What tool groups are available in flock-mcp?
The package offers six groups: `basic-tools`, `azure-tools`, `llm-tools`, `code-tools`, `all-tools`, and `all` (which adds extra ML/AI dependencies). You can also combine multiple groups.
Flock MCP Server
@whiteducksoftware
Basic information
About Flock MCP Server
Flock MCP Servers and Tools
Flock MCP Server config
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
RepositoryFlock MCP Server tools
Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
Overview
What is flock-mcp?
flock-mcp is a Python package that provides multiple MCP (Model Context Protocol) servers and tools designed for use with the Flock agent framework. It offers modular installation through optional dependency groups, allowing users to install only the tools they need.
How to use flock-mcp?
Install the package via pip or uv with one of several options: the full suite (flock-mcp[all]), specific tool groups (e.g., flock-mcp[basic-tools]), or a base installation with no extras. After installation, import the desired tools in your Python code using the Flock framework’s module structure (e.g., from flock.tools.file_tools import …).
Key features of flock-mcp
- Modular installation: choose only the tool groups you need
- basic-tools: web scraping, markdown processing, and search
- azure-tools: Azure cloud integration (blob storage, search)
- llm-tools: natural language processing with NLTK
- code-tools: code analysis and containerization via Docker
- all-tools: combines all the above without extra ML dependencies
- all: includes everything plus additional ML/AI libraries
Use cases of flock-mcp
- Scrape web pages and convert content to markdown for agent workflows
- Search the web (e.g., DuckDuckGo) directly from within a Flock agent
- Integrate Azure storage and search services into agent pipelines
- Analyze codebases or manage containers using Docker tools
- Apply natural language processing for text analysis tasks
Frequently asked questions
How do I install only the tools I need?
Use pip or uv with the corresponding bracketed extras, e.g., `pip install flock-mcp[basic-tools,azure-tools]` or `uv add flock-mcp[code-tools]`.
Does flock-mcp have any required dependencies?
The base package has no main dependencies by design. All dependencies are optional and only installed when you select the relevant tool group (e.g., `azure-tools` installs `azure-identity`, `azure-storage-blob`, `azure-search-documents`).
How do I use flock-mcp servers with the Flock framework?
After installation, import the tools in your Python code using the Flock module structure. The README shows an example: `from flock.tools.file_tools import file....` (specific tool names depend on the group installed).
What are the runtime requirements?
The package is a Python library installed via pip or uv. It requires Python 3.x (exact version not specified in the README) and works with the Flock agent framework. The `all` group adds extra ML dependencies such as `datasets`, `rouge-score`, `sentence-transformers`, and `chromadb`.
More Other MCP servers
Figs, Relationship Expert
Figs O'Sullivan, LMFTCouples therapist Figs O'Sullivan (LMFT, 17 years, endorsed by Sue Johnson, creator of EFT) inside your AI. Ask relationship questions answered from his clinical writing, name the pattern in a fight, get a three-step rep
P
PickFu MCP
PickFu MCP is a Model Context Protocol (MCP) server that connects AI assistants, developers, marketers, product managers, and AI agents to PickFu's consumer research platform. It enables users to create surveys, conduct
Codelf
unbugA search tool helps dev to solve the naming things problem.
14.2K
Hindsight
vectorize-ioHindsight: Agent Memory That Learns
50.4K
Awesome Mlops
visengerA curated list of references for MLOps
14.0K
Comments