Neta MCP

Ask an AI about any Indian MP and get answers from real parliamentary records, with sources.

"Who raised NEET in Parliament?" · "Give me the report card of my MP from Jorhat." · "Compare Supriya Sule and Gaurav Gogoi." · "Do MPs in safe seats work less?"

Neta MCP is a Model Context Protocol server and web API covering all 540 sitting MPs of the 18th Lok Sabha. It joins three public sources into one dataset:

Parliament data covers 24 June 2024 to 13 August 2026. See data/SOURCES.md for licences, the known gaps and how to rebuild the data.

What makes it different

Most MP trackers show one number per MP. Neta lets you ask what MPs actually talk about and how the numbers relate:

First findings

• A safe seat doesn't make MPs lazier, and a close one doesn't make them work harder. The correlation between winning margin and attendance is −0.03, close to zero. MPs who won by less than 25,000 votes and MPs who won by more than 2.5 lakh both average 88% attendance.

• Median attendance is 90%, but 17 MPs attended fewer than half the sittings. Among MPs whose activity PRS tracks, 18 asked no questions at all.

• 218 of the 478 MPs with affidavit data declared at least one pending criminal case. These are cases the MPs declared themselves, not convictions.

Related MCP server: Abgeordnetenwatch MCP

Built carefully

• Ministers aren't penalised. Ministers (57 of them) and the Leader of Opposition don't sign the attendance register or ask questions. Their activity is marked not tracked, never 0%.

• No wrong matches. Affidavit and election data are attached only when the seat and the person's name both match. By-election winners are detected from their term-start date. For example, at Nanded the son replaced his late father, and their names share two words. Tests guard all of this.

• Every answer carries its sources and caveats, so the AI can cite them.

How it works

You ask a question ──► AI assistant ──► server.py (MCP tools)     ┐
                                                                  ├──► neta/data.py (pandas) ──► data/*.csv
A website / app   ──► api.py (FastAPI, /docs)                     ┘
                                                                      ▲
                       scripts/fetch_*.py ──► scripts/build_dataset.py┘   (PRS · MyNeta · ECI)

Setup (Windows)

cd neta-mcp
python -m venv .venv
.\.venv\Scripts\python -m pip install -r requirements.txt
.\.venv\Scripts\python explore.py       # see the findings
.\.venv\Scripts\python -m pytest        # run the tests

Use it with Claude Code: open Claude Code inside this folder and approve the neta server (configured in .mcp.json). Then ask, for example: "Using the neta tools, who in Bihar raised floods the most?"

Use the web API:

.\.venv\Scripts\python -m uvicorn api:app --reload

Then open http://127.0.0.1:8000/docs to try every endpoint in the browser.

Roadmap

• Real data from PRS, MyNeta and ECI, with sources recorded

• MCP server: report cards, topic search, comparisons, the safe-seat analysis

• FastAPI web API

• A simple website: "find your MP" by PIN code

• Topic trends over time (e.g. how often "unemployment" comes up each session)

• Rajya Sabha and state MLAs

Credits and licence

Code: MIT. Parliament data: PRS Legislative Research (CC BY 4.0). Affidavit data: MyNeta / ADR. Election results: ECI via OpenCity. This project isn't affiliated with any of them.