argus-climate-risk (Shraddhatodkari/argus-climate-risk) is an MCP server listed on the M8ven Trust Index. It scores 74 out of 100, grade C. It declares 3 tools. No publisher has claimed this listing.

Back to MCP Trust IndexM8ven
C
Emerging
74/100

argus-climate-risk

Auditable physical climate-risk intelligence platform for financial institutions, combining real public climate data, financial exposure, stress testing, RAG, and decision workflows.

→ Shraddhatodkari/argus-climate-risk· listed on github_repo_search

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

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

Shraddhatodkari

Source: github_repo_search

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 →

⚡ Connect GitHub for Live Monitored

Install from

GitHub

The grade above is for the source repository. Registries can serve a different version, so we mark the ones we were not able to read.

// 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 1 credential: ANTHROPIC_API_KEY
These are read from process.env at runtime. Make sure you trust where they’ll be sent.
// tools this server exposes3 tools

These names and descriptions are the publisher's own, read from the source code. We print them as written. Our assessment is the findings above, not this list.

get_hazard_exposure

Return the composite climate hazard score, its flood/drought/cyclone/heat breakdown, and the public-data climate-exposed exposure estimate (in INR crore) for one district. Raises if the district isn't in the current dataset.

list_high_risk_districts

Return every district currently flagged high-risk, sorted by climate-exposed exposure (highest first).

search_regulatory_corpus

Answer a climate-risk regulatory question with a citation into the indexed RBI/BIS/NGFS corpus, or explicitly abstain if nothing relevant is indexed. Never invents a citation that wasn't actually retrieved.

// 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.
configARGUS_LLM_MODE
configOLLAMA_HOST
configOLLAMA_MODEL
🔐 secretANTHROPIC_API_KEY1 skipped, 83% coverage (the skip only runs with a live ;
configANTHROPIC_MODEL
configARGUS_RETRIEVAL_TOP_K
configARGUS_RETRIEVAL_MIN_SCORE
// 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

3/3 tools missing one or more hints — get_hazard_exposure (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); list_high_risk_districts (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); search_regulatory_corpus (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint). 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/shraddhatodkari/argus-climate-risk)](https://m8ven.ai/mcp/shraddhatodkari/argus-climate-risk)
Shows your grade and updates automatically. Prefer no grade? Append ?variant=verified to the badge URL.
commit: 9bb8e9f62b245e771e07b5a1c4c6ba554a1b72a0
code hash: 36f76bccaf702f4aed6fcb8639e0136ebc06ba66c98818a27a9f9bedf608ffbb
view raw JSON →
Check MCPs from inside your assistant
Tool Check · MCP

Vetting this one by hand? Tool Check is an MCP that scores other MCPs. Add it once and ask Claude, ChatGPT, or any MCP client to grade a server, surface CVEs, check the publisher, and suggest safer alternatives — before you install.

https://m8ven.ai/api/mcp/tool-check
check_toolsearch_toolscompare_toolsrecommend_alternativescheck_publisherreport_concern
How to add it →Free · no account needed · works in any MCP client