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.
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Basic information
Flock MCP Servers and Tools
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
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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.
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.
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 …).
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.
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]`.
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`).
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).
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`.
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