io.github.jdhart81Published by GitHub account jdhart81v0.2.0Updated Nov 2, 2026
California, US, and global climate compliance scans with source-linked deadlines.
The publisher's own server: Energyai
Remote MCP service that scans climate and regulatory rules by jurisdiction, assesses compliance gaps, and builds source-hashed evidence packs.
Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.
Paste this prompt into Claude Code, Codex, Cursor or another agent — or into SourceWeft chat. The agent reads this server's install guide, shows you its publisher, endpoint and sign-in, and adds it to your client once you agree. Keys never go into a command.
Read https://sourceweft.com/mcp/io.github.jdhart81%2Fregulatory-radar/install.md and connect the MCP server it describes to my client. Before changing any config, show me its publisher, endpoint and sign-in method and wait for my OK. Never put an API key in a command or in a file I would commit; ask me where it should come from.Add this to your client's mcpServers config.
{
"mcpServers": {
"regulatory-radar": {
"type": "http",
"url": "https://mcp.viridisconservation.com/regulatory-radar/mcp"
}
}
}Deterministic, auditable MCP agents: trust and settlement rails (identity, trust, escrow, metering, arbitration, notary, surety, provenance, covenant, offsets, compute-ledger) and priced-grade services (tax credits, GHG accounting, construction takeoff, measurement, compliance). Every core is pure Python with no LLM in the serving path, and every result is content-addressed so anyone can re-verify it.
Licensed Apache-2.0. Run any agent yourself, fork it, embed it.
https://mcp.viridisconservation.com runs all agents as one managed MCP service:
Free tier: 10 calls/day per service; the rails (identity, escrow, metering…) are free forever. Verification is always free.
Agents and LLM tools can start from llms.txt, a generated index of every agent, and AGENTS.md, the rules for using and changing the fleet.
Building agents for conservation or energy work? VergeCommon and EnergyAI MCP also expose MCP tools, and ViridisOS serves its decision functions to agents over MCP.
This project is one of a connected set of open tools from Viridis. Each stands on its own; together they run from field evidence to checked decisions.
Conservation commons
Verifiable science
Agent tools
Browse every project on the Viridis profile. If this one is useful to you, a star helps other people find it.
This repo contains agent cores, MCP adapters, tests, standards and self-host tooling. The hosted service layer (gateway, payment and settlement, seats, signing authority, operations, telemetry and customer data) is proprietary and is not in this repo. Please don't open PRs that add it.
"Viridis", "Viridis Conservation" and the Viridis marks are trademarks of Viridis LLC; see TRADEMARKS.md.
Source: README.md at commit 350712c
Scan a jurisdiction (e.g. EU, US, california, or CA for Canada), optionally filtered by sector. Returns regulations with urgency flags and effective dates. Price: $0.25 per call after 10 free calls/day. Pay at /x402/regulatory-radar/scan_regulations with Base USDC, cash-fund payment_ref through escrow_checkout + confirm_escrow_funding, or use /seats.
sectorrequest_idpayment_refjurisdictionrequiredAssess a company's compliance posture against applicable regulations. Returns compliance level, percentage, gaps, and remediation priorities.
sectorrequiredrequest_iddisclosurespayment_refcompany_namerequiredjurisdictionrequiredWatch curated regulatory effective dates and deadlines in a bounded window. `since_days` controls both recently effective dates behind today and effective/deadline dates ahead of today. This is a source-linked watch over the curated Viridis dataset, not a live external regulatory feed.
topicsrequest_idsince_dayspayment_refjurisdictionrequiredBuild a live, source-hashed regulatory change evidence pack. Fetches only the product's registry-owned regulator URLs, reports source retrieval timestamps and SHA-256 hashes, distinguishes a first baseline from a detected change, emits a bounded text diff on later changes, and combines the evidence with a curated deadline calendar. Screening only; confirm legal applicability with the cited authority or qualified counsel.
topicssince_dayssource_idsjurisdictionrequiredcompany_profilepersist_snapshotFleet-standard self-description: capabilities, inputs, outputs.
Takes no parameters.
100% of the applicable checks met
How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.
com.energyaisolutionOfficial publisher
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pip install -r requirements-dev.txtpython3 agent-escrow-agent/adapters/mcp_server.py # stdio MCPpython3 run_fleet_tests.py # every agent's invariant tests