About Local MCP Client
Local MCP Client is an MCP server published by mytechnotalent in the AI category: local MCP Client is a cross-platform web and API interface for interacting with configurable MCP servers using natural language, powered by Ollama and any local LLM of choice, enabling structured tool execution and dynamic agent behavior.
The repository has 5 stars and 1 forks, with the last commit 10 months ago. Six months or more without a commit doesn't mean the server is broken, but check the open issues before depending on it in production.
Install
git clone https://github.com/mytechnotalent/Local_MCP_ClientThis server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.
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Security checks
Static checks derived from the repository 2 days ago. Heuristics on the source, not an audit.
- ✓README presentThe repository ships documentation.
- ✓License declaredUsable under a stated license.
- ✓Tests presentA test suite exists in the repository.
- !Dependencies pinnedNo lockfile. Installs can pull different code over time.
- ✓No dynamic code executionSource scan found no eval, dynamic Function, or shell execution.
- !Scoped permissionsDoesn't declare a permission scope. Assume it can do anything its process can.
Releases
README
Local MCP Client
Local MCP Client is a cross-platform web and API interface for interacting with configurable MCP servers using natural language, powered by Ollama and any local LLM of choice, enabling structured tool execution and dynamic agent behavior.
Step 1a: Create Virtual Env & Install Requirements - MAC/Linux
curl -LsSf https://astral.sh/uv/install.sh | sh
cd Local_MCP_Client
uv init .
uv venv
source .venv/bin/activate
uv pip install -r requirements.txt
Step 1b: Create Virtual Env & Install Requirements - Windows
powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"
cd Local_MCP_Client
uv init .
uv venv
.venv\Scripts\activate
uv pip install -r requirements.txt
Step 2a: Install Ollama & Pull LLM Model - MAC
brew install ollama
ollama serve
ollama pull llama3:8b
Step 2b: Install Ollama & Pull LLM Model - Linux
curl -fsSL https://ollama.com/install.sh | sh
ollama serve
ollama pull llama3:8b
Step 2c: Install Ollama & Pull LLM Model - Windows
Download Ollama HERE
ollama serve
ollama pull llama3:8b
Step 3a: Clone MCP Servers - MAC/Linux
cd ~/Documents
git clone https://github.com/mytechnotalent/MalwareBazaar_MCP.git
git clone https://github.com/Invoke-RE/binja-lattice-mcp
Step 3b: Clone MCP Servers - Windows
cd "$HOME\Documents"
git clone https://github.com/mytechnotalent/MalwareBazaar_MCP.git
git clone https://github.com/Invoke-RE/binja-lattice-mcp
Step 4: Run Ollama
ollama serve
Step 5a: Run MCP Client - MAC/Linux
export BNJLAT = "<your-binja-api-token>"
uv run local_mcp_client.py
Step 5b: Run MCP Client - Windows
$env:BNJLAT = "<your-binja-api-token>"
uv run local_mcp_client.py
Step 6: Run Tests
python -m unittest discover -s tests
uv pip install coverage==7.8.0
coverage run --branch -m unittest discover -s tests
coverage report -m
coverage html
open htmlcov/index.html # MAC
xdg-open htmlcov/index.html # Linux
start htmlcov\index.html # Windows
coverage erase
License
README fetched from the repository 2 days ago. The original is authoritative.