Index / MCP servers / Verbaterm Policy Intelligence

Verbaterm Policy Intelligence MCP server

Verbaterm Policy Intelligence is a remote MCP server that gives an AI agent 7 tools, among them ask_question, get_policy_review, get_private_review_progress. It answers at https://verbaterm.com/mcp over streamable HTTP, and it listed its tools to an anonymous client, so no sign-in was needed for that. Our probes reached it 6 of 6 times since 11 September 2026; the last check, on 20 October 2026, succeeded.

Status
Answering
Tools
7
Reliability
6 of 6 checks
Response time
365 ms
Transport
streamable HTTP
Last checked
20 October 2026

Judged, citation-checked policy corpus over MCP. Keyless public reads; API key for AI tools.

Description as the publisher wrote it.

The 7 tools Verbaterm Policy Intelligence offers

ToolWhat it does
ask_questionAsk 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 allowance).
Inputs: question, reviewRef
get_policy_reviewGet the full judged review for one published policy: findings with verbatim citation excerpts, scores, summary, and provenance. Cite the source URLs back to the user.
Inputs: companySlug, productSlug, policyKind
get_private_review_progressPoll progress of a private review started with start_private_review.
Inputs: sessionId
get_private_review_resultGet the completed private review (findings + citations) for a session started with start_private_review. Raw source text is not returned.
Inputs: sessionId
list_policiesList published public-library policy reviews available in the corpus.
search_policiesSearch Verbaterm's judged, citation-checked public policy corpus (companies, products, policy kinds). Returns derived review metadata — findings counts, scores, freshness — never raw policy text.
Inputs: q, category, limit
start_private_reviewStart 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 to poll with get_private_review_progress.
Inputs: policyText, documentTitle, policyKind

Add Verbaterm Policy Intelligence to your AI client

Every block below points at https://verbaterm.com/mcp. Pick your client and copy.

Claude Code: one command in your terminal
claude mcp add --transport http verbaterm-policy-intelligence https://verbaterm.com/mcp
Claude Desktop: claude_desktop_config.json
{
  "mcpServers": {
    "verbaterm-policy-intelligence": {
      "command": "npx",
      "args": ["-y", "mcp-remote", "https://verbaterm.com/mcp"]
    }
  }
}
Cursor: ~/.cursor/mcp.json, or .cursor/mcp.json in a project
{
  "mcpServers": {
    "verbaterm-policy-intelligence": {
      "url": "https://verbaterm.com/mcp"
    }
  }
}
VS Code and GitHub Copilot: .vscode/mcp.json
{
  "servers": {
    "verbaterm-policy-intelligence": {
      "type": "http",
      "url": "https://verbaterm.com/mcp"
    }
  }
}
Zed: Zed settings.json
{
  "context_servers": {
    "verbaterm-policy-intelligence": {
      "url": "https://verbaterm.com/mcp"
    }
  }
}
Windsurf: ~/.codeium/mcp_config.json
{
  "mcpServers": {
    "verbaterm-policy-intelligence": {
      "serverUrl": "https://verbaterm.com/mcp"
    }
  }
}
JetBrains AI Assistant: Settings, Tools, AI Assistant, MCP, New MCP Server, as JSON
{
  "mcpServers": {
    "verbaterm-policy-intelligence": {
      "url": "https://verbaterm.com/mcp"
    }
  }
}
Continue: .continue/mcpServers/neuronto.yaml
name: Verbaterm Policy Intelligence
version: 0.0.1
schema: v1
mcpServers:
  - name: Verbaterm Policy Intelligence
    type: streamable-http
    url: https://verbaterm.com/mcp
Gemini CLI: ~/.gemini/settings.json
{
  "mcpServers": {
    "verbaterm-policy-intelligence": {
      "httpUrl": "https://verbaterm.com/mcp"
    }
  }
}
Codex CLI: MCP server config
{
  "mcpServers": {
    "verbaterm-policy-intelligence": {
      "type": "http",
      "url": "https://verbaterm.com/mcp"
    }
  }
}
Warp: MCP servers, + Add, paste JSON
{
  "mcpServers": {
    "verbaterm-policy-intelligence": {
      "url": "https://verbaterm.com/mcp"
    }
  }
}
Goose: a one-click extension link
goose://extension?url=https%3A%2F%2Fverbaterm.com%2Fmcp&type=streamable_http&id=verbaterm-policy-intelligence&name=Verbaterm%20Policy%20Intelligence

Is Verbaterm Policy Intelligence up right now?

It answered our last check on 20 October 2026 in 365 ms. Over 6 checks since 11 September 2026 it answered 6. Status here comes from Neuronto's own probes, not from the publisher.

MCP servers similar to Verbaterm Policy Intelligence

Questions about Verbaterm Policy Intelligence

How many tools does Verbaterm Policy Intelligence have?

7, as returned by the server's own tools/list on 12 September 2026: ask_question, get_policy_review, get_private_review_progress, get_private_review_result, list_policies, search_policies, start_private_review.

Is Verbaterm Policy Intelligence down?

It answered our last check on 20 October 2026 in 365 ms. Over 6 checks since 11 September 2026 it answered 6.

How do I add Verbaterm Policy Intelligence to Cursor?

Put the server under mcpServers in ~/.cursor/mcp.json with the URL https://verbaterm.com/mcp. The exact JSON is above, with the same setup for Claude Code, Claude Desktop, VS Code, Windsurf, Zed, Gemini CLI and the rest.

Does Verbaterm Policy Intelligence need an API key?

It listed its tools to an anonymous client, so reading the tool list needs no key. Individual tools can still ask for credentials in their own inputs.

Where this comes from

Publisher: io.github.tensorswillflow. Endpoint host: verbaterm.com. ARD identifier: urn:air:io.github.tensorswillflow:mcp:verbaterm. First indexed 10 September 2026. The tools are exactly what the server returned; nothing on this page is inferred from its name. Ranking in Neuronto search is never for sale.

Is this your server? Get a message the day it stops answering or its tools change: monitoring, 14 days free. Or claim the domain to manage how it is listed.