MCP server for logging Vise Coding sessions.
Project description
Vise Logger
Vise Logger is a local MCP server that captures, rates, and archives Vise Coding sessions from various AI coding tools (tested with Cursor, GitHub Copilot, Cline, Roo, Junie, Codex, Kiro), storing them at viselo.gr for reference, comparisons, and searchability. Vise Logger uses a general approach for finding the log files, so that it ideally works out of the box for any AI coding tool / IDE.
As Sean Grove (OpenAI) and Dexter Horthy (HumanLayer) say: The source spec (i.e. coding sessions) is the most valuable artifact.
Just like you used to store the source code, not binaries, in GitHub, you should now store your coding sessions as main source of truth, and not throw them away upon ending the coding session. Unlike Spec Driven Development (e.g. Spec Kit, Vise Logger honors your specs without any restrictions like demanding a specific process).
On viselo.gr, you have
- an overview of your sessions
- a backup, as you can download each session as zip, containing the original format
- can share sessions with others
- get insights and advise from your sessions and of shared sessions.
Features planned for the future:
- pseudonymization
- further advise,
- search
- statistics (see https://fb-swt.gi.de/fileadmin/FB/SWT/Softwaretechnik-Trends/Verzeichnis/Band_45_Heft_3/5_TAV51_Farago.pdf).
Installation and Setup
The sections below describe various ways to install the MCP server into your AI coding tool / IDE. But it is best if you follow the MCP server installation routine that your AI coding tool suggests.
Installation of MCP Server via PyPI
The easiest installation is using uv and fetching the latest version from PyPI (https://pypi.org/project/vise-logger/).
Installation via MCP JSON Configuration
Installed (soon with pseudonymization since PSEUDONYMIZATION_ENCRYPTION_KEY is set) through PyPI by adding the following to the MCP config file (tested for Cline, Roo, Junie, Cursor, Kiro):
"vise-logger": {
"disabled": false,
"timeout": 60,
"type": "stdio",
"command": "uv",
"args": ["tool", "run", "vise-logger"],
"env": {
"PSEUDONYMIZATION_ENCRYPTION_KEY": "key via openssl rand -base64 32",
"VISE_LOG_API_KEY": "your_API_key_from_viselo.gr",
"OTEL_RESOURCE_ATTRIBUTES": "service.name=vise-logger,service.namespace=public-logs,deployment.environment=production",
"OTEL_EXPORTER_OTLP_ENDPOINT": "https://otlp-gateway-prod-eu-west-2.grafana.net/otlp",
"OTEL_EXPORTER_OTLP_HEADERS": "Basic MTM2MjQxMTpnbGNfZXlKdklqb2lNVFV5TWpJM05pSXNJbTRpT2lKMmFYTmxMV3h2WjJkbGNpSXNJbXNpT2lKMGNtd3ljRGM1U0ZCU1ZWQjNORGRrZEV3M05EUTNORTRpTENKdElqcDdJbklpT2lKd2NtOWtMV1YxTFhkbGMzUXRNaUo5ZlE9PQ=="
}
}
Installation via VS Code
VS Code has its own MCP host, which for instance GitHub Copilot is using. You can find the MCP JSON configuration file and follow the instruction from the previous section, or you can install Vise Logger via the link or command below.
Via Link
The link structure is the following (PSEUDONYMIZATION_ENCRYPTION_KEY and VISE_LOG_API_KEY REDACTED):
vscode:mcp/install?%7B%22name%22%3A%22vise-logger%22%2C%22disabled%22%3Afalse%2C%22timeout%22%3A60%2C%22type%22%3A%22stdio%22%2C%22command%22%3A%22uv%22%2C%22args%22%3A%5B%22tool%22%2C%22run%22%2C%22vise-logger%22%5D%2C%22env%22%3A%7B%22PSEUDONYMIZATION_ENCRYPTION_KEY%22%3A%22REDACTED%22%2C%22VISE_LOG_API_KEY%22%3A%22REDACTED%22%2C%22OTEL_RESOURCE_ATTRIBUTES%22%3A%22service.name%3Dvise-logger%2Cservice.namespace%3Dpublic-logs%2Cdeployment.environment%3Dproduction%22%2C%22OTEL_EXPORTER_OTLP_ENDPOINT%22%3A%22https%3A%2F%2Fotlp-gateway-prod-eu-west-2.grafana.net%2Fotlp%22%2C%22OTEL_EXPORTER_OTLP_HEADERS%22%3A%22REDACTED%22%7D%7D)
You find the VS Code link without pseudonymization (i.e. without PSEUDONYMIZATION_ENCRYPTION_KEY), but with your own VISE_LOG_API_KEY pre-filled, on the page https://viselo.gr/settings.
Via Command Line
In VS Code, you can also do the installation (with pseudonymization) through the following command line:
code --add-mcp '{"name":"vise-logger","disabled":false,"timeout":60,"type":"stdio","command":"uv","args":["tool","run","vise-logger"],"env":{"PSEUDONYMIZATION_ENCRYPTION_KEY":"key via openssl rand -base64 32","VISE_LOG_API_KEY":"your_API_key_from_viselo.gr","OTEL_RESOURCE_ATTRIBUTES":"service.name=vise-logger,service.namespace=public-logs,deployment.environment=production","OTEL_EXPORTER_OTLP_ENDPOINT":"https://otlp-gateway-prod-eu-west-2.grafana.net/otlp","OTEL_EXPORTER_OTLP_HEADERS":"Basic MTM2MjQxMTpnbGNfZXlKdklqb2lNVFV5TWpJM05pSXNJbTRpT2lKMmFYTmxMV3h2WjJkbGNpSXNJbXNpT2lKMGNtd3ljRGM1U0ZCU1ZWQjNORGRrZEV3M05EUTNORTRpTENKdElqcDdJbklpT2lKd2NtOWtMV1YxTFhkbGMzUXRNaUo5ZlE9PQ=="}}'
Local installation
This project uses uv for package and environment management.
-
Create a virtual environment:
uv venv -
Activate the virtual environment:
- On macOS/Linux:
source .venv/bin/activate
- On Windows:
.venv\Scripts\activate
- On macOS/Linux:
-
Install the project in editable mode: This command installs the project and its dependencies into the virtual environment. The
-eflag (editable) ensures that any changes you make to the source code are immediately available without needing to reinstall.uv sync --extra dev
This installs the runtime and dev dependencies, in editable mode. To only install the runtime dependencies, leave out argument
--extra dev -
Quality gates: Formatting:
uv run ruff format . && uv run ruff check .Type checking:uv run mypy .Testing:VISE_LOG_API_KEY=you_API_key_from_viselo.gr uv run pytest
If you have Vise Logger locally installed (e.g. for implementing new features), you can also use the following configuration:
"vise-logger": {
"disabled": false,
"timeout": 60,
"type": "stdio",
"command": "uv",
"args": [
"--directory",
"/local/dir/to/vise-logger",
"run",
"vise-logger"
],
"env": {
"VISE_LOG_API_KEY": "your_API_key_from_viselo.gr",
"PSEUDONYMIZATION_ENCRYPTION_KEY": "key via openssl rand -base64 32",
"OTEL_RESOURCE_ATTRIBUTES": "service.name=vise-logger,service.namespace=public-logs,deployment.environment=production",
"OTEL_EXPORTER_OTLP_ENDPOINT": "https://otlp-gateway-prod-eu-west-2.grafana.net/otlp",
"OTEL_EXPORTER_OTLP_HEADERS": "Basic MTM2MjQxMTpnbGNfZXlKdklqb2lNVFV5TWpJM05pSXNJbTRpT2lKMmFYTmxMV3h2WjJkbGNpSXNJbXNpT2lKMGNtd3ljRGM1U0ZCU1ZWQjNORGRrZEV3M05EUTNORTRpTENKdElqcDdJbklpT2lKd2NtOWtMV1YxTFhkbGMzUXRNaUo5ZlE9PQ=="
}
}
Environment Variables
VISE_LOG_API_KEY: Required. The API key for authenticating with the Vise Logger backend. This key is necessary for uploading sessions. Get it at https://viselo.gr/ by signing in, going to settings and then "Generate New Key".
The key is only shown once, so make sure you save it.
OTEL_RESOURCE_ATTRIBUTES (default "service.name=vise-logger,service.namespace=public-logs,deployment.environment=production"), OTEL_EXPORTER_OTLP_ENDPOINT (default "https://otlp-gateway-prod-eu-west-2.grafana.net/otlp"), and OTEL_EXPORTER_OTLP_HEADERS (default "Basic MTM2MjQxMTpnbGNfZXlKdklqb2lNVFV5TWpJM05pSXNJbTRpT2lKMmFYTmxMV3h2WjJkbGNpSXNJbXNpT2lKMGNtd3ljRGM1U0ZCU1ZWQjNORGRrZEV3M05EUTNORTRpTENKdElqcDdJbklpT2lKd2NtOWtMV1YxTFhkbGMzUXRNaUo5ZlE9PQ=="): Optional. The logs are sent to the MCP host and to a file (see below), but you can also use open telemetry to send your logs to a server with an open telemetry endpoint. If you use the default values, they are sent to the developer of this project.
Running the MCP Server
To run the MCP server directly from the command line:
vise-logger
MCP Tools
This server provides two tools:
rate_and_upload(stars: float, comment: str = "")
Rates and archives the current Vise Coding session. It finds the relevant log file, filters it for privacy, and simulates an upload to the backend.
configure_log_dir()
Scans the system to find and verify the directory where your coding tool saves its logs. This helps speed up future searches.
Warning: This can be a very long-running operation, potentially taking minutes to hours, as it may scan your entire hard drive.
Running Tests
With the virtual environment activated and the project installed in editable mode, you can run the integration tests:
python3 -m unittest discover tests
Note on Best Practices: Installing the package in editable mode (-e) is the recommended way to run tests for a distributable Python package. It correctly resolves imports without needing to modify sys.path, which is a less robust method. This approach simulates a real installation, making the testing environment more realistic.
REST Endpoints The Sessions Are Sent to
The endpoint should have Content-Type: multipart/form-data and the following form fields:
- file (required): The zip file containing the AI coding session data
- metadata (required): JSON string with AI coding session metadata. The metadata JSON structure:
json{
"marker": "string (required)",
"tool": "string (required)",
"stars": "number (required)",
"comment": "string (optional)"
}
The official web application for Vise Logger is www.viselo.gr. You can test it via
curl -X POST \
-F "file=@session.zip" \
-F 'metadata={"marker": "Rated session at 2025-07-30-20-56-11: 1.9 stars.", "tool": "curl", "stars": 1.9, "comment": "Just a curl test"}' \
"https://studio--viselog.us-central1.hosted.app/api/v1/sessions"
MCP server's logging and debugging
Vise Logger's own logs: if environment variables OTEL_RESOURCE_ATTRIBUTES, OTEL_EXPORTER_OTLP_ENDPOINT, and OTEL_EXPORTER_OTLP_HEADERS are set, open telemetry (http/protobuf) is used for logging. You can log to the developer's cloud instance using
OTEL_RESOURCE_ATTRIBUTES="service.name=vise-logger,service.namespace=public-logs,deployment.environment=production"
OTEL_EXPORTER_OTLP_ENDPOINT="https://otlp-gateway-prod-eu-west-2.grafana.net/otlp"
OTEL_EXPORTER_OTLP_HEADERS="Basic MTM2MjQxMTpnbGNfZXlKdklqb2lNVFV5TWpJM05pSXNJbTRpT2lKMmFYTmxMV3h2WjJkbGNpSXNJbXNpT2lKMGNtd3ljRGM1U0ZCU1ZWQjNORGRrZEV3M05EUTNORTRpTENKdElqcDdJbklpT2lKd2NtOWtMV1YxTFhkbGMzUXRNaUo5ZlE9PQ=="
Logs are also written to a file, e.g.
~/.local/state/vise-logger/log/mcp_server.log
(path depends on your machine, see https://pypi.org/project/platformdirs/).
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