# Luster: MCP server status, API access gate and what it does > "Predictive Enablement" platform combining AI cold-call/objection-handling roleplay drills with live-call... 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.* --- [Directory](../index.md) / [Enablement & Coaching](../categories/enablement-coaching.md) / Luster # Luster [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: [luster.ai](https://luster.ai) · entry id 11-luster · source 11-enablement-coaching.md line 83 **What it does** "Predictive Enablement" platform combining AI cold-call/objection-handling roleplay drills with live-call signal analysis to flag rep skill gaps before they show up in real deals. **AI features, separated from automation with an AI label on it** Genuinely AI: AI-generated coaching feedback delivered after every practice session and real call, described as personalized and consistent with the org's sales methodology; roleplay scenarios simulate real buyer interactions without a manager present. The "predictive" skill-gap forecasting layer that connects roleplay performance to live-call signals is a vendor differentiator claim that could not be independently verified. **RevOps role** Practice-plus-prediction layer meant to sit between roleplay drills and live-call intelligence, flagging which reps need targeted coaching before a real deal call. **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 - no pricing or tier information published at all; site routes all interest to "Get Started"/"Get in Touch" contact forms. 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/LusterAI](https://github.com/LusterAI) tied to the vendor by rule 3, account website www.luster.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.luster.ai/ai-coaching](https://www.luster.ai/ai-coaching) - [https://www.luster.ai/proactive-practive-and-roleplay](https://www.luster.ai/proactive-practive-and-roleplay) - [https://www.exec.com/learn/luster-ai-vs-fullyramped](https://www.exec.com/learn/luster-ai-vs-fullyramped) 3 source URLs. Raw sources field, verbatim: https://www.luster.ai/ai-coaching, https://www.luster.ai/proactive-practive-and-roleplay, https://www.exec.com/learn/luster-ai-vs-fullyramped **Notes, verbatim from the file** No MCP server found on GitHub, mcp.so, glama.ai, or pulsemcp.com. No public pricing at all - the least commercially transparent tool in this file's roleplay cluster. [api_gate 2026-08-25] Re-checked and left unknown, honestly: no pricing page exists (/pricing 404s on both www and apex) and the homepage nav and footer contain no pricing, API, developer or docs link - only Get in Touch and Contact Us - with no statement anywhere about API access. Checked against https://www.luster.ai/. 2026-09-02: re-checked luster.ai (no llms.txt), the official MCP registry (no entry) and a web search; no MCP server found. **Provenance** - **Entry id**: 11-luster - **Source file**: 11-enablement-coaching.md - **Source line**: 83 - **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).