mcpbeat Sign in

Verbaterm Policy Intelligence MCP Server

by tensorswillflow Your server? Claim it
answering

Verbaterm Policy Intelligence is answering right now. Last checked 8 min ago. It exposes 7 tools.

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

The linked repository no longer exists on GitHub — it was deleted or made private.

Uptime history 48 days of history · worst day 99%
48 days agonow
98.9%
Uptime 24h
91 of 92 checks
7
Tools
read from the server
321 ms
Response time
average over 24h
open, no key
Access
streamable-http

Verbaterm Policy Intelligence missed one check this week

Everything else answered, so this is steady rather than shaky. We check every 15 minutes, which is how a one-off gets told apart from the start of a pattern, and how you hear about the next one within the hour instead of from your users.

Three servers free · no card

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 8 min ago.

run in your terminal
claude mcp add verbaterm --transport http https://verbaterm.com/mcp
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "verbaterm": {
      "url": "https://verbaterm.com/mcp"
    }
  }
}
~/.codex/config.toml
[mcp_servers.verbaterm]
url = "https://verbaterm.com/mcp"
.cursor/mcp.json
{
  "mcpServers": {
    "verbaterm": {
      "url": "https://verbaterm.com/mcp"
    }
  }
}
.vscode/mcp.json
{
  "mcpServers": {
    "verbaterm": {
      "url": "https://verbaterm.com/mcp"
    }
  }
}

Available tools 7

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

policies
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, freshness — never raw policy text.
private
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.
ask
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).
policy
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.
start
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.

Endpoints

URLTransportStateLatencyChecked
https://verbaterm.com/mcp streamable-http answering 347 ms 8 min ago

Alternatives to Verbaterm Policy Intelligence

same job, measured the same way
Cve Intelligence
by cve-security

CVE intelligence: exploitation (KEV/EPSS), detection coverage, fixed versions. All tools keyless.

8 tools answering
Esheria Regulatory Intelligence
by esherialabs

Citation-backed regulatory intelligence tools for explicit multi-jurisdiction packs

79 installs/wk answering
Hooklayer
by khan-ashifur

Viral-content intelligence for AI agents — 7 read-only MCP tools, evidence-layer scoring.

12 tools answering
BidDeed MCP
by biddeed

AI-powered foreclosure auction intelligence for Florida counties via MCP tools.

answering
I
agentgate
by ciceroyang

Read-only evidence for the tools agents run: MCP server records, coverage and policy.

local only
Veris
by vighriday

Behavioral verification intelligence for AI coding agents. 17 MCP tools. Local-first. MIT.

102 installs/wk local only
YouTube Research MCP
by coyasong

Citation-ready YouTube transcript research and optional channel intelligence for AI agents.

101 installs/wk local only
saagarpatel.dev Portfolio
by saagpatel

Agent-native MCP server over the public saagarpatel.dev corpus. Read-only, stateless.

28 installs/wk 8 tools answering

Verbaterm Policy Intelligence — questions

Answers built from our own checks of this server.

What can Verbaterm Policy Intelligence do?
It exposes 7 tools, read directly from the server on our last check. Among them: ask_question, get_policy_review, get_private_review_progress, get_private_review_result, list_policies, search_policies and 1 more. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →
What is Verbaterm Policy Intelligence mostly used for?
Its tools cluster around private and policies. That is what this server is built to work with — the grouping comes from the actual tool names, not from a category we assigned.
Is Verbaterm Policy Intelligence working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 91 of 92 checks got a reply (98.9%), average response time 321 ms. The bar chart above shows every period we have measured.
Is Verbaterm Policy Intelligence still maintained?
The linked repository no longer exists on GitHub — it was deleted or made private. We show this because it changes what you can expect: an unmaintained server may keep answering for months and then stop without warning.
How do I connect Verbaterm Policy Intelligence?
Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does Verbaterm Policy Intelligence need an API key?
No. Verbaterm Policy Intelligence completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 7 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is Verbaterm Policy Intelligence?
It answers our handshake in 321 ms on average, which is faster than 48% of all working MCP servers we measure. The comparison comes from our own checks across the whole registry, every 15 minutes.