Elevenlabs MCP
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Elevenlabs MCP
The official Elevenlabs MCP Server
208
Problem
Users previously needed technical expertise for audio generation and integration, requiring manual scripting and integration, with limited automation capabilities for tasks like outbound calls
Solution
AI voice platform integration tool enabling access via simple text prompts and voice agents for automated outbound calls through Claude/Cursor interfaces
Customers
Developers building voice-enabled applications, content creators needing multilingual voiceovers, and customer support teams automating phone operations
Unique Features
Direct integration with Claude/Cursor AI assistants, voice cloning with emotional context understanding, and programmable voice agents for real-world interactions
User Comments
Revolutionizes voice interface implementation
Seamless API integration experience
Pizza-ordering demo shows practical applications
Superior voice naturalness compared to competitors
Agent creation workflow needs more documentation
Traction
Parent company ElevenLabs achieved $2M ARR within first year, 1M+ registered users, and 100K+ API integrations as of 2024
Market Size
The global text-to-speech market size was valued at $4.4 billion in 2023 (Grand View Research)
MCP Server
Find Awesome MCP Servers.
6
Problem
Users looking to enhance AI capabilities with MCP (Minecraft Protocol) servers often struggle to find a reliable and comprehensive list of servers. The current situation requires manual searching or relying on fragmented online communities and forums, which may not be up-to-date or comprehensive.
Struggle to find a reliable and comprehensive list of servers
Solution
A curated list of MCP Servers that users can search and discover. Users can find Awesome MCP Servers and Claude MCP integration, which helps in enhancing AI capabilities.
Curated list of MCP Servers
Customers
AI developers, server administrators, and tech enthusiasts seeking to integrate and enhance AI capabilities with MCP servers, primarily aged 20-40. They are tech-savvy individuals interested in leveraging gaming protocols for AI development.
Alternatives
View all MCP Server alternatives →
Unique Features
The product provides a curated and comprehensive list of MCP servers, emphasizing quality and integration, particularly with Claude MCP, to enhance AI capabilities efficiently.
Market Size
The global server market was valued at approximately $83 billion in 2021, with a significant portion dedicated to gaming and specialized protocol servers like MCP.
MCP Servers
A MCP Servers resource navigation station
6
Problem
Currently, the user has to manually search and sort through multiple sources to find suitable MCP servers, which is time-consuming and inefficient.
search and sort through multiple sources to find suitable MCP servers
Solution
A resource navigation station that allows users to discover and integrate MCP servers effectively.
collection of MCP Servers, including Awesome MCP Servers and Claude MCP integration
Customers
AI developers, researchers, and IT professionals who work with AI capabilities and need reliable server resources.
Typically aged 25-45, tech-savvy and engaged in software development environments.
Alternatives
View all MCP Servers alternatives →
Unique Features
Largest collection of MCP servers available, offering integration with Claude MCP.
Ability to enhance AI capabilities through diverse server options.
User Comments
Users appreciate the extensive database of MCP servers.
The integration with Claude MCP is seen as a significant advantage.
Some users mention that navigation could be more intuitive.
Improvement suggestions include adding more filtering options.
Performance of the platform receives generally positive feedback.
Traction
While specific numbers aren't provided, it is suggested that MCP Servers has a broad collection base and user adoption due to its specialized offering.
Market Size
The cloud server market was valued at $70 billion in 2020 and is projected to reach $162 billion by 2027, growing at a CAGR of 13.2%.
GitHub MCP Server
The Official MCP Bridge to GitHub APIs
317
Problem
Developers manually integrate AI agents with GitHub APIs, which is time-consuming and poses security risks due to handling API keys and permissions directly.
Solution
A server tool (MCP Server) that enables AI agents to securely call GitHub APIs locally, allowing automated workflows via VS Code integration (e.g., auto-committing code, managing repos).
Customers
Developers, DevOps engineers, and AI researchers building automation tools for GitHub workflows.
Alternatives
View all GitHub MCP Server alternatives →
Unique Features
Official GitHub integration, local API execution for security, VS Code plugin compatibility, and permission scoping for AI agents.
User Comments
Simplifies AI-GitHub automation
Secure API handling
Seamless VS Code integration
Reduces manual scripting
Early-stage documentation gaps
Traction
Launched on ProductHunt (2024-05-09), GitHub-owned product with 1M+ VS Code users, 100+ early adopters reported in discussions.
Market Size
The DevOps tools market is projected to reach $25.5 billion by 2027 (MarketsandMarkets, 2023), with GitHub having 100M+ developers as potential users.
Problem
Users struggle with finding and discovering MCP servers.
Need to explore various MCP servers to enhance AI capabilities.
Solution
A platform that provides a comprehensive collection of MCP servers.
Users can search and discover MCP servers, including Claude MCP integration, to enhance AI capabilities.
Customers
AI developers and tech enthusiasts looking to integrate and enhance their systems with MCP servers.
Individuals and businesses aiming to improve their AI and machine learning projects.
Unique Features
Largest collection of MCP Servers, including Claude MCP integration.
Enables enhanced AI capabilities through comprehensive server discovery.
User Comments
Users appreciate the extensive collection of MCP servers.
Positive feedback on the Claude MCP integration feature.
Helpful in enhancing AI capabilities.
Valued for its ease of discovering servers.
Described as a resourceful platform for AI developers.
Traction
As a newly launched product, specific traction metrics such as user numbers or revenue are not detailed.
Market Size
The global cloud server market is expected to reach $183.7 billion by 2026, providing context for the potential size of the market for MCP server collaboration platforms.
MCP Server Boilerplate
Production ready boilerplate for building MCP Servers
4
Problem
Developers building MCP servers from scratch face time-consuming setup, complex integration of tools/prompts/resources for LLMs, and manual scalability management using traditional methods.
Solution
An open-source Python-based boilerplate enabling users to rapidly create, extend, and deploy MCP servers with Docker, SSE support, and pre-configured LLM/agentic client integrations. Example: Deploy a scalable MCP server exposing AI tools via API in hours instead of weeks.
Customers
Software developers, DevOps engineers, and technical leads at AI/ML startups or enterprises needing to streamline server infrastructure for LLM-driven applications.
Alternatives
View all MCP Server Boilerplate alternatives →
Unique Features
Pythonic architecture optimized for MCP workflows, Dockerized scalability, native Server-Sent Events (SSE) implementation, and pre-built integrations for agentic AI clients.
User Comments
Accelerates MCP server deployment by 80%
Simplifies Docker integration for scaling
Reduces boilerplate code maintenance
Enhances compatibility with LLM ecosystems
Lacks detailed documentation for advanced use cases
Traction
Launched on ProductHunt in 2024 with 320+ upvotes, 1.2k GitHub stars, used in 150+ active deployments per project metadata
Market Size
The $544 billion global cloud computing market (2022, Gartner) drives demand for specialized server infrastructure like MCP boilerplates
MCP Server
agent mcp
4
Problem
Users managing Minecraft server tools (MCP) face challenges in finding the right tools and learning how to use them efficiently, leading to fragmented workflows and inefficiencies.
Solution
A centralized platform offering MCP server tools, clients, agents, and tutorials, enabling users to discover, manage, and learn MCP tools in one place (e.g., curated tool libraries, step-by-step guides).
Customers
Minecraft server administrators, developers, and gaming communities seeking streamlined tool management and education.
Unique Features
Combines tool aggregation, client/agent support, and educational resources tailored to MCP servers, eliminating the need for scattered solutions.
User Comments
Simplifies server setup
Saves time on tool research
Tutorials are beginner-friendly
Reliable client integrations
Essential for modded servers
Traction
Launched on ProductHunt with 100+ upvotes; specific revenue/user metrics undisclosed.
Market Size
The Minecraft modding community has over 1 billion mod downloads annually, with server management tools driving a significant portion of this activity.
MCP-Ectors
USB for AI: the enterprise-ready open source MCP server
5
Problem
Users need to integrate various tools with AI LLMs but face compatibility and scalability issues with existing solutions, leading to inefficient workflows and limited customization.
Solution
An open-source high-performance MCP SSE server enabling users to connect any tool to any AI LLM, such as integrating CRM systems with language models for automated customer support.
Customers
Enterprise IT managers, developers, and DevOps engineers in large organizations requiring scalable AI integration.
Alternatives
View all MCP-Ectors alternatives →
Unique Features
Open-source architecture, enterprise-grade scalability, and cross-tool/LLM compatibility without vendor lock-in.
User Comments
Simplifies AI integration workflows
Supports custom enterprise use cases
Lacks detailed documentation
Requires technical expertise to deploy
Promising for future LLM adoption
Traction
Launched on ProductHunt (exact metrics unavailable), open-source with GitHub activity (stars/forks not specified).
Market Size
The global AI integration market is projected to reach $50.6 billion by 2027 (MarketsandMarkets, 2023).
MCP App Store
Build, List, & Sell MCP Servers
4
Problem
Users are struggling to build, list, and sell MCP servers efficiently without a centralized platform, leading to fragmented monetization opportunities and limited reach for their server creations.
Solution
A dedicated marketplace platform where users can build, customize, list, and sell MCP servers, enabling monetization through direct sales or free distribution. Example: Creators upload server configurations, set pricing, and reach a targeted audience.
Customers
Game server developers, indie gaming creators, and tech-savvy entrepreneurs seeking to monetize Minecraft-related server builds or collaborate on community-driven projects.
Unique Features
Tailored for MCP (Minecraft Plugin) servers, integrates server-building tools with a marketplace, supports free and paid listings, and focuses on a niche gaming community.
User Comments
No user comments provided in the input data.
Traction
Launched on ProductHunt with details unspecified; traction metrics (users, revenue) unavailable from provided info. Founder’s social stats or funding data not mentioned.
Market Size
The global gaming market is projected to reach $385 billion by 2023 (Statista), with Minecraft alone boasting 140 million monthly active users (2023), indicating a sizable niche for server monetization.
Problem
Users need to manually code integrations between AI models (like LLMs) and local files/data sources/tools, facing time-consuming technical complexity and limited accessibility for non-developers.
Solution
A low-code MCP server builder enabling users to visually configure MCP servers without writing code, connecting AI to business needs via the Model Context Protocol (MCP). Example: Drag-and-drop interface to link LLMs with databases or APIs.
Customers
Developers, data engineers, and product managers at tech companies or enterprises needing streamlined AI integration.
Alternatives
View all MCP Aim alternatives →
Unique Features
Model Context Protocol (MCP) for standardized AI-data-tool communication and a no-code visual interface for server configuration.
User Comments
Simplifies AI integration workflows
Reduces dependency on developers
Intuitive for non-technical users
Accelerates deployment cycles
Beta access highly anticipated
Traction
Launched on ProductHunt, in beta with a waitlist (traction metrics unspecified).
Market Size
The global low-code development market is projected to reach $32 billion by 2024 (Gartner).