MCP Statistics
Google Trends Growth
Github Star Growth
Adoption And Ecosystem Stats
| Metric | Value | Context | Source |
|---|---|---|---|
| 🧩 Prebuilt MCP connectors by Anthropic | ~320 | Available on Anthropic's GitHub | [1] |
| 🌐 Community-contributed MCP servers | 4,774 (MCP.so), 3,300+ (Glama.ai) | Community-built registries | [2],[3] |
| 🧑💻 Programming language SDKs | 5+ (Python, TS, Java, Kotlin, C#) | Official SDKs released | [4] |
| 🧪 MCP Clients | Claude, ChatGPT, Replit, Cursor .... | MCP used across AI tools | [5] |
Performance Metrics
| Metric | Value | Context | Source |
|---|---|---|---|
| ⚡️ Avg. tool call latency (Block) | < 200 ms | For ~12,000 tool invocations/day | [5] |
| 🚀 MCP server throughput (Block) | 12,000+/day | Sustained in real deployments | [5] |
Sources
[1] Model Context Ecosystem Primer – https://github.com/modelcontextprotocol/servers
[2] OpenAI Agent SDK MCP Support – https://glama.ai/mcp/servers
[3] MCP Ecosystem Deep Dive – https://www.mcp.so
[4] MCP SDK Repos – https://github.com/modelcontextprotocol
[5] MCP Performance + Use Cases – https://www.linkedin.com/pulse/comprehensive-analysis-model-context-protocol-anshuman-jha-8u2nc/