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- flock-mcp
Flock Mcp
What is Flock Mcp
flock-mcp is a collection of multiple MCP servers and tools designed for the agent framework Flock, enabling various functionalities such as web scraping, cloud integration, and natural language processing.
Use cases
Use cases for flock-mcp include web scraping for data collection, integrating with Azure services for cloud applications, processing natural language data, and analyzing code for containerization.
How to use
To use flock-mcp, install it via pip or uv. You can choose to install all tools, specific tool groups, or just the base package. For example, use ‘pip install flock-mcp[all]’ for all tools or ‘pip install flock-mcp[basic-tools]’ for basic functionalities.
Key features
Key features of flock-mcp include modular installation options, support for various tool groups like basic tools, Azure integration, LLM tools, and code tools, as well as the ability to combine multiple groups for customized installations.
Where to use
flock-mcp can be used in fields such as data analysis, web development, cloud computing, and artificial intelligence, making it versatile for developers and data scientists.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Flock Mcp
flock-mcp is a collection of multiple MCP servers and tools designed for the agent framework Flock, enabling various functionalities such as web scraping, cloud integration, and natural language processing.
Use cases
Use cases for flock-mcp include web scraping for data collection, integrating with Azure services for cloud applications, processing natural language data, and analyzing code for containerization.
How to use
To use flock-mcp, install it via pip or uv. You can choose to install all tools, specific tool groups, or just the base package. For example, use ‘pip install flock-mcp[all]’ for all tools or ‘pip install flock-mcp[basic-tools]’ for basic functionalities.
Key features
Key features of flock-mcp include modular installation options, support for various tool groups like basic tools, Azure integration, LLM tools, and code tools, as well as the ability to combine multiple groups for customized installations.
Where to use
flock-mcp can be used in fields such as data analysis, web development, cloud computing, and artificial intelligence, making it versatile for developers and data scientists.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
flock-mcp
Multiple MCP servers and tools for the agent framework Flock.
Installation
This package has no main dependencies by design, allowing you to install only the tools you need. You can install it in several ways:
Option 1: Install All Tools (Recommended)
pip install flock-mcp[all]
Or with uv:
uv add flock-mcp[all]
This installs all available tools and dependencies.
Option 2: Install Specific Tool Groups
Choose the specific tool groups you need:
# Basic tools (web scraping, markdown, search)
pip install flock-mcp[basic-tools]
uv add flock-mcp[basic-tools]
# Azure integration tools
pip install flock-mcp[azure-tools]
uv add flock-mcp[azure-tools]
# LLM and text processing tools
pip install flock-mcp[llm-tools]
uv add flock-mcp[llm-tools]
# Code and Docker tools
pip install flock-mcp[code-tools]
uv add flock-mcp[code-tools]
# All tools (same as [all] but without extra ML dependencies)
pip install flock-mcp[all-tools]
uv add flock-mcp[all-tools]
Option 3: Combine Multiple Groups
You can combine multiple optional dependency groups:
pip install flock-mcp[basic-tools,azure-tools] uv add flock-mcp[basic-tools,azure-tools]
Option 4: Base Installation Only
Install just the base package without any optional dependencies:
pip install flock-mcp uv add flock-mcp
Available Tool Groups
basic-tools
: Web scraping (docling, tavily-python), markdown processing (markdownify), search (duckduckgo-search)azure-tools
: Azure cloud integration (azure-identity, azure-storage-blob, azure-search-documents)llm-tools
: Natural language processing (nltk)code-tools
: Code analysis and containerization (docker)all-tools
: All of the above tool groupsall
: All tools plus additional ML/AI dependencies (datasets, rouge-score, sentence-transformers, zep-python, mem0ai, chromadb, matplotlib)
Usage
After installation, you can use the various MCP servers and tools provided by this package with the Flock agent framework.
# eg
from flock.tools.file_tools import file....
DevTools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.