wrds_mcp: Instructions file for Claude Code

CLAUDE.md

wrds_mcp CLAUDE.md is an instructions file for Claude Code from marianosalinas/wrds_mcp. It costs 2,452 tokens per session, scanned A, original, MIT.

A set of project instructions for wrds-mcp, a service that provides natural-language access to WRDS financial databases for credit and stock analysis. It documents how to run, test, install, and structure the service.

In plain words
What is it for?
Use it when developing or maintaining wrds-mcp, including its database connection, financial-data tools, guarded SQL queries, and catalog features.
Why use it?
It gives coding agents the project’s commands, architecture, database layers, and safety rules in one place.

Instructions file for Claude Code

Written for Claude Code: the file is CLAUDE.md. Also seen: mentions Claude Code.

This is marianosalinas/wrds_mcp's own configuration. It tells Claude Code how to work on wrds_mcp itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything wrds_mcp configures →

Reuse

Borrowing it

Nothing to install: this file belongs to marianosalinas/wrds_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.

Copy the file
curl -O https://raw.githubusercontent.com/marianosalinas/wrds_mcp/main/CLAUDE.md
Clone the repo
git clone --depth 1 https://github.com/marianosalinas/wrds_mcp

Made for: Claude Code.

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Per session 2,452 This file is loaded in full into every session.
When invoked 2,452 The same file — it is already loaded in full.
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.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.02452 $0.02452
Opus 5 $0.01226 $0.01226
Sonnet 5 $0.00490 $0.00490
Haiku 4.5 $0.00245 $0.00245

Measured 9d ago against content hash a083c3eabb1c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

wrds_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.

CLAUDE.md · 138 lines

How it starts

The opening of the file, as written. The whole thing — 138 lines — stays where its author put it; the contents beside it link to each section on GitHub.

wrds-mcp

MCP server providing Claude Code with natural language access to WRDS financial data for credit and equity analysis.

Quick Reference

  • Run tests: python -m pytest tests/ -v
  • Run server: wrds-mcp or fastmcp run src/wrds_mcp/server.py:mcp
  • Install dev: pip install -e ".[dev]"

Architecture

Three-tier design: curated tools handle domain-specific logic, query_wrds provides guarded SQL access for ad-hoc analysis, and catalog tools enable schema discovery.

src/wrds_mcp/
├── server.py             # FastMCP entry point, mounts 9 sub-servers
├── db/connection.py      # Singleton WRDS connection with retry (3 attempts, exponential backoff)
└── tools/
    ├── _validation.py    # Input validation + DataFrame-to-JSON conversion
    ├── _schema_docs.py   # Static column documentation (~95 WRDS mnemonics)
    ├── catalog.py        # Tier 3: discovery — live catalog, schema introspection, ID resolution (3 tools)
    ├── query.py          # Tier 2: guarded SQL — read-only SELECT with safety validation (1 tool)
    ├── equity.py         # Tier 1: CRSP stock tools — price history, returns, summary (3 tools)
    ├── bonds.py          # Tier 1: TRACE/FISD/bondret — transactions, prices, returns, covenants (6 tools)
    ├── ratings.py        # Tier 1: Credit ratings from bondret + Compustat fallback (2 tools)
    ├── financials.py     # Tier 1: Compustat leverage/coverage/liquidity + composites (6 tools)
    ├── loans.py          # Tier 1: DealScan syndicated loan terms + covenants (2 tools)
    ├── screening.py      # Tier 1: Issuer/bond screening, benchmarks, relative value (4 tools)
    └── comps.py          # Tier 1: Side-by-side comps table (1 tool)

Three Tiers

  1. Tier 1 — Curated Tools (25 tools): Pre-built tools with domain logic (auto-routing, TTM calculations, multi-source resolution). Use these first.
  2. Tier 2 — query_wrds (1 tool): Guarded SQL escape hatch for any metric not covered by Tier 1. SELECT-only, schema-allowlisted, 10K row limit, 30s timeout.
  3. Tier 3 — Discovery (3 tools): get_data_catalog (what data exists), get_table_schema (column metadata + docs), resolve_identifier (ticker → gvkey/permno/issuer_id).

Read the full file on GitHub · 138 lines

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. 9d ago First seen · 138 lines · 2,452 tokens per session scan A a083c3eabb1c

Subscribe to this mod's changes

wrds_mcp CLAUDE.md is an instructions file published in the GitHub repository marianosalinas/wrds_mcp (0 stars, last pushed 6mo ago), licensed MIT. It adds 2,452 tokens to every session, about $0.0123 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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