The Model Context Protocol (MCP) is quickly becoming a foundational standard for connecting AI applications to the wider digital world.
Here, we have covered important MCP statistics to learn more about the server and how it works.
But first, let’s understand the basics.
What is MCP and How it Works?
MCP is an open-source standard that gives AI applications a standardized way to access a vast array of external resources.
This includes data sources, tools (like search engines), and automated workflows.
By using MCP, AI agents can extend their capabilities beyond their core models to perform complex tasks and deliver a richer user experience.
It creates a standardized communication layer that allows AI agents to interact with a “society of tools.” While this enables powerful cross-provider integration, it also introduces challenges.
MCP Statistics: Key Insights in 2025
The Model Context Protocol has seen rapid growth since January 2025. Here are some key statistics that highlight its impact.
MCP Usage Statistics
1. There are over 5,000 MCP servers listed in public registries.
2. The ecosystem sees an estimated 6.8 to 7 million total monthly downloads for MCP servers.
3. Reportedly 1.6 million server downloads in a single 7-day period, extrapolating to roughly 7 million monthly downloads.
4. 7,109 MCP servers publicly registered as of April 8, 2025.
5. 4,258 Developer Tools servers and 1,915 Research & Data servers within the MCP ecosystem.
MCP Security & Other Issues Statistics
6. Over 1,470 MCP servers identified practical issues like tool name collisions, with the common tool name “search” appearing across 32 different servers.
7. The survey also found issues with some servers returning excessively long responses that can overwhelm AI context windows.
8. The secret leak incidence rate for MCP repositories was 5.2%, which is slightly higher than the 4.6% average for all public repositories on GitHub.
The Microsoft Research blog notes, this decentralized ecosystem can lead to “tool-space interference.” This happens when agents and tools, while individually effective, fail to work together seamlessly, leading to longer action sequences, higher costs, or task failures.
Adopters of the MCP Server
9. Zapier boasts a catalog of 30,000 tools across 7,000 services
10. Composio provides over 100 managed MCP servers.
11. Hugging Face is now serving many Spaces apps over MCP, and Shopify has enabled MCP for millions of storefronts.
12. Some individual MCP servers have over 250 tools, which can present a challenge for models to process efficiently.
Here is a list of confirmed MCP Server adopters.
| Category | Product / Tool Name | Confirmation/Context |
| Development & Code | GitHub | Official MCP server launched to connect LLMs to codebases, manage issues, and automate Pull Request (PR) review processes. |
| Project Management | Jira | Atlassian launched its Remote MCP Server to securely connect Jira and Confluence data to external AI tools. |
| Project Management | Asana | Official or beta MCP server integration offered to allow AI assistants to manage tasks, projects, and goals via natural language. |
| Productivity | Notion | Official or strong first-party support is available to integrate with AI models for document, knowledge base, and project context. |
| Collaboration | Slack | Widely available official and community MCP servers exist to allow AI agents to send messages, summarize threads, and manage channels. |
| Design | Figma | MCP servers (e.g., Dev Mode server) are used to streamline the design-to-code workflow by extracting structured design data for AI code generation. |
| Search & AI Tools | Perplexity | Perplexity supports Local and Remote MCPs, allowing its search-augmented AI capabilities to be integrated into MCP clients. |
| Finance & Commerce | Stripe | Dedicated MCP servers or SDK-based integrations exist to allow AI agents to query payment data and manage financial workflows. |
In conclusion, the statistics paint a clear picture of the Model Context Protocol as a rapidly expanding and transformative force in the AI landscape. From its swift adoption by major players like Shopify and Hugging Face to its impressive monthly download numbers, MCP is already fulfilling its promise of connecting AI agents to a rich, diverse ecosystem of external tools.
Loved AI-related statistics? Here are some more for you:
Sources: Model Context Protocol, Google Cloud, GitHub, Pulse
