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arnavranjan005/mcp-telemetry

by Various

Socket.IO-style telemetry for MCP servers — live progress from any tool call, watched by any MCP client.

MCP

arnavranjan005/mcp-telemetry

Added 4 July 2026

#ai-agents #claude-code #cursor #mcp #model-context-protocol #monitoring #nodejs #observability

Overview

Provides Socket.IO-style telemetry for MCP servers, enabling live progress updates from any tool call that can be observed by any MCP client. Built in TypeScript, it streams real-time events to clients for monitoring and debugging.

Best for

Best for
Developers building MCP servers who need live progress feedback for tool calls

Use cases

  • Monitor live progress of long-running MCP tool calls
  • Debug MCP server behavior with real-time event streams
  • Build dashboards or UIs that display MCP tool execution status

How to use

Install

npm install -g mcp-telemetry-server

Tools exposed

  • mcp-telemetry-server

Tested with

Claude Code, Cursor

Example client config

{\n  "mcpServers": {\n    "deploy": { "command": "npx", "args": ["-y", "deploy-mcp"] },\n    "telemetry": { "command": "npx", "args": ["-y", "mcp-telemetry-server"] }\n  }\n}

Notes

Provides Socket.IO-style telemetry for MCP servers, enabling live progress updates from any tool call that can be observed by any MCP client. Built in TypeScript, it streams real-time events to clients for monitoring and debugging.

1 stars on GitHub. Last updated 2026-07-02. Licensed MIT.

Use cases

  • Monitor live progress of long-running MCP tool calls
  • Debug MCP server behavior with real-time event streams
  • Build dashboards or UIs that display MCP tool execution status

Pros

  • Real-time telemetry with minimal overhead
  • Works with any MCP client that supports event streaming
  • Simple integration into existing MCP servers

Cons

  • Very early stage project with only 1 star on GitHub
  • Limited documentation and community support
  • Requires MCP server and client to both support the telemetry protocol

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Real-time telemetry with minimal overhead
  • Works with any MCP client that supports event streaming
  • Simple integration into existing MCP servers

Cons

  • Very early stage project with only 1 star on GitHub
  • Limited documentation and community support
  • Requires MCP server and client to both support the telemetry protocol
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