throughline (mkupermann/throughline) is an MCP server listed on the M8ven Trust Index. It scores 74 out of 100, grade C. It declares 9 tools. No publisher has claimed this listing.

Back to MCP Trust IndexM8ven
C
Emerging
74/100
7 days ago

throughline

Source-linked project history for AI work across nine tools. Local PostgreSQL, one-click processing, and per-purpose local, API or CLI models. English/German UI.

→ mkupermann/throughline· listed on github_code

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.

How we verified

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Who stands behind it

mkupermann

Source: github_code

Is this your MCP?

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Install from

GitHub

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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.
✅
Open source with a license and README
Anyone can audit the code, the license is declared, and the publisher documents what it does.
🔐
You'll be asked for 3 credentials: ANTHROPIC_API_KEY, POSTGRES_PASSWORD, OPENAI_API_KEY
These are read from process.env at runtime. Make sure you trust where they’ll be sent.
// 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.
configCLAUDE_PROJECT_DIR
configTHROUGHLINE_PROJECT_SCOPE_STRICT
🔐 secretANTHROPIC_API_KEY
configPGHOST
configPGPORT
configPGDATABASE
configPGUSER
configPGPASSWORD
configPOSTGRES_USER
🔐 secretPOSTGRES_PASSWORD
configPGADMINDB
configTHROUGHLINE_REDACT_PROMPTS
configCLAUDE_DIR
configPGCONNECT_TIMEOUT
🔐 secretOPENAI_API_KEYmakes embedding auto use hosted OpenAI, and enables the OpenAI model backend
configOLLAMA_HOST
configOLLAMA_PORT
configTHROUGHLINE_ANSWER_BACKENDauto (default), ollama, openai
configCLAUDE_BIN
configCLAUDE_MEMORY_BACKUP_DIR
configXDG_DATA_HOME
configTHROUGHLINE_ANSWER_BASE_URLany OpenAI-compatible server, LM Studio, llama.cpp, vLLM, LiteLLM
configTHROUGHLINE_ANSWER_MODELmodel name for that backend
configTHROUGHLINE_AGENT_CALL_DIR
configTHROUGHLINE_WEB_DIST
configTHROUGHLINE_HOST
configTHROUGHLINE_PORT
configTHROUGHLINE_POOL_MIN
configTHROUGHLINE_POOL_MAX
configTHROUGHLINE_REDACT
configTHROUGHLINE_REDACT_PII
configTHROUGHLINE_EXTRACT_MODELper-job model override, when one job wants a bigger model than the rest
configTHROUGHLINE_EXTRACT_SCHEMA
configTHROUGHLINE_TITLE_MODELper-job model override, when one job wants a bigger model than the rest
configAI_PIPELINE_SCRIPT_PATH
configTHROUGHLINE_REFLECT_MODELper-job model override, when one job wants a bigger model than the rest
configTHROUGHLINE_EXPORT_HOST_PATH
// 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

9/9 tools missing one or more hints — search (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); recall_entity (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); write (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint), +6 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.

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 2 concrete improvements we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.
// embed badge in your README
[![M8ven Score](https://m8ven.ai/badge/mcp/mkupermann/throughline)](https://m8ven.ai/mcp/mkupermann/throughline)
Shows your grade and updates automatically. Prefer no grade? Append ?variant=verified to the badge URL.
commit: 66ef4e19ee97fe0336c185cbdabf461e43ca31f8
code hash: 2c23043c10e84d8d64747799f06b2776228338c161d3aefcf156f2296e0b31c5
verified: 9/3/2026, 5:40:58 PM
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