# Tensorswillflow Verbaterm MCP server

Source: https://glimind.com/server/mcp-registry%2Fio.github.tensorswillflow%2Fverbaterm
Registry id: `mcp-registry/io.github.tensorswillflow/verbaterm`
Status: live (checked 2026-10-27T07:03:03.995Z)

## Measurements (30 days)

- Uptime: 99.98%
- Checks: 5029
- Outages (90 days): 5

## Install

```json
{
  "mcpServers": {
    "tensorswillflow-verbaterm-mcp-server": {
      "type": "http",
      "url": "https://verbaterm.com/mcp"
    }
  }
}
```

Claude Code:

```sh
claude mcp add --transport http tensorswillflow-verbaterm-mcp-server https://verbaterm.com/mcp
```

## Tools (7)

- `ask_question`: Ask a citation-grounded follow-up question about a public library review or a private session (requires a Verbaterm API key; debits the caller's plan Q&A allowa
- `get_policy_review`: Get the full judged review for one published policy: findings with verbatim citation excerpts, scores, summary, and provenance. Cite the source URLs back to the
- `get_private_review_progress`: Poll progress of a private review started with start_private_review.
- `get_private_review_result`: Get the completed private review (findings + citations) for a session started with start_private_review. Raw source text is not returned.
- `list_policies`: List published public-library policy reviews available in the corpus.
- `search_policies`: Search Verbaterm's judged, citation-checked public policy corpus (companies, products, policy kinds). Returns derived review metadata — findings counts, scores,
- `start_private_review`: Start a private Verbaterm review of pasted policy text (requires a Verbaterm API key; debits the caller's plan allowance, not API credits). Returns a sessionId 

Measured by Glimind (https://glimind.com): MCP handshake + tool list only, no tool is ever called. CC BY 4.0.