semvec/pypi-packages huggingface dataset:
oracle.oci-identity-mcp-server 2.1.3
OCI Identity Service MCP server
Requires Python: >=3.13

# OCI Identity MCP Server

## Overview

This server provides tools to interact with the OCI Identity service.

## Running the server

### STDIO transport mode

```sh
uvx oracle.oci-identity-mcp-server
```

### HTTP streaming transport mode

```sh
ORACLE_MCP_HOST=<hostname/IP address> ORACLE_MCP_PORT=<port number> uvx oracle.oci-identity-mcp-server
```

## Environment Variables

The server supports the following environment variables:

- `OCI_CONFIG_PROFILE`: OCI configuration profile name (default: "DEFAULT")
- `TENANCY_ID_OVERRIDE`: Overrides the tenancy ID from the config file

## Tools

| Tool Name | Description |
| --- | --- |
| list_compartments | List compartments in a given tenancy. |
| get_tenancy_info | Get tenancy information. |
| list_availability_domains | List availability domains in a given tenancy. |
| get_current_tenancy | Get current tenancy information. |
| create_auth_token | Create an authentication token for a user. |
| get_current_user | Get current user information. |
| get_compartment_by_name | Return a compartment matching the provided name                              |
| list_subscribed_regions | Return a list of all regions the customer (tenancy) is subscribed to         |


⚠️ **NOTE**: All actions are performed with the permissions of the configured OCI CLI profile. We advise least-privilege IAM setup, secure credential management, safe network practices, secure logging, and warn against exposing secrets.

## Third-Party APIs

Developers choosing to distribute a binary implementation of this project are responsible for obtaining and providing all required licenses and copyright notices for the third-party code used in order to ensure compliance with their respective open source licenses.

## Disclaimer

Users are responsible for their local environment and credential safety. Different language model selections may yield different results and performance.

## License

Copyright (c) 2025 Oracle and/or its affiliates.
 
Released under the Universal Permissive License v1.0 as shown at  
<https://oss.oracle.com/licenses/upl/>.
oracle.oci-faaas-mcp-server 1.0.1
OCI Fusion Applications (FAaaS) MCP server
Requires Python: >=3.13

# OCI Fusion Applications (FAaaS) MCP Server

## Overview

This server provides tools for interacting with Oracle Cloud Infrastructure (OCI) Fusion Applications (FAaaS) via the OCI Python SDK `oci.fusion_apps.FusionApplicationsClient`.

## Running the server

```sh
uv run oracle.oci-faaas-mcp-server
```

## Tools

| Tool Name | Description |
| --- | --- |
| list_fusion_environment_families | List Fusion Environment Families in a compartment |
| list_fusion_environments | List Fusion Environments in a compartment (optionally by family) |
| get_fusion_environment | Get details of a Fusion Environment by OCID |
| get_fusion_environment_status | Get status of a Fusion Environment by OCID |

Notes:
- All list tools handle pagination.
- Responses are converted to plain dictionaries using best-effort conversion of OCI SDK models.

⚠️ NOTE: All actions are performed with the permissions of the configured OCI CLI profile. We advise least-privilege IAM setup, secure credential management, safe network practices, secure logging, and warn against exposing secrets.

## Third-Party APIs

Developers choosing to distribute a binary implementation of this project are responsible for obtaining and providing all required licenses and copyright notices for the third-party code used in order to ensure compliance with their respective open source licenses.

## Disclaimer

Users are responsible for their local environment and credential safety. Different language model selections may yield different results and performance.

## License

Copyright (c) 2025 Oracle and/or its affiliates.

Released under the Universal Permissive License v1.0 as shown at  
https://oss.oracle.com/licenses/upl/
oracle.oci-compute-mcp-server 1.2.2
OCI Compute Service MCP server
Requires Python: >=3.13

# OCI Compute MCP Server

## Overview

This server provides tools to interact with the OCI Compute resources.
It includes tools to help with managing compute instances.

## Running the server

### STDIO transport mode

```sh
uvx oracle.oci-compute-mcp-server
```

### HTTP streaming transport mode

```sh
ORACLE_MCP_HOST=<hostname/IP address> ORACLE_MCP_PORT=<port number> uvx oracle.oci-compute-mcp-server
```

## Tools

| Tool Name | Description |
| --- | --- |
| list_instances | List Instances in a given compartment |
| get_instance | Get Instance with a given instance OCID |
| launch_instance | Create a new instance |
| terminate_instance | Terminate an instance |
| update_instance | Update instance configuration |
| list_images | List images in a given compartment |
| get_image | Get Image with a given image OCID |
| instance_action | Perform actions on a given instance |

⚠️ **NOTE**: All actions are performed with the permissions of the configured OCI CLI profile. We advise least-privilege IAM setup, secure credential management, safe network practices, secure logging, and warn against exposing secrets.

## Third-Party APIs

Developers choosing to distribute a binary implementation of this project are responsible for obtaining and providing all required licenses and copyright notices for the third-party code used in order to ensure compliance with their respective open source licenses.

## Disclaimer

Users are responsible for their local environment and credential safety. Different language model selections may yield different results and performance.

## License

Copyright (c) 2025 Oracle and/or its affiliates.
 
Released under the Universal Permissive License v1.0 as shown at  
<https://oss.oracle.com/licenses/upl/>.
oracle.oci-compute-instance-agent-mcp-server 2.1.2
OCI Compute Instance Agent MCP Server
Requires Python: >=3.13

# OCI Compute Instance Agent MCP Server

## Overview

This server provides tools for interacting with Oracle Cloud Infrastructure (OCI) Compute Instance Agent service.

## Running the server

### STDIO transport mode

```sh
uvx oracle.oci-compute-instance-agent-mcp-server
```

### HTTP streaming transport mode

```sh
ORACLE_MCP_HOST=<hostname/IP address> ORACLE_MCP_PORT=<port number> uvx oracle.oci-compute-instance-agent-mcp-server
```

## Tools

| Tool Name | Description |
| --- | --- |
| list_instance_agent_commands | List instance agent commands |
| get_instance_agent_command | Get instance agent command by ID |
| create_instance_agent_command | Create a new instance agent command |
| list_instance_agent_command_executions | List command executions for an instance agent command |

⚠️ **NOTE**: All actions are performed with the permissions of the configured OCI CLI profile. We advise least-privilege IAM setup, secure credential management, safe network practices, secure logging, and warn against exposing secrets.

## Third-Party APIs

Developers choosing to distribute a binary implementation of this project are responsible for obtaining and providing all required licenses and copyright notices for the third-party code used in order to ensure compliance with their respective open source licenses.

## Disclaimer

Users are responsible for their local environment and credential safety. Different language model selections may yield different results and performance.

## License

Copyright (c) 2025 Oracle and/or its affiliates.
 
Released under the Universal Permissive License v1.0 as shown at  
<https://oss.oracle.com/licenses/upl/>.
oracle.oci-cloud-guard-mcp-server 1.1.2
OCI Cloud Guard Service MCP server
Requires Python: >=3.13

# OCI Cloud Guard MCP Server

## Overview

This package implements certain functions of the [OCI Cloud Guard Service](https://docs.oracle.com/en-us/iaas/Content/cloud-guard/home.htm).
It includes tools to help with managing cloud guard problems.

## Running the server

### STDIO transport mode

```sh
uvx oracle.oci-cloud-guard-mcp-server
```

### HTTP streaming transport mode

```sh
ORACLE_MCP_HOST=<hostname/IP address> ORACLE_MCP_PORT=<port number> uvx oracle.oci-cloud-guard-mcp-server
```

## Tools

| Tool Name             | Description                               |
|-----------------------|-------------------------------------------|
| list_problems         | List the problems in a given compartment  |
| get_problem_details   | Get the problem details with a given OCID |
| update_problem_status | Updates the status of a problem           |

⚠️ **NOTE**: All actions are performed with the permissions of the configured OCI CLI profile. We advise least-privilege IAM setup, secure credential management, safe network practices, secure logging, and warn against exposing secrets.

## Third-Party APIs

Developers choosing to distribute a binary implementation of this project are responsible for obtaining and providing all required licenses and copyright notices for the third-party code used in order to ensure compliance with their respective open source licenses.

## Disclaimer

Users are responsible for their local environment and credential safety. Different language model selections may yield different results and performance.

## License

Copyright (c) 2025 Oracle and/or its affiliates.

Released under the Universal Permissive License v1.0 as shown at  
<https://oss.oracle.com/licenses/upl/>.
svo-client 2.2.13
Async client for SVO semantic chunker microservice.
Requires Python: >=3.8

# svo-client

Асинхронный Python-клиент для SVO Semantic Chunker microservice.

## Установка

```bash
pip install svo-client
```

## Пример использования

```python
from svo_client.chunker_client import ChunkerClient
import asyncio

async def main():
    async with ChunkerClient(timeout=60) as client:
        chunks = await client.chunk_text("Your text here.")
        print(client.reconstruct_text(chunks))

asyncio.run(main())
```

## Документация
- [OpenAPI schema](docs/openapi.json)
- [Примеры и тесты](tests/test_chunker_client.py)

## API клиента

### Класс `ChunkerClient`

**Инициализация:**
```python
client = ChunkerClient(url="http://localhost", port=8009, timeout=60)
```
- `url` — адрес сервиса (по умолчанию http://localhost)
- `port` — порт (по умолчанию 8009)
- `timeout` — таймаут HTTP-запросов в секундах (по умолчанию 60)
iflow-mcp_loyaniu-moodle-mcp 0.1.0
A Model Context Protocol (MCP) server implementation that provides capabilities to interact with Moodle LMS.
Requires Python: >=3.10

[![MseeP.ai Security Assessment Badge](https://mseep.net/pr/loyaniu-moodle-mcp-badge.png)](https://mseep.ai/app/loyaniu-moodle-mcp)

# Moodle-MCP

> A Model Context Protocol (MCP) server implementation that provides capabilities to interact with Moodle LMS.
>
> **Warning:** This project is still in development, only some functions are available.

## Features

- [x] Get upcoming events from Moodle

## API Reference

For available Moodle API functions, please refer to the [official documentation](https://docs.moodle.org/dev/Web_service_API_functions).

## Setup Instructions

### Method 1: Using `mcp` CLI (recommended)

1. Create your own `.env` file from `.env.example`
2. Assume you have `uv` installed, run `uv add "mcp[cli]"` to install the MCP CLI tools
3. Run `mcp install main.py -f .env` to add the moodle-mcp server to Claude app

### Method 2: Using `uvx`

Go to Claude > Settings > Developer > Edit Config > claude_desktop_config.json to include the following

```json
{
  "mcpServers": {
    "moodle-mcp": {
      "command": "uvx",
      "args": ["moodle-mcp"],
      "env": {
        "MOODLE_URL": "https://{your-moodle-url}/webservice/rest/server.php",
        "MOODLE_TOKEN": "{your-moodle-token}"
      }
    }
  }
}
```

## Authentication

### Getting your Moodle token

1. Navigate to your Moodle token management page `https://{your-moodle-url}/user/managetoken.php`
2. Use the token with `Moodle mobile web service` in the `Service` column
3. Add this token to your `.env` file
iflow-mcp_leslieleung-memos-mcp-server 0.1.0
A MCP server for the Memos API
Requires Python: >=3.11

# memos-mcp-server
[![smithery badge](https://smithery.ai/badge/@LeslieLeung/mcp-server-memos)](https://smithery.ai/server/@LeslieLeung/mcp-server-memos)

A [MCP(Model Context Protocol)](https://modelcontextprotocol.io) server for [Memos](https://github.com/usememos/memos).

## Tools

- `search_memos`: Search memos with keyword.
- `create_memo`: Create a new memo.

## Usage

### Installing via Smithery

To install mcp-server-memos for Claude Desktop automatically via [Smithery](https://smithery.ai/server/@LeslieLeung/mcp-server-memos):

```bash
npx -y @smithery/cli install @LeslieLeung/mcp-server-memos --client claude
```

```
{
    "mcpServers": [
        "memos": {
            "command": "uvx",
            "args": [
                "memos-mcp-server"
            ],
            "env": {
                "MEMOS_URL": "https://memos.example.com",
                "MEMOS_API_KEY": "your_api_key",
                "DEFAULT_TAG": "#mcp"
            }
        }
    ]
}
```
kvxopt 1.3.2.4
Convex optimization package and Suite Sparse interface
Requires Python: !=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,>=3.5

KVXOPT
======

This package is a fork from CVXOPT including more SuiteSparse functions and KLU
sparse matrix solver.


* [Website](https://sanurielf.github.io/kvxopt/)
* [Documentation](https://sanurielf.github.io/kvxopt/userguide/index.html)



Release info
------------

[![License](https://img.shields.io/badge/license-GPL3-blue.svg)](https://www.gnu.org/licenses/gpl-3.0.en.html) 
[![GitHub release](https://img.shields.io/github/release/sanurielf/kvxopt.svg)](https://github.com/sanurielf/kvxopt/releases/latest)
[![PyPI](https://img.shields.io/pypi/v/kvxopt.svg)](https://pypi.python.org/pypi/kvxopt)
[![Anaconda-Server Badge](https://anaconda.org/conda-forge/kvxopt/badges/version.svg)](https://anaconda.org/conda-forge/kvxopt)

Related projects
----------------

* [Original CVXOPT package](https://github.com/cvxopt/cvxopt)


Build status
------------


|             | [master](https://github.com/sanurielf/cvxopt/tree/master) | [dev](https://github.com/sanurielf/cvxopt/tree/dev) |
|-------------|--------|------------|
| Linux | [![Linux build](https://github.com/sanurielf/kvxopt/workflows/Linux%20build/badge.svg?branch=master)](https://github.com/sanurielf/kvxopt/actions)|  [![Linux build](https://github.com/sanurielf/kvxopt/workflows/Linux%20build/badge.svg?branch=dev)](https://github.com/sanurielf/kvxopt/actions)| 
| MacOs | [![macOS build](https://github.com/sanurielf/kvxopt/workflows/macOS%20build/badge.svg?branch=master)](https://github.com/sanurielf/kvxopt/actions)|  [![macOS build](https://github.com/sanurielf/kvxopt/workflows/macOS%20build/badge.svg?branch=dev)](https://github.com/sanurielf/kvxopt/actions)| 
| Windows (MSVC)| [![Windows build with MSVC](https://github.com/sanurielf/kvxopt/workflows/Windows%20build%20with%20MSVC/badge.svg?branch=master)](https://github.com/sanurielf/kvxopt/actions)|  [![Windows build with MSVC](https://github.com/sanurielf/kvxopt/workflows/Windows%20build%20with%20MSVC/badge.svg?branch=dev)](https://github.com/sanurielf/kvxopt/actions)| 
| Coveralls   |  [![Coverage Status](https://coveralls.io/repos/github/sanurielf/cvxopt/badge.svg?branch=master)](https://coveralls.io/github/sanurielf/cvxopt?branch=master)   | [![Coverage Status](https://coveralls.io/repos/github/sanurielf/cvxopt/badge.svg?branch=master)](https://coveralls.io/github/sanurielf/cvxopt?branch=dev)   |
| Readthedocs | [![RTFD Status](https://readthedocs.org/projects/cvxopt/badge/?version=latest)](http://cvxopt.readthedocs.io/en/latest/?badge=latest) | [![RTFD Status](https://readthedocs.org/projects/cvxopt/badge/?version=latest)](http://cvxopt.readthedocs.io/en/latest/?badge=latest) |
openinfer-oinf 0.1.1
Python tooling for the .oinf model format.
Requires Python: >=3.8

## openinfer-oinf

Python tooling for the `.oinf` model format. Use this package to encode
dataclass-based models, verify binaries, and inspect sizevars and tensors.

### Install
```bash
pip install openinfer-oinf
```

### Install (local dev)
```bash
python -m venv .venv
. .venv/bin/activate
pip install -r requirements.txt
```

### Generate a model
```bash
python examples/mlp_regression_oinf.py
python verify_oinf.py res/models/mlp_regression.oinf
```

### Tests (local dev)
```bash
python tests/run_oinf_tests.py
```

Docs: docs.open-infer.nl