tclaude 0.1.7

A complete terminal implementation of Anthropic's Claude.

tclaude — Claude in the terminal

A complete implementation of Claude in the terminal.

Unlike other tools that aim to support all kinds of LLMs, tclaude is designed specifically for Claude. As such, Claude-specific features like caching, Claude-native web search or code execution are implemented correctly and fully.

Highlights

• Interactive chat with resumable sessions, extended thinking, and tool use
  • Built-in gounded web search, code execution, and file analysis
  • MCP server support (both remote and local)
• Implement any custom tool in just a few lines of Python
• Automatic caching (makes Claude up to 10x cheaper!)

Installation

git clone https://github.com/tom94/tclaude
pip install . --user

Then set the ANTHROPIC_API_KEY environment variable to your Claude API key and you are good to go.

Usage

Running tclaude opens a new chat session. You can also directly pass a prompt to start a session.

tclaude "How do I make great pasta?"
# or: echo "How do I make great pasta?" | tclaude
> Great pasta starts with quality ingredients and proper technique. ...

Or use an outward pipe to integrate tclaude into unix workflows

git diff --staged | tclaude "Write a commit message for this diff." | xargs -0 git commit -m

Upload files with -f

tclaude -f paper.pdf "Summarize this paper."
tclaude -f cat.png "Is this a dog?"

Claude will use web search and server-side code execution when the request demands it:

tclaude "Tell me the factorials from 1 through 20."
> [Uses Python to compute the answer.]

tclaude "What is the state of the art in physically based rendering?"
> [Uses web search and responds with citations.]

Sessions

Once you're done chatting, the session will be automatically named and saved as <session-name>.json in the working directory.

You can resume the session with tclaude -s <session-name>.json.

Customize where sessions are saved by passing --sessions-dir <dir> or by setting the TCLAUDE_SESSIONS_DIR environment variable.

Extended thinking

Enable thinking with --thinking

tclaude --thinking "Write a quine in C++."
> [Claude thinks about how to write a quine before responding.]

Custom system prompt

If you'd like to customize the behavior of Claude (e.g. tell it to be brief, or give it background information), create ~/.configs/tclaude/roles/default.md. The content of this file will be prepended as system prompt to all conversations.

If you'd like to load different system prompts on a case-by-case basis, you can pass them as

tclaude --role pirate.md "How do I make great pasta?"
> Ahoy there, matey! Ye be seekin' the secrets of craftin' the finest pasta this side of the Mediterranean, eh? ...

Custom tools

Simply implement your tool as a function in src/tclaude/tools.py and it will be callable by Claude. Make sure to document the tools' function thoroughly such that Claude uses it optimally.

MCP server support

To connect tclaude to MCP servers, create ~/.configs/tclaude/tclaude.toml with the servers' address and authentication info. Two kinds of servers are supported:

1. Remote servers (e.g. remote-mcp-servers)

   • Claude will connect directly to the server and use the tools it provides. The connection is not made by your machine.
   • Remote servers are useful for tools that require a lot of resources or need to be run in a server environment.
   • If the server needs authentication, it can be done via OAuth2 or a custom token.

2. Local servers (running on your machine or in an internal network)

   • tclaude will connect to the MCP server via your machine and forward the tools to Claude.
   • Local servers are useful for tools that require access to local resources (e.g. files on your machine).
   • Two protocols are supported: STDIN (tclaude starts the server and pipes the input to it) and HTTPS (tclaude connects to the server via a URL).

Example MCP configuration for ~/.configs/tclaude/tclaude.toml:

[[mcp.local_servers]]
name = "filesystem"
command = "npx" # command and arguments to start the MCP server
args = [
    "-y",
    "@modelcontextprotocol/server-filesystem",
    "~", # access to the home directory
]
# or: url = "http://localhost:3000" # if the server is already running

[[mcp.remote_servers]]
name = "example-mcp"
url = "https://example-server.modelcontextprotocol.io/sse"

authentication = "oauth2" # opens a browser window to authenticate on first use
# or: authentication = "none"
# or: authentication = "token", authorization_token = "<your-authorization-token>"

# Optional: restrict the tools that can be used with this MCP server
# tool_configuration.enabled = true
# tool_configuration.allowed_tools = [
#   "example_tool_1",
#   "example_tool_2",
# ]

[[mcp.remote_servers]]
name = "another-remote-mcp-server"
url = "..."

License

GPLv3; see LICENSE for details.