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

mcp server

io.github.barateza/mcp-plesk-dev-docs

An MCP server that indexes and retrieves Plesk documentation.

Description as published by the maintainer. Source

  • version 0.6.0
  • active
  • documentation
  • document understanding

active — Most recent push to the repository was 2026-07-30. 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 2 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 2026-07-30 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 10 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 0.6.0 Latest version string the maintainer published to the registry. as of fetch Model Context Protocol
Registry record last updated 2026-05-27 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 2026-05-27 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

  • VelesDB Memory — last commit 2026-08-06, shares embeddings, rag, vector-database
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  • GrantAi Memory — last commit 2026-03-16, shares rag, vector-database
    Persistent memory for AI agents. Infinite context with sub-millisecond recall.
  • hubmesh — last commit 2026-08-05, shares rag, vector-database
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  • ArcadeDB MCP Server — last commit 2026-08-06, shares vector-database
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  • Citadel — last commit 2026-08-06, shares vector-database
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  • Nordic Financial MCP — last commit 2026-06-04, shares vector-database
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  • ArcadeDB — last commit 2026-08-06, shares vector-database
    Multi-Model database with built-in MCP server for SQL, Cypher, Gremlin, and GraphQL.
  • io.github.bobybarack/sovseal-memory — last commit 2026-08-05, shares vector-database
    Local-first, zero-knowledge AI memory across Claude, Cursor, and every MCP client. 0 RTT reads.
  • io.github.devopam/mcpg — last commit 2026-08-06, shares vector-database
    Production-grade PostgreSQL MCP server — 254 tools for query, tuning & ops, read-only by default.
  • Haypile — last commit 2026-08-04, shares embeddings, rag, semantic-search
    Hybrid search over your local documents, with file and page citations. One binary, fully local.

These share tags the maintainers applied themselves, such as embeddings, rag, vector-database, semantic-search. 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: documentation, embeddings, fastmcp, mcp, model-context-protocol, plesk, plesk-extension, python, rag, semantic-search, vector-database.

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Sources

  1. barateza/mcp-plesk-dev-docs on GitHub — GitHub, observed , trust tier 3.
  2. Official MCP Registry — Model Context Protocol, observed , trust tier 1.