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.
npx agentmods add instructions/shemreader/mcp-server-datahub/claude-mdgit clone --depth 1 https://github.com/shemreader/mcp-server-datahubWrote 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.
[](https://agentmods.dev/instructions/shemreader/mcp-server-datahub/claude-md)<a href="https://agentmods.dev/instructions/shemreader/mcp-server-datahub/claude-md"><img src="https://agentmods.dev/badge/instructions/shemreader/mcp-server-datahub/claude-md.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00563 | $0.00563 |
| Opus 5 | $0.00282 | $0.00282 |
| Sonnet 5 | $0.00113 | $0.00113 |
| Haiku 4.5 | $0.00056 | $0.00056 |
Grade A, and why
mcp-server-datahub CLAUDE.md 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 3d 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.
This is a copy
92% identical to mcp-server-datahub CLAUDE.md — 5 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 73 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
Project Overview
This is a Model Context Protocol (MCP) server implementation for DataHub. The server provides tools for searching entities, fetching metadata, traversing lineage graphs, and listing SQL queries. It's built using the FastMCP framework and integrates with DataHub's GraphQL API.
Development Commands
See DEVELOPING.md and Makefile for more details.
A quick summary is below:
make setup- Set up development environment (requires uv)make lint- Run ruff formatting, linting and type checkingmake test- Run pytest tests (requires live DataHub instance)make clean- Clean up build artifacts
Testing
- Run all tests:
make test - Single test file:
uv run pytest tests/test_mcp_server.py - Tests require a live DataHub instance with proper authentication
Development Setup
Run the server using MCP inspector for development:
source .venv/bin/activate
mcp dev src/mcp_server_datahub/__main__.py
Architecture
Core Components
-
mcp_server.py: Main server implementation with MCP tools
get_entity(): Fetch entity metadata by URNsearch(): Search across DataHub entities with filtersget_dataset_queries(): Get SQL queries for datasetsget_lineage(): Traverse upstream/downstream lineage
-
GraphQL Integration: Uses GraphQL fragments for efficient queries
gql/search.gql: Search queriesgql/entity_details.gql: Entity metadata queriesgql/queries.gql: SQL query retrieval
-
Client Management: Context-aware DataHub client handling
- Uses contextvars for thread-safe client management
- Supports both DataHub Cloud and on-premise instances
Key Patterns
- All tools return cleaned GraphQL responses (removes
__typenamefields) - DataHub Cloud instances get URL injection for entities
- Filter compilation uses DataHub SDK's
compile_filters() - Lineage traversal supports configurable hop limits (1-3+ degrees)
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.
- 3d ago First seen · 73 lines · 563 tokens per session scan A fe11b3f0ad5d
mcp-server-datahub CLAUDE.md is an instructions file published in the GitHub repository shemreader/mcp-server-datahub (0 stars, last pushed 8mo ago), licensed Apache-2.0. It adds 563 tokens to every session, about $0.0028 per session on Opus 5. A static security scan graded it A with 0 findings. It is 92% identical to mcp-server-datahub CLAUDE.md, differing in 5 lines, and is treated as a copy.
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