Supports environment variable configuration for API keys and settings through .env file management, facilitating secure credential storage and application configuration.
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@MCP Chat summarize the key points from @project_plan.md"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
MCP Chat is a command-line interface application that enables interactive chat capabilities with AI models through the Anthropic API. The application supports document retrieval, command-based prompts, and extensible tool integrations via the MCP (Model Control Protocol) architecture.
Python 3.9+
Anthropic API Key
Related MCP server: MCP Chat
Create or edit the .env file in the project root and verify that the following variables are set correctly:
ANTHROPIC_API_KEY="" # Enter your Anthropic API secret keyuv is a fast Python package installer and resolver.
Install uv, if not already installed:
pip install uvCreate and activate a virtual environment:
uv venv
source .venv/bin/activate # On Windows: .venv\Scripts\activateInstall dependencies:
uv pip install -e .Run the project
uv run main.pyCreate and activate a virtual environment:
python -m venv .venv
source .venv/bin/activate # On Windows: .venv\Scripts\activateInstall dependencies:
pip install anthropic python-dotenv prompt-toolkit "mcp[cli]==1.8.0"Run the project
python main.pySimply type your message and press Enter to chat with the model.
Use the @ symbol followed by a document ID to include document content in your query:
> Tell me about @deposition.mdUse the / prefix to execute commands defined in the MCP server:
> /summarize deposition.mdCommands will auto-complete when you press Tab.
Edit the mcp_server.py file to add new documents to the docs dictionary.
To fully implement the MCP features:
Complete the TODOs in mcp_server.py
Implement the missing functionality in mcp_client.py
There are no lint or type checks implemented.
Edit a document by replacing a string in the documents content with a new string
Inputs: doc_id (required), new_str (required), old_str (required).
Read the contents of a document and return it as a string.
Inputs: doc_id (required).
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
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Scored across 2 tools
The two tools are clearly distinct: one reads document contents, the other edits by string replacement. No ambiguity in purpose.
Both tools follow a consistent verb_noun pattern: read_doc_contents and edit_document. The naming style is uniform.
With only two tools, the server feels extremely thin for any meaningful functionality, especially given the 'Chat' name suggests broader capabilities. The surface is too limited.
The toolset covers only read and edit operations, missing essential CRUD operations like create, delete, or list. This creates significant gaps for document management workflows.
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