Is the Tensorswillflow Verbaterm MCP server down?

mcp-registry/io.github.tensorswillflow/verbaterm · v1.0.0

As of 2026-10-27 05:11 UTC, the Tensorswillflow Verbaterm MCP server is up with a Glimind reliability score of 100/100 (grade A). Over the last 30 days it answered 100% of Glimind's liveness checks. It had 5 outages in 90 days, with a median recovery of 3 minutes.

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

Point your MCP client at this streamable-http endpoint: https://verbaterm.com/mcp

Agent-readiness: C (75/100)

What to fix (3)

Auto-fix: 6 corrected tool definitions

Paste-ready definitions with the problems above fixed. Changes marked verify need a human look. 4 tool(s) still need parameter descriptions written by someone who knows the API. All of them as JSON: /v1/readiness/mcp-registry%2Fio.github.tensorswillflow%2Fverbaterm/fixes

{
  "name": "get_policy_review",
  "description": "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.",
  "inputSchema": {
    "type": "object",
    "required": [
      "companySlug",
      "productSlug",
      "policyKind"
    ],
    "properties": {
      "policyKind": {
        "type": "string",
        "description": "terms, privacy, cookies, data_processing, or other."
      },
      "companySlug": {
        "type": "string"
      },
      "productSlug": {
        "type": "string"
      }
    }
  },
  "annotations": {
    "readOnlyHint": true
  }
}

{
  "name": "get_private_review_progress",
  "description": "Poll progress of a private review started with start_private_review.",
  "inputSchema": {
    "type": "object",
    "required": [
      "sessionId"
    ],
    "properties": {
      "sessionId": {
        "type": "string"
      }
    }
  },
  "annotations": {
    "readOnlyHint": true
  }
}

{
  "name": "get_private_review_result",
  "description": "Get the completed private review (findings + citations) for a session started with start_private_review. Raw source text is not returned.",
  "inputSchema": {
    "type": "object",
    "required": [
      "sessionId"
    ],
    "properties": {
      "sessionId": {
        "type": "string"
      }
    }
  },
  "annotations": {
    "readOnlyHint": true
  }
}

Get alerted

Get an email or webhook when this server's readiness drops by 10+ points, tool-poisoning text appears, or a tool breaks:

curl -X POST https://glimind.com/v1/subscriptions -H 'content-type: application/json' -d '{"tools":["mcp-registry/io.github.tensorswillflow/verbaterm"],"email":"[email protected]"}'

Agents: watch_tool({"toolId": "mcp-registry/io.github.tensorswillflow/verbaterm"}) over MCP.

Passed

• Every tool has a well-formed, typed input schema.
• No tool-poisoning patterns (hidden characters, instruction overrides, concealment, secret access, tool shadowing).
• Compact tool list (~756 tokens).
• Tool names are unique and portable across clients.
• Speaks MCP 2025-06-18.
• 99.98% uptime over 30 days.
• No breaking contract changes in 30 days.

Largest tool definitions

• start_private_review ~153 tokens
• search_policies ~143 tokens
• ask_question ~139 tokens
• get_policy_review ~132 tokens
• get_private_review_result ~82 tokens

Static checks of the advertised tools/list (schema, descriptions, annotations, tool-poisoning patterns, names, size) plus observed protocol, uptime, latency and contract changes. Read-only: no tool is ever called. Weights: schema 15, docs 20, safety 15, efficiency 15, compatibility 15, protocol 5, reliability 10, stability 5. Token counts are estimates (~3.6 characters per token).

Operator? Fix these, then re-check live. Embed the readiness badge:

[![MCP agent-readiness](https://glimind.com/v1/readiness/badge/mcp-registry%2Fio.github.tensorswillflow%2Fverbaterm.svg)](https://glimind.com/server/mcp-registry%2Fio.github.tensorswillflow%2Fverbaterm?ref=badge)

<a href="https://glimind.com/server/mcp-registry%2Fio.github.tensorswillflow%2Fverbaterm?ref=badge"><img src="https://glimind.com/v1/readiness/badge/mcp-registry%2Fio.github.tensorswillflow%2Fverbaterm.svg" alt="MCP agent-readiness"></a>

.. image:: https://glimind.com/v1/readiness/badge/mcp-registry%2Fio.github.tensorswillflow%2Fverbaterm.svg
   :target: https://glimind.com/server/mcp-registry%2Fio.github.tensorswillflow%2Fverbaterm?ref=badge
   :alt: MCP agent-readiness

Tool-definition log

Glimind records every version of this server's tool definitions in a signed, append-only transparency log. Current manifest sha256:6116f7396f1a4e03…, first seen 2026-10-17, included at leaf 1388 of 77,542. Version history · verify what your client received.

Tools (7)

• ask_question
• get_policy_review
• get_private_review_progress
• get_private_review_result
• list_policies
• search_policies
• start_private_review

Compare: most reliable knowledge servers · most reliable retrieval servers · most reliable productivity servers · most reliable data servers · most reliable search servers

claude mcp add --transport http glimind https://glimind.com/mcp

{
  "mcpServers": {
    "glimind": {
      "type": "http",
      "url": "https://glimind.com/mcp"
    }
  }
}

FAQ

Is the Tensorswillflow Verbaterm MCP server down right now?

As of 2026-10-27 05:11 UTC, the Tensorswillflow Verbaterm MCP server is up with a Glimind reliability score of 100/100 (grade A). Over the last 30 days it answered 100% of Glimind's liveness checks. It had 5 outages in 90 days, with a median recovery of 3 minutes.

How many tools does Tensorswillflow Verbaterm MCP server provide?

Tensorswillflow Verbaterm MCP server advertises 7 tools, including ask_question, get_policy_review, get_private_review_progress, get_private_review_result, list_policies.

How do I install Tensorswillflow Verbaterm MCP server?

Point your MCP client at this streamable-http endpoint: https://verbaterm.com/mcp

Is the Tensorswillflow Verbaterm MCP server safe to connect to an AI agent?

Glimind scanned all 7 tool definitions for tool-poisoning patterns — hidden or invisible characters, instructions that override the model, concealment from the user, requests to read credential or MCP config files, conversation exfiltration and cross-tool shadowing — and found none. This checks what the server tells the model, not what its code does; review the source before granting access to sensitive data.

Operator of Tensorswillflow Verbaterm MCP server?

Status page: 90-day uptime, every outage and how long it lasted.

Claim this listing to get the Verified operator marker, a remediation checklist and owner analytics, or embed the live badge from any of the tool pages above. Maintainers: alerts, deploy attestation and monthly reports.

Status is an automated estimate from Glimind's liveness checks (handshake and tool listing only; no tool is ever called) and may lag or differ from your network. Glimind is not affiliated with this server or its operator. Operator? Request a correction or opt out at https://glimind.com/opt-out.