LQABR MCP HubSpot Server (TNE736/LQABR_MCP) is an MCP server listed on the M8ven Trust Index. M8ven has not graded it: we have no way to read this server ourselves. No publisher has claimed this listing.

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C
Emerging
74/100
10 days ago

LQABR MCP HubSpot Server

Enables AI agents to read from and write to HubSpot CRM using upsert and get lead profile tools, with Google Cloud Run authentication and secret management.

→ TNE736/LQABR_MCP· listed on glama

Emerging. No concerning findings. Grades remain capped until the project builds reputation through adoption. Grades reflect the full trust pyramid: code, verification depth, and reputation. New projects cap at C until adoption is earned.

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Who stands behind it

TNE736

Source: Glama

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Install from

Glama

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// key findings
✅
No credential exfiltration, no sensitive file access, no obfuscation
Static analysis found nothing flowing your secrets to unexpected places.
// environment variables
To run this server yourself, you supply these values. They go in your own MCP client configuration and stay on your machine. The secret label means the value is sensitive, not that the server mishandles it.
configMCP_TRANSPORTEvery flag has an env-var default (, MCP_HOST, PORT,
configMCP_HOSTEvery flag has an env-var default (MCP_TRANSPORT, , PORT,
configMCP_PATH), so the container starts with no arguments — Cloud Run injects
configHUBSPOT_TOKEN_URL
configHUBSPOT_HTTP_TIMEOUT_SECONDS
configHUBSPOT_AUTH_MODE.env carries no secret values — just ,
configHUBSPOT_TOKEN_REFRESH_SKEW_SECONDS
configLQABR_BLOG_PIPELINE_ID
configLQABR_BLOG_STAGE_ID
configHUBSPOT_API_BASE
configHUBSPOT_MAX_RETRIES
configLQABR_ERRORS_DIR
configLQABR_SECRET_BACKENDenv exists as a last resort for offline work or CI.
configLQABR_SECRET_PROJECTand the secret's ID. The token itself is fetched over
configLQABR_SECRET_TTL_SECONDS
configLQABR_BLOG_PIPELINE_LABEL
configLQABR_BLOG_STAGE_LABEL
configLQABR_LOG_TO_FILE
configLQABR_LOG_DIR
Deployment configuration, supplied by whoever hosts the server. Users are not asked for these.
deployPORT
// quality suggestions

Tool annotations

No tools have read-only/destructive annotations

Add readOnlyHint or destructiveHint annotations to every tool so hosts can warn users before invoking.

All four hints declared on every tool

4/4 tools missing one or more hints — upsert_lead_profile (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); get_lead_profile (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); upsert_blog_summary (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint), +1 more. OpenAI's directory rejects tools where any of the four hints are missing or non-boolean.

For every tool, set all four hints (readOnlyHint, destructiveHint, idempotentHint, openWorldHint) to explicit true/false values that match the handler’s actual behaviour.

License file

No license file

Add a LICENSE file (MIT, Apache-2.0, etc.).

Claim the listing to review these findings one by one and send us a correction where you disagree, straight to the team. Claiming also means we tell you when the grade moves, and reach you first if we find anything urgent.

// full audit trail
The findings above are the summary. The full trail, every check we ran, each deduction, the network hosts observed and the dependency advisories, goes to verified publishers, along with an alert whenever a new one lands. Verified publishers can also review each finding and dispute it in one click. Publisher corrections have sharpened several of our checks this month, because the maintainer knows the codebase better than any scanner.
// improvement guidance — verified publishers only
We have 3 concrete improvements we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.
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commit: d178d916cd6bd449f30ea6b07d2b47ee9be922e4
code hash: 02cef5771393041db913d1c7313dea1ac76b62c77601319066ed2ea148481d42
verified: 8/19/2026, 9:20:43 AM
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