mcp server
E2LLM
E2LLM gives your AI eyes and hands in a real browser: structured perception (SiFR) plus action.
Description as published by the maintainer. Source
- version 1.5.78
- active
- browser automation
active — Most recent push to the repository was 2026-07-31. Dashed tags are derived by ZBS Index from the published description, not stated by the maintainer.
Signals
These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.
| Signal | Value | What it measures | Window | Observed | Source |
|---|---|---|---|---|---|
| GitHub stars | 3 | Number of GitHub accounts that bookmarked this repository since it was created. It is a bookmark count, not installs, not active users and not quality. | cumulative, all time | GitHub | |
| Last commit | 2026-07-31 | Date of the most recent push to any branch. This is the strongest cheap indicator of whether the project is still maintained. | point in time | GitHub | |
| Open issues | 0 | Open issues plus open pull requests, as GitHub counts them together. A high number can mean an active project or an abandoned one. | as of fetch | GitHub | |
| Latest published version | 1.5.78 | Latest version string the maintainer published to the registry. | as of fetch | Model Context Protocol | |
| Registry record last updated | 2026-07-24 | When the registry record was last updated by its maintainer. | point in time | Model Context Protocol | |
| License | MIT | Licence GitHub detected in the repository. Detection can be wrong; the LICENSE file is authoritative. | as of fetch | GitHub | |
| First listed in the MCP Registry | 2026-07-24 | Date this server was first published to the official MCP Registry. Not a usage or quality measure. | point in time | Model Context Protocol | |
| repository status | active | The repository exists on GitHub and is not archived. This says nothing about how recently it was worked on. | as of fetch | GitHub |
Where to get it
Related, by what their authors tagged them
-
io.github.cdeust/ai-architect-mcp-spec
— last commit 2026-08-04, shares specification
PRD verification and host-driven generation with multi-judge consensus across 17 MCP tools.
-
io.github.cdeust/prd-spec-generator
— last commit 2026-08-04, shares specification
Turns a feature description into a verified 9-file PRD — multi-judge consensus, 17 MCP tools.
-
citrolabs-ego-lite-ego-browser
— last commit 2026-08-06, shares automation, browser
ego-browser (ego-lite) is a Chromium-based browser designed from the ground up to be friendly to both human users and A…
-
ai.smithery/browserbasehq-mcp-browserbase
— archived, last commit 2026-07-20, shares browser
Provides cloud browser automation capabilities using Stagehand and Browserbase, enabling LLMs to i…
-
com.clauxel.browserspendguard/browserspendguard-mcp
— last commit 2026-05-19, shares browser
Approval receipts for AI browser purchases.
-
io.github.browser-gateway/browser-gateway
— last commit 2026-08-04, shares browser
AI browser tools with Chrome CDP. Navigate, screenshot, interact. Multi-provider failover.
-
io.github.browserbase/mcp-server-browserbase
— archived, last commit 2026-07-20, shares browser
MCP server for AI web browser automation using Browserbase and Stagehand
-
io.github.ChristopherDavenport/unblink
— last commit 2026-07-31, shares browser
Pure-Go browser for AI: fetch pages, render JS without Chromium, return clean Markdown over MCP.
-
Chrome DevTools MCP
— last commit 2026-08-06, shares browser
MCP server for Chrome DevTools
-
Amazon Trends API
— last commit 2026-08-03, shares json
Amazon product search volume and best-seller trends. Free key at trendsapi.ai
These share tags the maintainers applied themselves, such as specification, automation, browser, json. Common tags like "mcp" or "ai" are ignored for this: agreeing with six hundred other projects is not a similarity.
This is not a recommendation and not a test result. It is a map of what the authors said their work is about.
How the author describes it
Topics the maintainer set on GitHub: ai-agents, automation, browser, e2llm, json, llm, mcp, mcp-server, sifr, specification.
Bring your own setup
We take apart real AI setups every week and show what broke, what cost too much, and what the trace actually said. If you run agents on real work, that is where the useful conversation is.
Join ZBS AI Practice Lab