Project Ten Model Context Protocol (MCP) server
Listed on its own since 2026-09-26. Until then it was part of mylabs-mcp-projectall-experts, where its earlier checks remain.
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# projectone-expert One Model Context Protocol (MCP) server ## Prerequisites 1. Install `uv` from [Astral](https://docs.astral.sh/uv/getting-started/installation/) or the [GitHub README](https://github.com/astral-sh/uv#installation) 2. Install Python using `uv python install 3.13` ## Installation Install the MCP server: ```bash uv tool install mylabs-mcp.projectten-expert --force ``` Add the server to your MCP client config (e.g. `~/.cursor-server/data/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json`): ```json { "mcpServers": { "mylabs_mcp.projectten_expert": { "command": "uvx", "args": [ "--from", "mylabs-mcp-projectten-expert", "projectten-expert" ], "env": { "SHELL": "/usr/bin/zsh" }, "disabled": false, "autoApprove": [] } } } ``` ## Development 1. Set up the development environment: ```bash uv sync --all-groups ``` 2. Run the server: ```bash uv run mylabs-mcp.projectten-expert/server.py ``` 3. Install pre-commit hooks: ```bash GIT_CONFIG=/dev/null pre-commit install ``` ## Running the Server Run the server with default stdio transport: ```bash uv run mylabs-mcp.projectten-expert/server.py ``` Or with SSE transport on a specific port: ```bash uvx projectten-expert/server.py --sse --port 8888 ``` ## Customizing the Server 1. Edit `projectten_expert/server.py` to implement your MCP tools and resources 2. Add dependencies to `pyproject.toml` with `uv add <dependency>` 3. Update tests and documentation as needed 4. Build the project: `uv build` 5. Push the changes: `git push` 6. Create a release: `uv run cz bump` 7. Tag the release: `git push --tags`
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