Borrowing it
Nothing to install: this file belongs to QmQsun/Bloomberg-MCP. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/QmQsun/Bloomberg-MCP/main/CLAUDE.mdgit clone --depth 1 https://github.com/QmQsun/Bloomberg-MCPWrote 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/qmqsun/bloomberg-mcp/claude-md)<a href="https://agentmods.dev/instructions/qmqsun/bloomberg-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/qmqsun/bloomberg-mcp/claude-md/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.
<a href="https://agentmods.dev/instructions/qmqsun/bloomberg-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/qmqsun/bloomberg-mcp/claude-md.svg" alt="Reviewed on agentmods" width="80" 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 | $0.05154 | $0.05154 |
| Opus 5 | $0.02577 | $0.02577 |
| Sonnet 5 | $0.01031 | $0.01031 |
| Haiku 4.5 | $0.00515 | $0.00515 |
Grade A, and why
Bloomberg-MCP 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 9d 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.
How it starts
The opening of the file, as written. The whole thing — 543 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Bloomberg MCP — Project Guide
Data access layer for Bloomberg Terminal via blpapi + MCP (Model Context Protocol). This server exposes Bloomberg data tools to AI assistants via natural language.
Current state: 12 tools, modular structure (PHASE 0 complete). Target state: ~22 tools, full Bloomberg API surface coverage.
Architecture Overview
src/bloomberg_mcp/
├── server.py # FastMCP init + entry point (~89 lines)
├── models/
│ ├── __init__.py # Re-exports all models
│ ├── enums.py # ResponseFormat, EconomicCalendarModeInput, EarningsModeInput
│ └── inputs.py # ALL Pydantic BaseModel input classes
├── handlers/
│ ├── __init__.py # Imports all handler modules to trigger registration
│ ├── reference.py # bloomberg_get_reference_data handler
│ ├── historical.py # bloomberg_get_historical_data handler
│ ├── intraday.py # bloomberg_get_intraday_bars + ticks handlers
│ ├── search.py # search_securities + search_fields + field_info
│ ├── screening.py # run_screen + get_universe + dynamic_screen
│ └── calendars.py # economic_calendar + earnings_calendar
├── formatters.py # _format_security_data, _format_historical_data, etc.
├── utils.py # _expand_fields, _normalize_date, _truncate_response, _get_session
├── core/
│ ├── session.py # BloombergSession singleton (376 lines, solid)
│ ├── requests.py # blpapi request builders using fromPy() (507 lines, solid)
│ └── responses.py # Response parsers using toPy() (416 lines, needs BDS/TA/BQL)
└── tools/
├── reference.py # get_reference_data() — thin wrapper
├── historical.py # get_historical_data() — thin wrapper
├── intraday.py # get_intraday_bars/ticks() — thin wrapper
├── search.py # search_securities/fields/field_info (204 lines)
├── screening.py # run_screen() — BEQS wrapper
├── dynamic_screening/ # DSL system: FieldSet + Filter + DynamicScreen (2,567 lines, mature)
├── morning_note/ # Market data collection system (3,648 lines, Japan-focused)
├── economic_calendar/ # Macro event calendar (874 lines)
└── earnings_calendar/ # Earnings announcements (640 lines)
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.
- 9d ago First seen · 543 lines · 5,154 tokens per session scan A b0b88c88e454
Bloomberg-MCP CLAUDE.md is an instructions file published in the GitHub repository QmQsun/Bloomberg-MCP (17 stars, last pushed 4mo ago), licensed MIT. It adds 5,154 tokens to every session, about $0.0258 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 2026-08-30.
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