TaxBrainAI MCP

taxbrainai-mcp

A standalone [MCP](https://modelcontextprotocol.io) server exposing 8 tools for Indian personal income-tax work (ITR-1/2/3/4 + post-filing notices). It is built on FastMCP as a thin wrapper over the deterministic taxbrainai-compute engine plus a small statute graph that ships inside the package.

It runs fully offline with no API keys — every tool here is deterministic or an optional bring-your-own-index lookup. There is no LLM call anywhere in this package.

This is the extracted, self-contained MCP surface of the larger TaxBrainAI project.

In the full product, three of these tools are backed by an LLM / vision model and a

hosted case-law corpus; here those halves are replaced by deterministic equivalents

(or made optional), so the package installs and starts with no private backend, no

secrets, and no redistributed third-party data. See "Honesty about each tool" below.

The 8 tools

Honesty about each tool

• Deterministic Decimal compute (1–3): all math flows through the property-tested taxbrainai-compute library (Hypothesis-verified, cross-checked against the official Income-Tax Dept ITR utilities). The server never authors a number.
• Deterministic statute graph (4–5): answered from a vendored snapshot of the 1961↔2025 statute graph (nodes.csv + edges.csv, shipped inside the package).
• Deterministic table / diff (6–7): in the full TaxBrainAI product these are LLM/vision-backed (a model reads the notice / extracts document fields). This standalone server keeps only the deterministic halves — a section/keyword matcher and a field-level reconciliation diff — so no model or key is required.
• Optional retrieval (8): find_case_law needs a case-law index, which is not bundled (third-party data is not redistributed here). It degrades gracefully to an empty result set unless you point it at your own index.

Install

pip install "taxbrainai-mcp[mcp]"     # server + FastMCP SDK

pip install taxbrainai-mcp # tool library only (no SDK; importable + testable)

taxbrainai-compute is a hard dependency and is installed automatically.

Run

# installed console script

taxbrainai-mcp

or the module form

python -m taxbrainai_mcp.server

FastMCP's run() serves stdio by default and also supports Streamable HTTP (build_mcp_server().run(transport="streamable-http")). No API keys are needed.

Optional: enable case-law search

export TAXBRAIN_MCP_CASELAW_INDEX=/path/to/caselaw.jsonl   # JSONL of {"title","court",...}

If your index is derived from Indian Kanoon (indiankanoon.org), attribute it accordingly.

Connect a client (Claude Desktop)

Add to claude_desktop_config.json (mcpServers block):

{

"mcpServers": { "taxbrain": { "command": "taxbrainai-mcp" } } }

If the console script is not on PATH, use "command": "python", "args": ["-m", "taxbrainai_mcp.server"].

Use the tools directly (no MCP SDK)

The tool logic is a plain class — handy for tests or embedding:

from taxbrainai_mcp import TaxBrainTools

t = TaxBrainTools() print(t.compute_tax({"salary_income": 1275000, "regime": "new"})["total_tax"]) # 0 (rebated under Section 87A) print(t.compare_acts("147")["equivalence"])

Registry manifest

server.json is the MCP-registry manifest (schema 2025-12-11), authored as a draft for submission. Its _meta block lists the exact pre-publish checklist (claim/publish the PyPI name, validate against the schema, authenticate the io.github.harshil-projects namespace). The package runs locally over stdio — there is no hosted remote endpoint.

Scope & disclaimer

Covers AY 2026-27 / FY 2025-26 for resident individuals / HUF (ITR-1/2/3/4). This is software for estimation, not tax, legal, or financial advice; verify against the official e-filing utility and a qualified professional before relying on any figure.

License

MIT — see LICENSE. Bundled statute graph data is derived from the text of the Income-tax Act (official statutory text). taxbrainai-compute is MIT-licensed.

mcp-name: io.github.harshil-projects/taxbrainai-mcp