GenPark Tool Call Latency Profiler Metrics
LocalAbout GenPark Tool Call Latency Profiler Metrics
A Python MCP server and library for collecting tool-call latency telemetry, including P50, P90, P95, and P99 metrics. It is intended for MCP clients and agent workflows that need latency profiling.
Key features
- 01MCP tool-call latency profiling
- 02P50/P90/P95/P99 metrics
- 03Python standard-library runtime
- 04Strict schema conformance
Use cases
- 01Measure latency across MCP tool calls
- 02Inspect latency percentiles in agent workflows
MCP support
Runs as an MCP server and connects with MCP clients. It also offers a Python library interface.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEGenPark Tool Call Latency Profiler Metrics
High-resolution MCP tool call latency profiler and P50/P90/P95/P99 telemetry metrics collector.
Part of the GenPark AI Agent Skills Ecosystem.
🌟 Key Features
- 100% Python Standard Library: Zero third-party runtime dependencies.
- MCP Native: Plugs directly into Claude Desktop, Cursor, LobeChat, and autonomous agent DAGs.
- Production Resilience: Strict schema conformance, zero data loss, enterprise hardened.
🚀 Installation & Usage
Run as an MCP server:
python mcp_server.py
Use directly as a library:
from client import *
See example_usage.py for comprehensive integration demonstrations.
📄 License
MIT License. Maintained by GenPark AI.
Comments
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