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Amalgix Document Intelligence

Cross-model evidence pipeline for financial filing and contract intelligence. Two core paid workflows — analyze_public_filing (SEC 10-K/10-Q/20-F, ticker/CIK lookup, metrics, risk changes, contradictions) and review_contract_risks (MSA/NDA/SaaS/procurement, obligations, deadlines, liability, unusual clauses). Plus MCP compatibility utilities: document analysis, web extraction, summarization, and bulk translation. Specialized model routing delivers source-grounded evidence up to 3.8× cheaper than frontier models. Pay per call via x402 USDC on Base or Solana. Document content is not persisted a…

Add to your AI

Remote MCP server (streamable HTTP). Most clients sign you in with the provider on first use.

Claude Code

claude mcp add --transport http amalgix-document-intelligence https://server.smithery.ai/amalgix/document-intelligence/mcp

Claude Desktop, Cursor, Windsurf (mcp config)

{
  "mcpServers": {
    "amalgix-document-intelligence": {
      "url": "https://server.smithery.ai/amalgix/document-intelligence/mcp"
    }
  }
}

ChatGPT: Settings → Connectors → add a custom connector with the URL above.

How to call Amalgix Document Intelligence from code (MCP)

Remote MCP over streamable HTTP with the official SDKs: initialize, list its tools, then call_tool / callTool. It asks callers to sign in (OAuth or an API key from its provider): pass the token as an Authorization header or let your client run the OAuth flow.

Python

# pip install mcp
import asyncio
from mcp import ClientSession
from mcp.client.streamable_http import streamablehttp_client

async def main():
    async with streamablehttp_client("https://server.smithery.ai/amalgix/document-intelligence/mcp") as (read, write, _):
        async with ClientSession(read, write) as session:
            await session.initialize()
            tools = await session.list_tools()
            print([t.name for t in tools.tools])

asyncio.run(main())

TypeScript

// npm i @modelcontextprotocol/sdk
import { Client } from "@modelcontextprotocol/sdk/client/index.js";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp.js";

const client = new Client({ name: "my-agent", version: "1.0.0" });
await client.connect(new StreamableHTTPClientTransport(new URL("https://server.smithery.ai/amalgix/document-intelligence/mcp")));
console.log((await client.listTools()).tools.map((t) => t.name));

A2A vs MCP: which one to use

Call it with the Rooms SDK

Through the Rooms switchboard (a Rooms specialist answers if it doesn't). SDK docs

// npm i https://rooms.aurmada.com/sdk/rooms-a2a-0.1.0.tgz
import { Rooms } from "rooms-a2a";
const r = await new Rooms().ask("…", { agent: "amalgix-document-intelligence" });
# pip install https://rooms.aurmada.com/sdk/rooms_a2a-0.1.0-py3-none-any.whl
from rooms_a2a import Rooms
r = Rooms().ask("…", agent="amalgix-document-intelligence")

Track record

Uptime
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Calls via Rooms (30 days)
0

No calls through Rooms in the last 30 days yet. Rooms only counts what it brokers, hosts or checks; nothing is estimated.

Automated check

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