Verbaterm Policy Intelligence

io.github.TensorsWillFlowPublished by GitHub account TensorsWillFlowv1.0.0Updated Oct 24, 2026

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

VerifiedStreamable HTTPWeb executableKnowledge & MemoryBusiness & Commerce

Overview

AI-generated overview

Remote MCP server that lets an assistant search and read Verbaterm's judged, citation-checked policy reviews and run private policy reviews.

What you can do
Search and list published policy reviews in the public corpus, with derived metadata such as finding counts, scores and freshness rather than raw policy text. Retrieve a full judged review with findings, verbatim citation excerpts, scores, summary and provenance. Start a private review of pasted policy text, poll its progress, and fetch the completed findings and citations. Ask citation-grounded follow-up questions about a public review or a private session.
When to use it
Useful when you need to look up how a company or product's policy has been assessed, compare published reviews, or have pasted policy text reviewed with cited findings and then ask follow-up questions about it.
Requirements
A remote endpoint at verbaterm.com over streamable HTTP; no local runtime or package. Public corpus tools work without a key. Private review and Ask tools need a Verbaterm API key sent as an Authorization Bearer header.
Before you install
Private review and Ask tools require an API key and debit the caller's plan allowance (not API credits), so usage has a cost. Pasted policy text is sent to Verbaterm for review. Reviews are derived judgments, not raw policy text, so verify against the cited source URLs.

Installation

In SourceWeft

  1. Open Verbaterm Policy Intelligence in the dashboard and add it to a workspace.
  2. Enable the server for the chats that should use its tools.

Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.

Use with an agent

Paste this prompt into Claude Code, Codex, Cursor or another agent — or into SourceWeft chat. The agent reads this server's install guide, shows you its publisher, endpoint and sign-in, and adds it to your client once you agree. Keys never go into a command.

Read https://sourceweft.com/mcp/io.github.TensorsWillFlow%2Fverbaterm/install.md and connect the MCP server it describes to my client. Before changing any config, show me its publisher, endpoint and sign-in method and wait for my OK. Never put an API key in a command or in a file I would commit; ask me where it should come from.

Read the install guide the agent follows

Other MCP clients

Add this to your client's mcpServers config.

{
  "mcpServers": {
    "verbaterm-policy-intelligence": {
      "type": "http",
      "url": "https://verbaterm.com/mcp"
    }
  }
}

README

This repository has no README.

Tools

7

search_policies

Search Verbaterm's judged, citation-checked public policy corpus (companies, products, policy kinds). Returns derived review metadata — findings counts, scores, freshness — never raw policy text.

Parametersqlimitcategory

list_policies

List published public-library policy reviews available in the corpus.

Takes no parameters.

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 user.

ParameterspolicyKindrequiredcompanySlugrequiredproductSlugrequired

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 to poll with get_private_review_progress.

ParameterspolicyKindpolicyTextrequireddocumentTitle

get_private_review_progress

Poll progress of a private review started with start_private_review.

ParameterssessionIdrequired

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.

ParameterssessionIdrequired

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 allowance).

ParametersquestionrequiredreviewRefrequired

Version history

1
  1. v1.0.0LatestSep 16, 2026

Score

75% of the applicable checks met

How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.

  • Reached in the last 30 daysRequired25 pts
  • Auth declaredRequired10 pts
  • Tools listedRequired15 pts
  • DescriptionRequired15 pts
  • Logo10 pts
  • Documentation15 pts

    Declare a GitHub repository with a README, or serve resource_documentation in the OAuth protected-resource metadata.

  • License10 pts

    Declare a license in the repository or the registry entry.