MCP server for envbert EDD classification — stdio and streamable HTTP transports
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# envbert-mcp MCP server for **envbert** environmental due diligence (EDD) text classification — supports both **stdio** (Claude Code, VS Code) and **streamable HTTP** (Claude.ai, any remote MCP client) transports. Classifies EDD text — site assessment reports, groundwater monitoring logs, geological surveys — into categories like `Geology`, `Contaminants`, and `Remediation Standards` using a local DistilBERT model ([d4data/environmental-due-diligence-model](https://huggingface.co/d4data/environmental-due-diligence-model)). No LLM fallback, sub-second inference, and your data never leaves your machine. --- ## Features - **Two transports, one codebase** — the same tool logic is exposed over stdio and streamable HTTP; the model loads once per process and is shared across all connections. - **Three MCP tools:** - `check_envbert_status` — check whether the model is loaded and ready - `classify_environmental_text` — classify a single passage - `classify_environmental_document` — classify every paragraph of a document concurrently, with a category breakdown and low-confidence flags - **Fast** — sub-second inference after warmup, no LLM round-trip - **Local-only** — the model runs on your machine; HTTP mode only binds to `localhost` by default --- ## Installation ```bash pip install envbert envbert-mcp ``` Verify: ```bash python -c "from EnvBert.due_diligence import envbert_predict; print('OK')" envbert-mcp --help ``` > **Note:** the importable module is `EnvBert` (capital E and B), not > `envbert`. --- ## Usage ### stdio (Claude Code / VS Code) Default mode — no flags needed. Claude Code and the Claude Code VS Code extension spawn this as a subprocess automatically once configured (see below). ```bash envbert-mcp ``` ### Streamable HTTP (Claude.ai / remote clients) ```bash envbert-mcp --http ``` Runs on `http://127.0.0.1:8000` by default. First call after startup takes 1…
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