# Hyperbound: MCP server status, API access gate and what it does

> AI sales roleplay and "revenue activation" platform that turns an ICP description into an interactive AI... No MCP found, Gate unknown. Checked 2026-09-02.

*Markdown twin of the HTML page at the same path. Same content, no navigation, no styling, no scripts. Links below point at other twins. Site map for machines: [llms.txt](../llms.txt). The whole dataset: [directory.json](../data/directory.json).*

*Maintained by Andrew McGuire (https://andrewcmcguire.com), who also publishes https://gtmsignals.co and https://justsaid.ai.*

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[Directory](../index.md) /
[Enablement & Coaching](../categories/enablement-coaching.md) /
Hyperbound

# Hyperbound

[No MCP found](../mcp/none-found.md)
[Gate unknown](../gates/unknown.md)
[Enablement & Coaching](../categories/enablement-coaching.md)
RESEARCHED
Checked 2026-09-02

> **RESEARCHED** Facts from public sources with URLs. No usage claims. Nobody has run this tool. The other tier is BENCH-TESTED, which means Andrew personally ran the tool on a stated date and cannot be bought at any price. Across the whole directory that count is 1.

Vendor: [hyperbound.ai](https://hyperbound.ai) · entry id 11-hyperbound · source 11-enablement-coaching.md line 64

**What it does**
AI sales roleplay and "revenue activation" platform that turns an ICP description into an interactive AI buyer in minutes, covering cold calls, discovery, demos, and post-sale conversations, with call scoring against custom scorecards.

**AI features, separated from automation with an AI label on it**
Genuinely AI: AI buyers built from 2M+ hours of real B2B sales conversation data hold dynamic, unscripted conversations; automatic scoring of both practice and (via Gong/Salesloft/Chorus integration) real calls against a custom methodology scorecard. Gamification (leaderboards, certification) is plain automation layered on top of the AI core.

**RevOps role**
Practice and live-call scoring layer that integrates into an existing conversation-intelligence stack (Gong, Salesloft, Chorus) rather than replacing it.

**MCP server**

- **Status bucket**: No MCP found

- **Auth**: n/a

- **Parsed URLs**: 0 found in the mcp_url field

No server was found at the time of the check. That is a statement about the search, not a promise that none exists. The status was established on 2026-09-02.

mcp_status, verbatim from the file:

none-found

mcp_url, verbatim from the file:

n/a

**Command line**

No CLI found by the 2026-09-27 harvest across vendor docs, npm, PyPI, Homebrew and GitHub. That is a probe result, not proof of absence.

**Access gate**

- **Gate bucket**: Gate unknown

- **Can a solo operator reach it**: Not established

api_gate, verbatim from the file:

unknown - priced per user across separate "Practice" and "Perform" licenses with volume/multi-year discounts; no public self-serve number found, and enterprise plans add SSO plus dedicated support, suggesting a sales-led motion.

949 of 1252 entries carry an unknown gate. Unknown is a legal answer and it ships as unknown rather than as a guess.

**API documentation**

No documentation URL recorded.

727 of 1252 entries are in the same position. Blank is legal and it is published as blank.

**GitHub health**

Not measured. github_url, github_stars, github_last_commit and github_archived are null on every entry in this build.

The refresh rail specced in SPEC section 7.2 has not been run. An unstamped star count is a lie, so nothing is shown rather than something stale.

**On GitHub**

[github.com/Hyperbound](https://github.com/Hyperbound) tied to the vendor by rule 3, account website https://hyperbound.ai has the vendor's domain, confidence strong

- **Public repositories**: 0, forks excluded, as read on 2026-09-08
- **Mention MCP**: 0 of them
- **Look like CLIs**: 0 of them
- **Latest push**: not recorded

Kind is a heuristic guessed from the repository name, topics and description, not a fact the vendor stated. A repository count is activity, not a verdict. Read 2026-09-08.

**Jobs it can do**

- [Score rep performance](../jobs/score-rep-performance.md)
- [Run a sales roleplay practice](../jobs/run-sales-roleplay-practice.md)

A job tag means the vendor says the tool does this. It is not a test result, not proof the capability is reachable through the tool's MCP server, and not proof it is available on the gate this entry records.

Tagged by machine-pass on 2026-08-25 against the closed 56 job vocabulary. 271 of 1,252 entries carry at least one tag; 849 tags are assigned in total.

**Sources**

- [https://www.hyperbound.ai/product/ai-sales-roleplays](https://www.hyperbound.ai/product/ai-sales-roleplays)
- [https://www.hyperbound.ai/pricing](https://www.hyperbound.ai/pricing)
- [https://www.hyperbound.ai/uses/ai-cold-call-practice](https://www.hyperbound.ai/uses/ai-cold-call-practice)
- [https://ycombinator.com/companies/hyperbound](https://ycombinator.com/companies/hyperbound)

4 source URLs. Raw sources field, verbatim:

https://www.hyperbound.ai/product/ai-sales-roleplays, https://www.hyperbound.ai/pricing, https://www.hyperbound.ai/uses/ai-cold-call-practice, https://ycombinator.com/companies/hyperbound

**Notes, verbatim from the file**
Listed on the Zoom App Marketplace, Microsoft AppSource, and Salesforce AppExchange as an app/integration - those are marketplace listings, not MCP servers. No MCP server found on GitHub, mcp.so, glama.ai, or pulsemcp.com. [api_gate 2026-08-25] Re-checked and left unknown, honestly: every fetch of the vendor's own site returned HTTP 403 (bot-blocked at the edge) on the homepage, /pricing and /pricing/, so no page could be read. Not a finding about the product, a finding about the fetch. Checked against https://www.hyperbound.ai/pricing. 2026-09-02: re-checked. hyperbound.ai still returns HTTP 403 to fetches (could not fetch https://www.hyperbound.ai/llms.txt (403)); the official MCP registry has no entry and a web search returns only Hyperbrowser and Hyperliquid name collisions. No MCP server found.

**Provenance**

- **Entry id**: 11-hyperbound

- **Source file**: 11-enablement-coaching.md

- **Source line**: 64

- **Tier**: RESEARCHED

- **last_checked**: 2026-09-02

- **Data baked**: 2026-09-27

Every field above is rendered from directory.json exactly as the build produced it. Nothing is summarised and nothing is dropped. The one change made at render time is typographic and it is disclosed on the [methodology page](../methodology.md).
