H

Hyperresearch Answers

ai.hyperresearch/answers · v1.0.1 · MCP server

by ai.hyperresearchScan grade: Needs ImprovementOfficial MCP registry · source scanned

One question, one checked answer: quote-verified answers from the web and ~45 structured sources.

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Trust ScoreNot ratedSecurity scan63Components1
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Is Hyperresearch Answers a fit?

From the plugin's manifest and HOL's scan. Anything the plugin does not declare is shown as not declared.

Works with

  • MCP
  • 1 MCP server

Before you install

Sign-in
Not declared
Declared access
Not declared
License
Not declared

Check before relying on it

  • 4 high or critical findings from the scan. See the evidence
  • The publisher has not verified ownership on HOL.
  • No license declared in the manifest.

What is Hyperresearch Answers?

Hyperresearch Answers is a published mcp server plugin for AI coding agents in the MCP ecosystem, developed by ai.hyperresearch and distributed through the HOL AI plugin registry. One question, one checked answer: quote-verified answers from the web and ~45 structured sources.

Canonical slug
ai.hyperresearch/answers
Version
v1.0.1 · updated Oct 30, 2026

Registry snapshot

Owner verification
Not verified
Scanner
HOL plugin scanner
Security result
Caution
Digest verified
No

Trust and security

Provenance

Plugin root
.
Source repo
https://github.com/jordan-gibbs/hyperresearch-answers
Source commit
60f13df054de…
Publisher verified
No
Owner verified
Not owner verified

Security posture

See how the Trust Score is computed
Caution
Security result
63
Security score
4
High findings
Provider
codex-plugin-scanner
Grade
D · Needs Improvement
Version
3.24.2
cisco-mcp-scanner: skipped

Security

6/16

9 checks

Operational Security

9/17

5 checks

Best Practices

6/6

4 checks

Code Quality

10/10

2 checks

Findings

highsecurityHARDCODED_SECRET

Potential secret material was detected in packages/ai-sdk/test/tools.test.ts.

Remove the secret from source control and load it securely at runtime.

highsecurityHARDCODED_SECRET

Potential secret material was detected in packages/langchain-js/test/langchain.test.ts.

Remove the secret from source control and load it securely at runtime.

highsecurityHARDCODED_SECRET

Potential secret material was detected in packages/langchain-python/langchain_hyperresearch/tools.py.

Remove the secret from source control and load it securely at runtime.

highsecurityHARDCODED_SECRET

Potential secret material was detected in packages/langchain-python/tests/unit_tests/test_tools.py.

Remove the secret from source control and load it securely at runtime.

mediumoperational-securityGITHUB_ACTION_UNPINNED

.github/workflows/publish-ai-sdk.yml references "actions/checkout@v5" instead of a full 40-character commit SHA.

Pin third-party GitHub Actions and reusable workflows to a full commit SHA.

mediumoperational-securityGITHUB_ACTION_UNPINNED

.github/workflows/publish-ai-sdk.yml references "actions/setup-node@v5" instead of a full 40-character commit SHA.

Pin third-party GitHub Actions and reusable workflows to a full commit SHA.

mediumoperational-securityGITHUB_ACTION_UNPINNED

.github/workflows/publish-langchain-js.yml references "actions/checkout@v5" instead of a full 40-character commit SHA.

Pin third-party GitHub Actions and reusable workflows to a full commit SHA.

mediumoperational-securityGITHUB_ACTION_UNPINNED

.github/workflows/publish-langchain-js.yml references "actions/setup-node@v5" instead of a full 40-character commit SHA.

Pin third-party GitHub Actions and reusable workflows to a full commit SHA.

mediumoperational-securityGITHUB_ACTION_UNPINNED

.github/workflows/publish-langchain-python.yml references "actions/checkout@v5" instead of a full 40-character commit SHA.

Pin third-party GitHub Actions and reusable workflows to a full commit SHA.

mediumoperational-securityGITHUB_ACTION_UNPINNED

.github/workflows/publish-langchain-python.yml references "astral-sh/setup-uv@v6" instead of a full 40-character commit SHA.

Pin third-party GitHub Actions and reusable workflows to a full commit SHA.

mediumoperational-securityGITHUB_ACTION_UNPINNED

.github/workflows/publish-langchain-python.yml references "actions/upload-artifact@v4" instead of a full 40-character commit SHA.

Pin third-party GitHub Actions and reusable workflows to a full commit SHA.

mediumoperational-securityGITHUB_ACTION_UNPINNED

.github/workflows/publish-langchain-python.yml references "actions/download-artifact@v4" instead of a full 40-character commit SHA.

Pin third-party GitHub Actions and reusable workflows to a full commit SHA.

mediumoperational-securityGITHUB_ACTION_UNPINNED

.github/workflows/publish-langchain-python.yml references "pypa/gh-action-pypi-publish@release/v1" instead of a full 40-character commit SHA.

Pin third-party GitHub Actions and reusable workflows to a full commit SHA.

mediumoperational-securityGITHUB_ACTION_UNPINNED

.github/workflows/test-ai-sdk.yml references "actions/checkout@v5" instead of a full 40-character commit SHA.

Pin third-party GitHub Actions and reusable workflows to a full commit SHA.

mediumoperational-securityGITHUB_ACTION_UNPINNED

.github/workflows/test-ai-sdk.yml references "actions/setup-node@v5" instead of a full 40-character commit SHA.

Pin third-party GitHub Actions and reusable workflows to a full commit SHA.

mediumoperational-securityGITHUB_ACTION_UNPINNED

.github/workflows/test-langchain-js.yml references "actions/checkout@v5" instead of a full 40-character commit SHA.

Pin third-party GitHub Actions and reusable workflows to a full commit SHA.

mediumoperational-securityGITHUB_ACTION_UNPINNED

.github/workflows/test-langchain-js.yml references "actions/setup-node@v5" instead of a full 40-character commit SHA.

Pin third-party GitHub Actions and reusable workflows to a full commit SHA.

mediumoperational-securityGITHUB_ACTION_UNPINNED

.github/workflows/test-langchain-python.yml references "actions/checkout@v5" instead of a full 40-character commit SHA.

Pin third-party GitHub Actions and reusable workflows to a full commit SHA.

mediumoperational-securityGITHUB_ACTION_UNPINNED

.github/workflows/test-langchain-python.yml references "astral-sh/setup-uv@v6" instead of a full 40-character commit SHA.

Pin third-party GitHub Actions and reusable workflows to a full commit SHA.

lowsecuritySECURITY_MD_MISSING

Plugins should publish a SECURITY.md file for responsible disclosure and support guidance.

Add a SECURITY.md file with reporting guidance and supported versions.

lowoperational-securityDEPENDABOT_MISSING

Automation or dependency surfaces exist, but .github/dependabot.yml is missing.

Add Dependabot updates for GitHub Actions and dependency manifests.

Install guidance

Install in MCP

Connect the bundled MCP server shipped in the repository .mcp.json file.

MCP docs
  1. 1

    Clone the repository

    shell
  2. 2

    Register the server in your MCP client

    Claude Code reads a project .mcp.json file and asks you to approve its servers when you open the folder. Other clients keep their own MCP configuration, so copy the server entry from .mcp.json into that client. If this repository configures its server differently, follow the MCP setup the publisher documents.

  3. 3

    Verify the server

    Check the MCP server list in your client. The server declared in .mcp.json should report as connected. In Claude Code, run /mcp to see it.

Did setup work in MCP?

No setup reports for MCP yet. Self-reported by signed-in visitors. Copying a command is not counted, and most installs are never reported.

Attested installs: Fewer than 10 attested installs of this plugin in week 2026-W43, so no number is shown. Counted from opt-in HOL Guard install reports, once per machine and runtime, and never mixed with the answers above. How install reports work.

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Plugin manifest

{
  "source": "official-mcp-registry",
  "evidenceState": "scanned_source",
  "registryName": "ai.hyperresearch/answers",
  "publishedAt": "2026-10-30T14:50:28.125057Z",
  "packages": [],
  "remotes": [
    {
      "type": "streamable-http",
      "url": "https://answers.hyperresearch.ai/mcp"
    }
  ],
  "sourceScannedAt": "2026-10-31T03:06:47.849Z",
  "sourceScanCommit": "60f13df054de2508faed24bbea052ce9904750ab"
}

File inventory

File inventory is unavailable for this plugin right now.

Hyperresearch Answers — Frequently asked questions

What is Hyperresearch Answers?
Hyperresearch Answers is an AI plugin in the HOL registry. One question, one checked answer: quote-verified answers from the web and ~45 structured sources.
How do I install Hyperresearch Answers?
Install Hyperresearch Answers in your harness: MCP — git clone https://github.com/jordan-gibbs/hyperresearch-answers. Full step-by-step guidance is on the HOL plugin page.
How do I install Hyperresearch Answers in MCP?
To install Hyperresearch Answers in MCP, start with git clone https://github.com/jordan-gibbs/hyperresearch-answers. The complete step-by-step install guide for MCP is on the HOL plugin page.
Who publishes Hyperresearch Answers?
Hyperresearch Answers is published by ai.hyperresearch and listed on HOL.

Directory acceptance

Listed in 0 of 5 directory lists

Read from the list each directory publishes on GitHub. Being listed means the directory accepted the plugin; it is not a HOL security rating.

Lists last read . HOL re-reads them every day.

Submitting it? Check it against each directory's rules

Install signal

HOL cannot see every install. These are separate signals from different sources, so they are not added together. Counts under each floor show as <N.

Install commands issued here
<5
HOL Guard install commands issued from this listing, last 28 days.
Opt-in install reports
<10
Machines that reported installing it through HOL Guard in week 2026-W43. Reporting is opt-in, so most installs are not counted.
HOL Guard workspaces
<5
Workspaces that approved it or include it in an approved-plugin feed, as of today.

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