codrspot-processor-mcp

# codrspot-processor-mcp A local MCP (Model Context Protocol) client that connects Claude Code to your indexed repositories, giving it code-context retrieval and patch-generation tools for a project registered with a codrspot-processor server. This package is the **client** only. It talks to a codrspot-processor server over its HTTP API; it does not include or require running the server itself. ## Requirements - Python 3.12 (3.13 is not supported) - A reachable codrspot-processor server instance and its base URL - A `credentials.yaml` manifest issued by your server operator (used to mint a JWT for each project you register) - An OpenAI-compatible LLM endpoint (a local server or `OPENAI_API_KEY` for a remote provider) No local Qdrant install is needed — the client keeps its own embedded, file-backed vector store for source chunks. ## 1. Install Pick a permanent install location — this becomes `CODEPREPROC_HOME`. Claude Code's default expectation is `%USERPROFILE%\.codepreproc` on Windows, or `$HOME/.codepreproc` on macOS/Linux: **Windows (PowerShell)** ```powershell mkdir "$env:USERPROFILE\.codepreproc" cd "$env:USERPROFILE\.codepreproc" python -m venv .venv .\.venv\Scripts\Activate.ps1 python -m pip install --upgrade pip python -m pip install codrspot-processor-mcp ``` This installs the `codepreproc` and `codepreproc-mcp` console scripts into `.venv\Scripts\`. To upgrade later: ```powershell python -m pip install --upgrade codrspot-processor-mcp ``` **macOS/Linux (bash/zsh)** ```bash mkdir -p "$HOME/.codepreproc" cd "$HOME/.codepreproc" python3 -m venv .venv source .venv/bin/activate python -m pip install --upgrade pip python -m pip install codrspot-processor-mcp ``` This installs the `codepreproc` and `codepreproc-mcp` console scripts into `.venv/bin/`. To upgrade later: ```bash python -m pip install --upgrade codrspot-processor-mcp ``` Then run `codepreproc setup` to scaffold `CODE…