Environment and nature · MCP server
DeepPVMapper: MCP server, setup and security
DeepPVMapper is an open-source MCP server published on GitHub that lets an AI agent query rooftop solar detections across France using natural language requests. Its repository has 37 stars and its last commit is from October 23, 2026 and it is licensed under MIT.
What DeepPVMapper does
According to its repository: “Open registry of 1.14M+ rooftop-solar detections across France (96 départements), queryable by natural language via a public Streamable HTTP endpoint. No install required.”
The Model Context Protocol (MCP) is a standard plug between an AI agent and an outside service: once the server is connected, its tools show up in the agent, which decides when to call them. DeepPVMapper is listed under Environment and nature, a category of 4 servers in the directory, where it ranks #1 by stars.
Topics declared by the repository: deep-learning, deeplabv3, inception-v3, large-scale, machine-learning, mapping.
Installing and connecting DeepPVMapper
Distribution modes declared in the official MCP registry:
- remote server (streamable-http): you connect to it by URL, with nothing to install locally
It works with any MCP-compatible client (Claude Desktop, Claude Code, Cursor, VS Code, Codex and most recent agents). You add one entry to the client's MCP configuration: server name, start command or URL, environment variables. Project language: TypeScript.
Security: what to check
Connecting an MCP server means installing software that talks straight to your agent: it runs with your rights and the model trusts its tool descriptions. The risk therefore depends on what it can touch and how far its code can be trusted.
None of the risk signals we track (system access, secrets, missing licence, abandonment) applies to DeepPVMapper. That does not replace reading the code.
Good practice: grant only the rights needed (least privilege), require human approval for irreversible actions, and run the AI agent security check.
Project activity and maintenance
Created on November 15, 2021, the gabrielkasmi/deeppvmapper repository has 37 stars and 4 forks, with 10 open issues. It has more stars than 47% of the servers in the directory. It received changes this month. Version published in the registry: 0.1.0 (September 25, 2026).
Stars measure attention, not quality: a recent, heavily promoted project can collect them fast, while a useful but niche server will have few.
Verdict
DeepPVMapper is a reasonable choice; check the points below before connecting it.
Strengths
- Active project: recent commit
- Listed in the official MCP registry
- Usable remotely, without installation
- Permissive licence (MIT)
Alternatives
Learn more
Frequently asked questions
How do I install DeepPVMapper?
DeepPVMapper is distributed as a remote server. Add it to your client's MCP configuration (Claude Desktop, Cursor, VS Code…) following the README of gabrielkasmi/deeppvmapper.
Is DeepPVMapper free?
The code is published under the MIT licence and can be used free of charge.
Is DeepPVMapper safe?
No risk signal found (system access, secrets, licence, abandonment). As with any MCP server, keep rights minimal and read the code before sensitive use.
Is it an official server?
Nothing says so: it is a project published by gabrielkasmi on GitHub. Check who maintains it before giving it access.
What are the alternatives to DeepPVMapper?
In the same category: Agentic swmm workflow, Ambee MCP, and Agentic MIKE Plus.
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Neutrality. No affiliate links. No vendor pays to be reviewed, rated or ranked. Reviews are directed by François Chollet, neutral and factual, and every data point is dated and sourced. How we score