legal-mcp: Instructions file for Claude Code

CLAUDE.md

legal-mcp CLAUDE.md is an instructions file for Claude Code from Mahender22/legal-mcp. It costs 866 tokens per session, scanned A, original, MIT.

Project instructions for LegalMCP, a server that connects AI assistants to US case law, legal practice management, and federal court filings. The instructions describe its architecture, commands, files, and environment settings.

In plain words
What is it for?
Use them when developing, configuring, testing, or documenting the LegalMCP project and its CourtListener, Clio, and PACER integrations.
Why use it?
They give an agent the project’s required context and operating rules instead of leaving it to infer how the codebase is organized. They also document the services and deployment options involved.

Instructions file for Claude Code

Written for Claude Code: the file is CLAUDE.md.

This is Mahender22/legal-mcp's own configuration. It tells Claude Code how to work on legal-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 legal-mcp configures →

Reuse

Borrowing it

Nothing to install: this file belongs to Mahender22/legal-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/Mahender22/legal-mcp/main/CLAUDE.md
Clone the repo
git clone --depth 1 https://github.com/Mahender22/legal-mcp

Made for: Claude Code.

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Per session 866 This file is loaded in full into every session.
When invoked 866 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 $0.00866 $0.00866
Opus 5.5 $0.00346 $0.00346
Sonnet 5.5 $0.00173 $0.00173
Haiku 4.5 $0.00087 $0.00087

Measured 2mo ago against content hash af939ddcc5f7, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

legal-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 2mo 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 · 69 lines

How it starts

The opening of the file, as written. The whole thing — 69 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Overview

The first comprehensive US legal MCP server connecting AI assistants to case law, practice management, and court filings. 18 tools + 2 resources via FastMCP.

Architecture

  • Framework: FastMCP 3.1.1 (Python)
  • APIs: CourtListener (case law), Clio (practice management), PACER (court filings)
  • Pricing: $79/mo starter, $149/mo pro
  • Deployment: pip-installable, Docker, runs locally or hosted

Structure

legal-mcp/
├── legal_mcp/
│   ├── src/
│   │   ├── server.py          # Main MCP server — all tools registered here
│   │   ├── courtlistener.py   # CourtListener API client (with error handling)
│   │   ├── clio.py            # Clio practice management client
│   │   ├── pacer.py           # PACER federal filings client
│   │   ├── citation_parser.py # Bluebook citation parser
│   │   ├── demo_data.py       # Pre-cached demo results (10 landmark cases)
│   │   └── config.py          # API URLs, env vars, DEMO_MODE
│   └── tests/                 # 33 tests
├── landing/
│   ├── index.html             # Landing page (dark "Chambers" theme)
│   └── api/
│       └── waitlist.py        # FastAPI waitlist backend
├── docs/
│   └── tools.md               # Comprehensive tool documentation
├── .github/workflows/
│   ├── ci.yml                 # Test pipeline (Python 3.10-3.12)
│   └── publish.yml            # PyPI publish on GitHub release
├── Dockerfile                 # Container deployment
├── docker-compose.yml         # Full stack (MCP + waitlist)
├── pyproject.toml             # Package config
├── SETUP.md                   # Credential acquisition guide
├── CHANGELOG.md               # Release notes
├── README.md                  # Marketing-grade README
└── LICENSE                    # MIT

Commands

  • pip install -e ".[dev,waitlist]" — install in dev mode
  • pytest legal_mcp/tests/ -v — run all 33 tests
  • python -m legal_mcp.src.server — run MCP server
  • LEGAL_MCP_DEMO=true python -m legal_mcp.src.server — run in demo mode
  • python landing/api/waitlist.py — run waitlist API on port 8080
  • docker-compose up — run full stack via Docker

Read the full file on GitHub · 69 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. 2mo ago First seen · 69 lines · 866 tokens per session scan A af939ddcc5f7

Subscribe to this mod's changes

legal-mcp CLAUDE.md is an instructions file published in the GitHub repository Mahender22/legal-mcp (68 stars, last pushed 4mo ago), licensed MIT. It adds 866 tokens to every session, about $0.0035 per session on Opus 5.5. 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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