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/mctar/mcp-nbim/claude-mdgit clone --depth 1 https://github.com/mctar/mcp-nbimWrote 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/mctar/mcp-nbim/claude-md)<a href="https://agentmods.dev/instructions/mctar/mcp-nbim/claude-md"><img src="https://agentmods.dev/badge/instructions/mctar/mcp-nbim/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 5.1 | $0.00510 | $0.00510 |
| Opus 5 | $0.00255 | $0.00255 |
| Sonnet 5 | $0.00102 | $0.00102 |
| Haiku 4.5 | $0.00051 | $0.00051 |
Grade A, and why
mcp-nbim 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 5d 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.
What it actually says
NBIM MCP Server
MCP server for querying Government Pension Fund Global (GPFG) data from NBIM.
Architecture
- Framework: FastMCP on streamable-http (port 8008) or stdio
- Data sources: NBIM JSON API (
nbim.no/api/investments/v2/) for holdings and fund value; web scraping for returns and exclusions - Caching: In-memory with per-key TTL (holdings: 24h, init: 1h, exclusions: 6h)
- No external credentials required — all data is public
Project structure
mcp_nbim/server.py— FastMCP instance, tool registration, transportmcp_nbim/tools.py— 6 MCP tool functions with formattingmcp_nbim/client.py— NBIMClient (JSON API + web scraping + cache)mcp_nbim/config.py— URLs, TTLs, asset class maps, country names, fallback datamcp_nbim/entry_prompt.py— MCP prompt describing available toolspyproject.toml— Package metadata and entry point
Running
mcp-nbim # streamable-http on port 8008
mcp-nbim --stdio # stdio transport
python -m mcp_nbim # alternative
Tools
nbim_fund_value()— Fund value + asset allocation from init.json NAV datanbim_holdings_search(query, year, country, sector)— Search equity holdingsnbim_top_holdings(n, year, country, sector)— Top N by market valuenbim_country_allocation(year, asset_class, top_n)— Geographic allocation from history APInbim_returns(start_year, end_year)— Annual returns (scraped + hardcoded fallback)nbim_exclusions(query, category, criterion)— Excluded companies (scraped HTML table)
Data notes
- Holdings JSON contains equities only (
at=0). Fixed income requires Snowflake (Phase 2). - The
init.jsonNAV array has values in raw numbers (divide by 1e9 for billions). - History JSON organizes data by country with parallel arrays for years and values.
- Returns scraping parses Highcharts
Date.UTC()patterns from inline JavaScript.
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.
- 5d ago First seen · 44 lines · 510 tokens per session scan A 71ac6344e1e4
mcp-nbim CLAUDE.md is an instructions file published in the GitHub repository mctar/mcp-nbim (0 stars, last pushed 5mo ago), licensed MIT. It adds 510 tokens to every session, about $0.0026 per session on Opus 5. 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 2026-08-31.
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