What does mcp-top do?

Mcp-top focuses on profiling and monitoring the context footprint and usage of local MCP servers. It is catalogued under LLM eval & observability on PulseGate.

mcp-top is an open-source project built for AI infrastructure engineers and developers.

Yes — mcp-top is open source under the MIT license and free to use.

What platforms does mcp-top run on?

mcp-top runs on the command line.

Is mcp-top still maintained?

The GitHub repository shows 36 commits in the last 90 days.

What projects are similar to mcp-top?

Similar projects tracked by PulseGate include Red Teamer Intuition Quotient, Buildermark, and agentharness-verifier.

Who develops mcp-top?

mcp-top is developed by mohamedzhioua.

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mcp-top

Name: mcp-top
Author: mohamedzhioua

PyPIInfrastructure

mcp-top is an open-source CLI tool that profiles the context footprint and usage of local Model Context Protocol (MCP) servers. It helps AI infrastructure engineers monitor and optimize server resource usage.

Open SourceMITCLI

Visit PyPI

Overview

4 features

In the LLM eval & observability space, mcp-top takes a focused approach. It focuses on profiling and monitoring the context footprint and usage of local MCP servers. mcp-top is an open-source project aimed at AI infrastructure engineers and developers. The project is open source (MIT). It runs on the command line.

It is developed by mohamedzhioua, and it first shipped in 2026. Development happens publicly on GitHub with 36 commits in the last 90 days. Key capabilities include context profiling, MCP server monitoring, and usage statistics. It exposes integrations via an MCP server.

Summary written by a language model from the project’s public pages.

Context profiling
MCP server monitoring
Usage statistics
CLI interface

Built with & integrations

Connectors

MCP

Runs on

CLI

Trust & compliance

License

MIT

Verified signals

HTTPSOpen SourceFree tierGitHubActive maintenance

Indexing history

What PulseGate has recorded for this listing

Indexed18 Jul · 10:18 UTC
mcp-top verified against its public source
Source: PulseGate · Open

Frequently asked questions about mcp-top

What does mcp-top do?: Mcp-top focuses on profiling and monitoring the context footprint and usage of local MCP servers. It is catalogued under LLM eval & observability on PulseGate.
Who is mcp-top for?: mcp-top is an open-source project built for AI infrastructure engineers and developers.
Is mcp-top free?: Yes — mcp-top is open source under the MIT license and free to use.
What platforms does mcp-top run on?: mcp-top runs on the command line.
Is mcp-top still maintained?: The GitHub repository shows 36 commits in the last 90 days.
What projects are similar to mcp-top?: Similar projects tracked by PulseGate include Red Teamer Intuition Quotient, Buildermark, and agentharness-verifier.Red Teamer Intuition Quotient Buildermark agentharness-verifier
Who develops mcp-top?: mcp-top is developed by mohamedzhioua.
How long has mcp-top been around?: mcp-top first shipped in 2026.

At a glance

Platforms: CLI
Languages: English
Open source: Yes (GitHub)
License: MIT
First seen: 18 Jul 2026
Built for: AI infrastructure engineers and developers
Model: Open source
Solves: Profiling and monitoring the context footprint and usage of local MCP servers.

Registered as

GitHub: mohamedzhioua/mcp-top
PyPI: mcp-top

Developer

mohamedzhioua

Solo developer

GitHub

Open source

View on GitHub

Stars: 0
Forks: 0
Open issues: 0
Last commit: 18 Jul 2026
Commits 90d: 36
Contributors: 1
Authorship: Solo
Default branch: main
Latest release: v0.4.0 · 18 Jul 2026

Index record

Indexed: 18 Jul 2026
Lifecycle: Alive
First seen: Jul 2026
Last seen: 18 Jul 2026

Identity audit (12)

Slug: mcp-top-pypi-org
Lifecycle last checked: 8 Aug 2026
Verification state: Indexed for public listing
Listing state: Listed: yes
Index status: Included in index
Latest evidence snapshot: 18 Jul 2026
Timeline basis: Indexed-at chronology (no inferred launch/funding milestones).
Name from: Written by a language model from the project's public pages.
Category from: Assigned by a language model.
Summary from: Written by a language model from public pages.
Languages from: Detected by a language model from page content.
Canonical URL: https://pypi.org/project/mcp-top

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