paper-scoring-mcp

# Paper Scoring MCP MCP v2 transport adapter for `paper-scoring-core`. It accepts normalized paper content, invokes an explicitly configured assessment connector, and returns the versioned core `ScoreResult` schema. ## Install Choose the provider extra needed at runtime: ```shell python -m pip install "paper-scoring-mcp[openai]==0.1.0" ``` On Windows, the equivalent command is: ```powershell py -m pip install "paper-scoring-mcp[openai]==0.1.0" ``` The `ollama`, `openalex`, and `all` extras are also available. Dependencies between Paper Scoring repositories are normal PyPI requirements; no Git or filesystem dependency is embedded in the distribution. ## Runtime configuration Configuration is read only when the executable starts. Importing the package does not read `.env` or process environment values. Pass a UTF-8 file explicitly when dotenv injection is wanted: ```shell paper-scoring-mcp --env-file .env --transport stdio ``` Existing process values take precedence over values in the file. The `--env-file` loader accepts only the keys shown in `.env.example`, which prevents an accidental dotenv file from changing unrelated process behavior. Never commit a populated `.env` file. ## Transports STDIO is suitable for local agent clients and keeps diagnostic logging on stderr so stdout remains an MCP protocol channel: ```shell paper-scoring-mcp --env-file .env --transport stdio ``` Streamable HTTP exposes the MCP endpoint at `/mcp`: ```shell paper-scoring-mcp --env-file .env --transport streamable-http \ --host 127.0.0.1 --port 8000 ``` PowerShell uses the same executable without shell-specific syntax: ```powershell paper-scoring-mcp --env-file .env --transport streamable-http --host 127.0.0.1 --port 8000 ``` DNS-rebinding protection is always enabled. A wildcard bind accepts only loopback Host values by default. For a deliberate reverse-proxy deployment, repeat `--allowed-host` and `--allowed-origin` with the exact public values. The server does not…