pk-eli-mcp
MCP server for searching and retrieving Pakistani federal statutes and Supreme Court judgments with structured citations, using static HuggingFace datasets.
README
pk-eli-mcp
<!-- mcp-name: io.github.matematicsolutions/pk-eli-mcp -->
MCP server for Pakistani law: 967 federal statutes and 1,414 Supreme Court of Pakistan judgments, full text, with a strict citation contract on every response.
Pakistan publishes no machine-readable legal API, so this connector is corpus-based: it serves two public HuggingFace mirrors of official sources instead of querying a government endpoint live.
| Collection | Source | Snapshot | License |
|---|---|---|---|
| Federal statutes (967) | Pakistan_Laws_Dataset, collected from pakistancode.gov.pk PDFs (Ministry of Law and Justice) | 2025-01-30 | ODC-BY 1.0 |
| Supreme Court judgments (1,414) | supreme-court-of-pak-judgments | 2024-07-26 | MIT |
Honest limits, stated up front: both collections are static snapshots.
Amendments after 2025-01-30 and judgments after 2024-07-26 are absent, and the
judgment corpus is a subset of the Court's output. Every response repeats this
in dataset_note. Verify currency against pakistancode.gov.pk
and scp.gov.pk before relying on a provision.
Tools
| Tool | What it does |
|---|---|
pk_search_laws |
Keyword search over the 967 federal statutes (title-weighted). First call downloads the 47 MB corpus once, then serves from cache. |
pk_get_law |
Full statute text by law_id (truncated at ~300,000 characters). |
pk_case_search |
Server-side full-text search over the Supreme Court judgments. |
pk_get_decision |
One judgment's full text, by row_idx or registry case_id. |
Citation contract
Pakistan has not deployed ELI. Every response still carries the fleet contract:
eli_uri- a stable, resolvable URL: the canonical pakistancode.gov.pk PDF for statutes, the dataset row URI for judgments. Never invented; seeeli_note.human_readable_citation- e.g.THE PRIVATISATION COMMISSION ORDINANCE, 2000orSupreme Court of Pakistan, Crl.A. 93/2013.source_url- where a human can read the same document.
Install
uvx pk-eli-mcp # or: pip install pk-eli-mcp
Claude Code:
claude mcp add pk-eli-mcp -- uvx pk-eli-mcp
Or drop .mcp.json.example into your project as .mcp.json.
Configuration
| Env | Default | Purpose |
|---|---|---|
PK_ELI_CACHE_DIR |
~/.matematic/cache/pk-eli |
Corpus file + HTTP cache |
PK_ELI_AUDIT_DIR |
~/.matematic/audit |
JSONL audit log (one line per tool call) |
Development
python -m venv .venv && .venv/Scripts/pip install -e ".[dev]" # Linux/macOS: .venv/bin/pip
ruff check src tests
pytest tests/test_instructions_drift.py tests/test_corpus.py # offline
pytest tests/test_smoke.py # live (downloads the corpus)
Governance
Read-only by design: the server can search and fetch, never write. Every tool
call appends an audit line (~/.matematic/audit/pk-eli-mcp.jsonl) with a SHA-256
input hash, duration and status. See CONSTITUTION.md for the rules this
connector is built under and DISCOVERY.md for how the sources were chosen.
License
Apache-2.0 for this code. The datasets keep their own licenses (ODC-BY 1.0 and MIT); the underlying texts are Government of Pakistan public legal documents.
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.