ZBS Index What actually exists in applied AI, with the source next to it

mcp server

io.github.Bayway/janusmcp

Multi-account tool broker for AI agents — CLI and MCP.

Description as published by the maintainer. Source

  • version 0.5.1
  • active

active — Most recent push to the repository was 2026-08-04.

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 9 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 2026-08-04 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 2 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 0.5.1 Latest version string the maintainer published to the registry. as of fetch Model Context Protocol
Registry record last updated 2026-08-01 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 2026-08-01 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

  • ai.smithery/anirbanbasu-pymcp — last commit 2026-08-03, shares code-execution
    Primarily to be used as a template repository for developing MCP servers with FastMCP in Python, P…
  • Code Sandbox API — last commit 2026-07-31, shares code-execution
    Execute Python, JavaScript, SQL code in a sandbox. x402 micropayment.
  • io.github.declaw-ai/mcp-server — last commit 2026-06-16, shares code-execution
    Secure Firecracker microVM sandboxes for AI agents: network policy, PII & injection guardrails.
  • Kael MCP Server — last commit 2026-03-20, shares code-execution
    16 AI-native tools with dual SSE + streamable-http transport. Free tier available.
  • io.github.alex-odoo/myfinance-mcp — last commit 2026-07-22, shares chatgpt, supabase
    Personal finance by conversation: expenses, receipts, statement import, budgets, net worth.
  • com.thingctx/thingctx — last commit 2026-08-04, shares agent-tools, tool-calling
    Drive devices and APIs from their W3C Thing Description. You gate every operation.
  • KanbanThing — last commit 2026-08-03, shares supabase
    Create and drive KanbanThing kanban boards. No account, no API key, board link required.
  • SuperSkill Registry — last commit 2026-07-31, shares supabase
    Find, inspect and install reviewed reusable AI-agent capabilities from superskill.sh.
  • io.github.365xbusiness/vigo-mcp — last commit 2026-02-24, shares supabase
    AI-powered Hong Kong SFC regulatory intelligence. Bilingual EN/ZH compliance queries.
  • Nutrition MCP — last commit 2026-08-06, shares supabase
    Personal nutrition tracking — log meals, track macros, review history, import from another app.

These share tags the maintainers applied themselves, such as code-execution, chatgpt, supabase, agent-tools. 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: agent-tools, ai, ai-agents, chatgpt, claude, cli, code-execution, cursor, developer-tools, golang, llm, mcp, mcp-broker, mcp-client, mcp-server, model-context-protocol, multi-account, oauth, supabase, tool-calling.

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

Sources

  1. bayway/janusmcp on GitHub — GitHub, observed , trust tier 3.
  2. Official MCP Registry — Model Context Protocol, observed , trust tier 1.