agentmods.dev

knowledge_catalog

knowledge_catalog is an MCP server for Claude Code from gemini-cli-extensions/data-agent-kit-starter-pack. Its token cost is not measured, scanned A, original, Apache-2.0.

A local toolbox server for Google Cloud Dataplex data catalog, which helps organise and describe data across Google Cloud.

In plain words
What is it for?
Working with the Dataplex knowledge catalog in a selected Google Cloud project.
Why use it?
It provides a project-specific connection for data-catalog tasks without requiring extra server setup.

MCP server for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: mentions Codex; listed in a Claude config.

Part of the dak plugin — 33 skills, 10 MCP servers shipped together

One of 10 entries in .mcp.json upstream. Installing this one merges just its entry into your config; the other 9 are separate, each on its own page.

not rated 217repo changed 1mo ago A scan tokens not measured original Apache-2.0

Good fit Working with the Dataplex knowledge catalog in a selected Google Cloud project.

Compare 6 mcp servers from other repositories ↓
Install with agentmods
npx agentmods add mcp/gemini-cli-extensions/data-agent-kit-starter-pack/knowledge_catalog

Installing this writes the configuration, not the program: `node` runs a file from the repository, so clone it first and make the path in the command match where you put it.

View source ↗ gemini-cli-extensions/data-agent-kit-starter-pack
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Clone the repo
git clone --depth 1 https://github.com/gemini-cli-extensions/data-agent-kit-starter-pack

Installing this writes the configuration, not the program: `node` runs a file from the repository, so clone it first and make the path in the command match where you put it.

Made for: Claude Code.

Or install dak, the plugin that ships this one along with the rest of its 33 skills, 10 MCP servers.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for knowledge_catalog

README.md
[![agentmods](https://agentmods.dev/badge/mcp/gemini-cli-extensions/data-agent-kit-starter-pack/knowledge_catalog/github.svg)](https://agentmods.dev/mcp/gemini-cli-extensions/data-agent-kit-starter-pack/knowledge_catalog)
Your own site
<a href="https://agentmods.dev/mcp/gemini-cli-extensions/data-agent-kit-starter-pack/knowledge_catalog"><img src="https://agentmods.dev/badge/mcp/gemini-cli-extensions/data-agent-kit-starter-pack/knowledge_catalog/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for knowledge_catalog

Your own site · 80×15
<a href="https://agentmods.dev/mcp/gemini-cli-extensions/data-agent-kit-starter-pack/knowledge_catalog"><img src="https://agentmods.dev/badge/mcp/gemini-cli-extensions/data-agent-kit-starter-pack/knowledge_catalog.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session not measured What this adds to a session before it is invoked.
When invoked not measured Not applicable: nothing here is loaded into a session.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Security

Grade A, and why

knowledge_catalog scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.mcp.json · 12 lines

What it actually says

{
  "knowledge_catalog": {
    "command": "node",
    "args": [
      "${PLUGIN_ROOT}/mcp/bin/mcp_proxy_bundle.cjs",
      "https://dataplex.googleapis.com/mcp"
    ],
    "env": {
      "X_GOOG_PROXY_HEADERS": "{\"User-Agent\": \"datacloud.codex\"}"
    }
  }
}
Same file

What else .mcp.json configures

This page is one entry in a file that holds 10. Installing the file brings all of them; each is measured and scanned on its own page.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 1mo ago Changed · -5 lines 76fb42007249
  2. 1mo ago Changed 73b56a8c6e5f
  3. 1mo ago First seen · 17 lines scan A ebe66f14444f

Subscribe to this mod's changes

knowledge_catalog is an MCP server published in the GitHub repository gemini-cli-extensions/data-agent-kit-starter-pack (217 stars, last pushed 8d ago), licensed Apache-2.0. Its token cost is not measured: an MCP server costs its tool schemas, not its config file. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Data and AI
Related

Other mcp servers, from other repositories

Pinecone

Model Context Protocol server for Pinecone - enables AI assistants to interact with Pinecone indexes and documentation. Runs locally from the @pinecone-database/mcp npm package. Needs 1 environment variable to run.

spacehendrix/clauder · not measured

rag-rat

CLI and MCP entrypoint for indexing repositories into local source, graph, history, and memory evidence. Runs locally from the @rag-rat/bin npm package.

cq27-dev/rag-rat · not measured

hubmesh

Centrality-aware GraphRAG retrieval planner — drop-in layer over any vector DB. Runs locally from the hubmesh Python package.

DemigodDSK/hubmesh · not measured

dataset-explorer

Help your AI explore local data using summaries, Pearson correlation, eta squared, and Cramer's V. Runs locally from the dataset-explorer-mcp Python package.

khanarmaghanrasheed-18/MCP-Dataset-Explorer · not measured

mcp-server-deapi

35 AI tools for image/video generation, TTS, transcription, OCR & embeddings via deAPI. Remote server at mcp.deapi.ai.

deapi-ai/mcp-server-deapi · not measured

generate-data-mcp

MCP server for Generate-Data.com — thin proxy to /api/v2/. Runs locally from the generate-data-mcp Python package. Needs 2 environment variables to run.

ns-3e/generate-data-mcp · not measured