
333 114 MCP -
31
MCP Server for iOS Simulator
Enables LLM-powered natural language control of iOS simulators.
MCP Server for iOS Simulator provides a protocol-compliant bridge between large language models and iOS simulators, allowing seamless control via natural language commands. It offers comprehensive simulator management, application lifecycle handling, advanced UI interaction, and extensive debugging capabilities. Designed for macOS, the server integrates directly with existing MCP ecosystems, supporting development, testing, and automation workflows.
275 23 MCP -
32
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 -
33
Kokoro Text to Speech MCP Server
Text-to-speech server with optional S3 storage, built for Model Context Protocol environments.
Kokoro Text to Speech MCP Server provides a text-to-speech API that generates MP3 audio files from text input, with support for multiple voices and speech parameters. It is designed for compatibility with Model Context Protocol (MCP), allowing for easy integration and configuration in MCP-based workflows. Generated audio files can be stored locally or uploaded to AWS S3, and the server includes client utilities for interaction, as well as configurable environment options for deployment. The solution leverages Hugging Face Kokoro-TTS models and supports both direct use and cloud-friendly workflows.
67 14 MCP -
34
Aiwen MCP Server for IP Geolocation
High-precision IP geolocation and risk analysis via MCP-compatible API server.
Provides an MCP (Model Context Protocol) server interface for Aiwen Technology’s high-precision IP location services, offering a range of geolocation, network, risk, and identity APIs compatible with AI context standards. Supports detailed IP information retrieval, including geolocation to city, district, or street level, network characteristics, industry classification, risk profiling, and user authenticity analysis. Enables seamless AI model integration and context-aware processing by following the MCP protocol.
4 3 MCP -
35
iOS Simulator MCP Server
A Model Context Protocol server for controlling and automating iOS simulators.
Provides a Model Context Protocol (MCP) server that enables interactions with iOS simulators. Allows users to obtain simulator information, automate UI interactions such as tapping, typing, swiping, and retrieve accessibility data. Designed for robust integration with automation, testing, and developer workflows via standardized MCP commands.
1,231 57 MCP -
36
ACP to MCP Adapter
Bridge ACP Agents with MCP Applications Seamlessly
ACP to MCP Adapter is a lightweight standalone server that connects Agent Communication Protocol (ACP) agents to Model Context Protocol (MCP) applications. It enables MCP applications, such as Claude Desktop, to discover and interact with ACP agents as resources by exposing ACP agent runs as MCP tools. The adapter facilitates interoperability with minimal configuration, though it currently treats ACP agents as tools rather than peers and supports only basic content translation.
30 5 MCP -
37
Time Node MCP Server
Timezone-aware date and time operations for AI assistants and applications.
Time Node MCP Server is an implementation of the Model Context Protocol (MCP) designed to provide accurate, timezone-aware date and time operations. It exposes tools for retrieving and converting times across IANA timezones, detecting system timezone, and offering outputs in multiple formats. The server ensures correct handling of Daylight Saving Time transitions and supports integration with AI assistants like Claude Desktop.
0 4 MCP -
38
MCP Server Chart
A Model Context Protocol server for generating and analyzing charts using AntV.
MCP Server Chart enables chart generation and data analysis through the Model Context Protocol. Built with TypeScript and leveraging AntV, it offers over 25 types of charts accessible via MCP tools. The server supports seamless integration with visualization platforms like Dify and provides features such as private deployment, configurable toolsets, and CLI options.
3,141 299 MCP -
39
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 -
40
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 -
41
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 -
42
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 -
43
OpenMCP
A standard and registry for converting web APIs into MCP servers.
OpenMCP defines a standard for converting various web APIs into servers compatible with the Model Context Protocol (MCP), enabling efficient, token-aware communication with client LLMs. It also provides an open-source registry of compliant servers, allowing clients to access a wide array of external services. The platform supports integration with local and remote hosting environments and offers tools for configuring supported clients, such as Claude desktop and Cursor. Comprehensive guidance is offered for adapting different API formats including REST, gRPC, GraphQL, and more into MCP endpoints.
252 27 MCP -
44
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 -
45
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 -
46
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 -
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
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 -
49
mcp-server-js
Enable secure, AI-driven process automation and code execution on YepCode via Model Context Protocol.
YepCode MCP Server acts as a Model Context Protocol (MCP) server that facilitates seamless communication between AI platforms and YepCode’s workflow automation infrastructure. It allows AI assistants and clients to execute code, manage environment variables, and interact with storage through standardized tools. The server can expose YepCode processes directly as MCP tools and supports both hosted and local installations via NPX or Docker. Enterprise-grade security and real-time interaction make it suitable for integrating advanced automation into AI-powered environments.
31 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
Join Our Newsletter
Stay updated with the latest AI tools, news, and offers by subscribing to our weekly newsletter.
Didn't find tool you were looking for?