Monocle MCP server

Monocle is a community-driven OSS framework for tracing GenAI app code governed as a Linux Foundation AI & Data project that helps developers and platform engineers building or managing GenAI apps monitor these in prod by making it easy to instrument their code to capture traces that are compliant with open-source cloud-native observability ecosystem.

What is Monocle MCP server

The MCP server provided by monocle includes curated prompts and tools that help you enable Monocle tracing in your application and analyze the traces generated by Monocle.

Use Monocle MCP

First install monocle-apptrace: pip install monocle-mcp

Open bash and run the following command to run the monocle mcp server with stdio: monocle_apptrace

If you are using VS Code you can add following entry to your .vscode/mcp.json

"monocle-mcp-server": {
      "type": "stdio",
      "command": "uvx",
      "args": [
         "monocle_apptrace"
      ],
      "env": {}
   }

Metadata

Release files for monocle-mcp 0.8.15

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for monocle-mcp 0.8.15
File	Size	Uploaded
monocle_mcp-0.8.15.tar.gz	7.5 kB	Sep 11, 2026	Details

Built distribution (wheel)

Table of built distributions (wheels) for monocle-mcp 0.8.15
File	Interpreter	ABI	Platform	Reset
monocle_mcp-0.8.15-py3-none-any.whl 7.7 kB Sep 11, 2026	Python 3	none	any	Details

Total release size: 15.2 kB

Release files / monocle_mcp-0.8.15.tar.gz

Download URL	monocle_mcp-0.8.15.tar.gz
Size	7.5 kB
Tags	Source
SHA-256 checksum How to use checksums	`1bb4694cad9280ee4f6e2297474271e5bd6627324e817e6244cb22916b096e44`
BLAKE2b-256 checksum How to use checksums	`195ed15c6ff2d0d8faa0d8fbc7859b0d43f9ad8ebbbf09137a33de38e5b40889`
Upload date	Sep 11, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/monocle2ai/monocle
Publishing commit: github.com/monocle2ai/monocle/tree/648d8a9efe1de22a85e77be15f413649e6d6925a

Workflow

Publishing configuration: github.com/monocle2ai/monocle/blob/648d8a9efe1de22a85e77be15f413649e6d6925a/.github/workflows/release.yml
Publishing logs: github.com/monocle2ai/monocle/actions/runs/34637286482/attempts/1

Artifact

Subject: monocle_mcp-0.8.15.tar.gz
SHA-256 checksum: 1bb4694cad9280ee4f6e2297474271e5bd6627324e817e6244cb22916b096e44 Verifying attestations

Release files / monocle_mcp-0.8.15-py3-none-any.whl

Download URL	monocle_mcp-0.8.15-py3-none-any.whl
Size	7.7 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`14a058e67042ff12e5c87f33541aa92bd93a6314e2631fdc51aebded080c8e72`
BLAKE2b-256 checksum How to use checksums	`ad0f3f8ed762a50309f17229fe24b0bc601482cc75d71ad2708cb20a9ace27e4`
Upload date	Sep 11, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/monocle2ai/monocle
Publishing commit: github.com/monocle2ai/monocle/tree/648d8a9efe1de22a85e77be15f413649e6d6925a

Workflow

Publishing configuration: github.com/monocle2ai/monocle/blob/648d8a9efe1de22a85e77be15f413649e6d6925a/.github/workflows/release.yml
Publishing logs: github.com/monocle2ai/monocle/actions/runs/34637286482/attempts/1

Artifact

Subject: monocle_mcp-0.8.15-py3-none-any.whl
SHA-256 checksum: 14a058e67042ff12e5c87f33541aa92bd93a6314e2631fdc51aebded080c8e72 Verifying attestations