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C
Limited view
73/100
16 days ago

jdatamunch-mcp

MCP server for tabular data retrieval that indexes local CSV, Excel, Parquet, and JSONL files once and answers questions via column profiles, filtered rows, server-side aggregations, and joins, drastically reducing token usage for large datasets.

→ jgravelle/jdatamunch-mcp· listed on glama

Limited view. Automated analysis covers part of this stack. Findings reflect what we verified. Grades reflect the full trust pyramid: code, verification depth, and reputation. New projects cap at C until adoption is earned.

Limited view: static analysis for Python is partially covered.

How we verified

Code Verified⚡ Live Monitored: not connected

Verified is a snapshot. Live keeps it current, and builds your track record.

⚡ Connect GitHub → continuous verification on every pushwhy connect →

Who stands behind it

jgravelle

Source: Glama · also listed on github_topic

Is this your MCP?

Claim it to get a verified publisher badge, a free copy of our full audit findings, and direct contact for any high-priority issues we find. Or connect your repo for our deepest verification, Live Monitored: read-only, revoke anytime. What we access →

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Install from

GlamaGitHub

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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: GITHUB_TOKEN, GOOGLE_API_KEY, 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.
configJDATAMUNCH_TOOL_PROFILE
configJDATAMUNCH_DISABLED_TOOLS
configDATA_INDEX_PATH
🔐 secretGITHUB_TOKEN
configJDATAMUNCH_MAX_RESPONSE_TOKENS
configJDATAMUNCH_MAX_ROWS
configJDATAMUNCH_SHARE_SAVINGS
configJDATAMUNCH_META_FIELDS
configJDATAMUNCH_USE_AI_SUMMARIES
configJDATAMUNCH_EMBED_MODEL
🔐 secretGOOGLE_API_KEY
configGOOGLE_EMBED_MODEL
🔐 secretOPENAI_API_KEY
configOPENAI_EMBED_MODEL
configJDATAMUNCH_EAGER_EMBED_IMPORT
configJDATAMUNCH_PERF_TELEMETRY
configJDATAMUNCH_PERF_TELEMETRY_MAX_ROWS
configJDATAMUNCH_SESSION_TOKEN_BUDGET
// 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

40/40 tools missing one or more hints — call_tool (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); index_local (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); index_repo (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint), +37 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.

Tests exist

No test files found

Add tests that exercise each declared tool.

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.
// embed badge in your README
[![M8ven Score](https://m8ven.ai/badge/mcp/jgravelle-jdatamunch-mcp-1cibb0)](https://m8ven.ai/mcp/jgravelle-jdatamunch-mcp-1cibb0)
Shows your grade and updates automatically. Prefer no grade? Append ?variant=verified to the badge URL.
commit: 27dfff88d4de455d076e93d07893bcf09e2ca644
code hash: 45c02dd748364665436ac8ed69cc81061e7ed68eb48ebcbecf5a7d576eaf4cfd
verified: 8/6/2026, 9:09:25 AM
view raw JSON →
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