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akil-mcp

v2.5.0

Published

NYC public records for AI agents. Hosted MCP connection metadata for Akil.

Vulnerabilities

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Links

Git

Maintainers

grantsignalgrantsignal

Keywords

mcpmodel-context-protocolnyccivic-datapublic-recordsgovernmentproperty-recordscampaign-financelobbyingprocurementnonprofit

Readme

Akil MCP - New York City Edition

NYC public records for AI agents.

Akil MCP connects Claude, ChatGPT, Codex, and custom agents to a hosted civic data layer built around real workflows, reusable identifiers, and source-backed public records.

The product is the hosted MCP server. This repository is the public connection home for developers and evaluators.

Connect

There is nothing to install for normal use.

MCP endpoint: https://mcp.askakil.ai/mcp

| Client | How to connect | |--------|----------------| | Claude | Add Akil as a custom connector, paste the MCP URL, and sign in when prompted. | | ChatGPT | Use connectors where available, add the MCP URL, and complete the Akil authorization flow. | | Codex | Register Akil as a streamable HTTP MCP server. Developer access can send an API key as a bearer token. | | Custom agents | Use OAuth for user-authorized sessions or API keys for backend jobs and partner workflows. |

Full setup and docs:

What agents can do

Akil is organized around civic workflows rather than a single dataset.

  • Evaluate a business location: permits, licenses, inspections, location context
  • Research a property or building: ownership, deeds, permits, violations, sales, tax records
  • Follow public money: awards, payments, contracts, agency budgets
  • Understand influence: lobbying, campaign finance, legislation, votes, hearings
  • Check an organization: nonprofit registries, audits, funding history, compliance records
  • Ask about a place: address, BBL, district, neighborhood, radius, polygon, or corridor

Why this exists

A general model can reason. Akil gives it records to reason from.

The useful part is not the number of tools. It is that fragmented public records come back with stable identifiers, source context, and next steps an assistant can actually follow.

Anchor-first design

Akil responses are designed to keep agents oriented around durable civic identifiers:

  • BBL for tax lots, buildings, ownership, permits, sales, tax records, and violations
  • EIN for nonprofits, audits, awards, filings, and organization checks
  • Agency for budgets, contracts, payments, rules, hearings, and payroll context
  • District or other boundaries for place-based questions
  • License and application identifiers for regulated businesses
  • Time window for bounded, usable queries

These anchors let an assistant move from one public record system to another without losing the subject of the question.

Example prompts

I am looking at a storefront lease. What public records should I check before signing?
Who owns this building, and are there recent permits or violations tied to the tax lot?
Show public funding, contracts, and payments tied to this organization.
What changed in this council district over the last year?
Is this restaurant, liquor, tobacco, cannabis, or sidewalk-cafe location worth checking more closely?

Public surfaces

About

Akil is built by Akil Ventures, Inc., a Delaware corporation building civic intelligence infrastructure for AI agents.

License

MIT. This public repository documents the hosted MCP server and lightweight connection metadata. The hosted Akil service runs proprietary infrastructure and is not open source.