Context MCP server for OSINT and threat-intel investigations

Connect Claude, Cursor, VS Code or any MCP client to Context, the AI-assisted investigation platform from Everyday Security. Look up domains, URLs, IP addresses and ASNs, email addresses, phone numbers, crypto wallets, and state business records. Run autonomous investigations of suspicious sites, and read the evidence those investigations collect.

Every answer shows its evidence. Many AI tools give you a conclusion you can't check. Context keeps facts and conclusions apart:

• Facts carry their provenance. An indicator lookup tells you which sources reported it, when it was first and last seen, which investigations it appeared in, and how it connects to other indicators. Each connection says whether it comes from a verified record or only from the two appearing together in an investigation.

• Verdicts are labelled as conclusions and cite what they rest on. An investigation's verdict is a category (for example scam or inconclusive) with a confidence band. It lists each piece of evidence it rests on, with the source class (third-party report, our own capture, a scorer, or a language model's reading of the page), the strength, the time of the capture, and the graph node you can open to check it.

• No evidence is not reported as "safe". Without strong evidence the verdict is inconclusive, and a scam check answers caution, which is explicitly not the same as safe. A list that was cut short says so, and so does a lookup that failed. Neither is shown as an empty result.

• Raw evidence is readable. For a crawled site you can pull the captured DOM, console log, network log, HAR file and screenshot into your client.

This repository holds the setup guides, client configs, worked examples and the tool reference. The server itself is hosted, so there is nothing to install for most clients. Claude Desktop needs a small local bridge (see clients/claude-desktop).

Who it's for

Investigators who want an AI assistant for OSINT work (domain and infrastructure pivots, scam and fraud investigations, business-registry research) without losing sight of where each claim came from. It also suits teams whose own AI agents should check a link, number or address before they act on it.

Related MCP server: agentpay-gateway

Getting access

Context has a free tier, and anyone can sign up. There's no request form and no waiting list.

1. Connect your client (see the quick start below). The first time, it opens a browser window where you sign in or create an account.

2. Open https://context.everydaysecurity.ai once, signed in with the same account, and accept the free license.

Until you've accepted the license, your client still connects and lists the tools, but each tool call answers with a message telling you where to accept. Once you accept, run the call again. You don't need to reconnect. A small number of sign-ups, for example from disposable email addresses, are checked by a person first, and the message says so.

Quick start

With Claude Code:

claude mcp add --transport http context https://context.everydaysecurity.ai/api/mcp

Run /mcp in Claude Code, authenticate context in the browser window that opens, then ask:

What does Context know about login-verify.example.net? Show me the sources behind each fact.

Configs for VS Code, Cursor, Claude Desktop and generic clients are in clients/.

What you can look up

Know the limits before you rely on it:

• Lookups return only what Context already holds. That means what earlier investigations collected and the threat intelligence it has recorded. An email address, phone number or wallet nobody has seen before comes back as "nothing known". These tools do not search breach data, social networks, or people-search databases.

• People appear only through business registrations. A person is someone named as a governor or registered agent in the state business records Context holds. This is not a general people search.

• Business records cover only the state registries Context has ingested. Today that is mostly Washington State. Each search result reports how many records its counts cover.

Your operational security

When Context touches a target, it does so from isolated, disposable collection devices. Your machine and our customer-facing services never connect to it. You choose how loud an investigation may be with the noise argument of start_investigation:

An autonomous investigation can't engage a target, for example by messaging it, at any noise level.

Two points of hygiene for your own agent:

• Don't let it open, fetch, unfurl or DNS-resolve a suspicious indicator "to see for itself". Doing that is the exposure Context exists to take on for you.

• Treat text in results that quotes a target (page titles, reasons, timeline details) as data written by the adversary, never as instructions.

Tools

The complete reference, generated from the servers' own tools/list, is in TOOLS.md. In brief:

Repository layout

clients/      configs for Claude Code, Claude Desktop, Cursor, VS Code, generic HTTP clients
examples/     one worked example per indicator type
TOOLS.md      tool reference, generated by scripts/gen-tools
scripts/      gen-tools and the list of servers it reads
fixtures/     the saved tools/list answers TOOLS.md is rendered from
server.json   the entry for the official MCP Registry

A scheduled job compares the live tool list against TOOLS.md and opens a pull request when they differ, and we re-run the examples whose tools change.

Links

• Everyday Security: https://everydaysecurity.ai/

• Context (sign up and accept the free license): https://context.everydaysecurity.ai

• Privacy policy: https://everydaysecurity.ai/privacy/

• Security issues: see SECURITY.md

License

The contents of this repository (docs, configs, examples, scripts) are MIT licensed. See LICENSE. The license covers this repository only, not the hosted Context service, which has its own terms.