BankWeave

Name: BankWeave
Author: LSUDOKO

by LSUDOKOversion 3.0.1i★ –iComputer or cloud

Registry nameio.github.LSUDOKO/bankweave

Install

Overview

Description from the maker (original English)

Read-only FalkorDB tools for cross-bank AML investigations: rings, money paths, echo-proof claims.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 2 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Computer or cloud
Transport: stdio, Streamable HTTP
Category: Other

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 2 passed Fail
Runs on the maker’s server: what you ask it goes through their server.
The registry lists no key to fill in.

You need

Runs in the cloudNothing to install; it connects over the internet
DockerDocker installed

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Works in Claude on the web, desktop and mobile:

Open Settings → Connectors
Press Add custom connector
Paste the address below and press Add
If it asks you to sign in, sign in with the maker

https://bankweave-api.onrender.com/mcp

Or run it on your computer

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "bankweave": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "ghcr.io/lsudoko/bankweave-mcp:3.0.0"
      ]
    }
  }
}

Run this in your terminal

claude mcp add --transport http bankweave https://bankweave-api.onrender.com/mcp

Or run it on your computer

claude mcp add bankweave -- docker run -i --rm ghcr.io/lsudoko/bankweave-mcp:3.0.0

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "bankweave": {
      "url": "https://bankweave-api.onrender.com/mcp"
    }
  }
}

Or run it on your computer

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "bankweave": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "ghcr.io/lsudoko/bankweave-mcp:3.0.0"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "bankweave": {
      "type": "http",
      "url": "https://bankweave-api.onrender.com/mcp"
    }
  }
}

Or run it on your computer

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "bankweave": {
      "type": "stdio",
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "ghcr.io/lsudoko/bankweave-mcp:3.0.0"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

ChatGPT connects only to servers on the internet:

Open ChatGPT on the web → Settings → Connectors (Apps)
Press Create or Add (some plans need Developer mode under Advanced first)
Paste the address below, give it a name and save
If it asks you to sign in, sign in with the maker

https://bankweave-api.onrender.com/mcp

Menu names can differ slightly by plan and over time.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

The server did not answer when we last checked, so we could not read its tools.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 8, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account LSUDOKO, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
✕ Fail
Endpoint responds
Did not respond within 6 seconds when we checked
– Not applicable
Sign-in with OAuth
Did not respond within 6 seconds when we checked
… Not checked yet
No hidden instructions in tool descriptions
Not checked yet; we read the tool list when we check the endpoint

Compared with others in Otheri

More stars than 0% of the other 18374 servers in this category
Published to the registry more recently than 68% of the other 18374 servers in this category
Basic checks equal to or better than 24% of the other 18374 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is BankWeave safe?

It passed 1 of 2 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

Either way works: install it on your computer or connect to the cloud version.

Is it still maintained?

The GitHub repo last changed –, and the latest version (3.0.1) reached the registry 20 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, Happo

Alternatives

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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

BankWeave

Many banks, one ring, every claim proven.

BankWeave is a team of AI agents that investigates money-laundering alerts across several banks, with FalkorDB as its shared brain. It clears innocent alerts fast, exposes laundering rings that no single bank can see, and backs every conclusion with a graph path you can click through. It also knows how many *independent* reasons it has for each belief, notices when one of them dies, and refuses to file a report it can't prove.

Tracks: 01 Agents That Act on Connected Data (primary), 02 Agent Memory and Coordination, Best blog post
Live deployment: https://bankweave.vercel.app (UI on Vercel) · API https://bankweave-api.onrender.com/docs (Render) · graph: FalkorDB Cloud (ap-south-1)
MCP Registry: published as io.github.LSUDOKO/bankweave (v3.0.0, streamable HTTP)
Use it from Claude: claude mcp add --transport http bankweave https://bankweave-api.onrender.com/mcp, or as a stdio package: claude mcp add bankweave -- docker run -i --rm ghcr.io/lsudoko/bankweave-mcp (17 read-only FalkorDB tools, each returning the Cypher it ran; docs/MCP.md)
Proof in FalkorDB's own browser: screenshots and a recording of the ring, PageRank, card taps, SAR provenance and vector search running on our Cloud instance
Understand it in five minutes: the 3D explainer (eight scenes, each one FalkorDB call) and the graph explorer (twelve presets, run live)
Demo video: watch on YouTube, on the landing page or download the MP4 (narrated, captions burned in): a whiteboard explainer of the problem, the problem film's close, then the live product on FalkorDB Cloud, the hardware edge, MCP and FalkorDB's own browser. Build it yourself: video/build.py --long
Blog post: docs/BLOG.md

Running now on real data. The production instance on FalkorDB Cloud holds IBM's labelled AML transactions for 6 banks: 3,024 accounts, 24,990 transfers, 36 graphs (6 bank graphs, the consortium graph with 10,178 nodes and 37,448 edges, 27 case graphs, agent memory and the typology knowledge base). The agents have triaged 1,208 alerts: 1,113 cleared with a stated reason and 95 escalated into cases, each case with claims, evidence, the Cypher behind every piece of evidence, a provenance-gated report and a signed Merkle seal.

BankWeave is an independent project built for FalkorDB Graph Hacks. It is not a FalkorDB product and is unrelated to FalkorDB's QueryWeaver or Weights & Biases Weave.

The problem

Alert fatigue. Rule-based transaction monitoring flags single signals without context; industry sources put 85-95% of alerts as false positives.
Fragmented visibility. A bank only sees transactions that touch it. Laundering schemes spread across institutions, so each bank's slice looks innocent.
Unprovable reports. A suspicious activity report (SAR) has to justify itself, and today that justification is assembled by hand.

What BankWeave does

Loads IBM's public AMLworld laundering dataset into one isolated FalkorDB graph per bank plus a consortium graph that links them with salted, hashed account ids.
A team of agents (Orchestrator, Triage, Investigator, Skeptic, Reporter with a separate Auditor, Archivist) works the alert queue through a task blackboard stored in the graph, calling native FalkorDB algorithms as tools (also served over MCP).
Innocent alerts are cleared in milliseconds with a reason; suspicious ones become cases, each in its own case_ graph, where claims are linked to evidence and the query that produced it.
A trust layer built from three 2026 papers keeps the agents honest (below).
Humans approve every action. Everything is measured against IBM's labels on a scoreboard.

What's new in 3.0

Area	What you can do	Where
Console	A sidebar listing all fourteen pages with live counts, Ctrl K search over pages and cases, and one card system across every page: stat cards from live queries, status chips, rounded charts	every page
Dashboard	Open cases, alerts decided, independent claims, actions awaiting a human; claim support for the latest cases; the next approval; the agent team; an alert-triage gauge; FalkorDB Cloud latency, graphs and memory	`/command`
Graph explorer	A FalkorDB-browser-style page: pick a graph, write Cypher (`GRAPH.RO_QUERY`, writes rejected by the engine), see an Obsidian-style force graph with labels, hover neighbourhoods and a property panel. Twelve presets, each a FalkorDB feature on our data: cross-bank ring, `algo.pageRank`, `algo.labelPropagation`, `algo.wcc`, `algo.SPpaths`, Double Metaphone full-text, HNSW vector KNN, shared identity, the agents' alert-to-claim chain, a SAR's provenance, the typology KB, learned procedures	`/explorer`
3D explainer	Scroll through eight scenes on a three.js stage: six bank slices and per-graph ACL, hashed ids stitching the consortium, `algo.wcc` clearing an alert, the ring one bank sees 37.5% of, PageRank hub and `algo.SPpaths`, six paths collapsing to four origins, a KYC cascade, a Merkle root signed by a hardware key. Every number comes from the API; each scene shows the Cypher it ran	`/explainer`
Hosted MCP	`claude mcp add --transport http bankweave https://bankweave-api.onrender.com/mcp`: 17 read-only tools (cases, echo-proof claims, money paths, rings, hubs, components, vector and phonetic search, triage, typologies, guarded Cypher), 3 prompts, 2 resources	`/mcp`, docs/MCP.md
Landing	Centred hero over glossy blue bubbles with word-by-word type, the live console rising out of it, a "what's new" bento, the evaluation shown as highlighted screenshots of the live page, the real-tool recordings and the FalkorDB Browser proof	`/`
Real tools, recorded	The ESP32 sketch running in Wokwi posts a real card tap to the live API, and EMVLab decodes the field 55 it printed	Hardware Lab, below

Landing	Dashboard

Graph explorer: cross-bank ring on the consortium graph	3D explainer: the ring as one bank sees it

Graph explorer: `algo.pageRank` hubs (hover focuses one community)	3D explainer: six bank slices, each sees only its own graph

Alert queue	Case workspace

Approvals	Hardware Lab

Proof in the official FalkorDB Browser

The same data the agents use, opened in FalkorDB's own browser (browser.falkordb.com, connected to our FalkorDB Cloud instance: FalkorDB v4.22, 36 graphs, about 81 MB). Every query below is read-only and was typed into the browser; the timings are the engine's own RT readout. The connection bar with the instance hostname is cropped out.

Query	What it proves
Cross-bank ring: the case spanning the most banks, its accounts, banks and transfers (12 nodes, 166 edges, 1.85 ms)	one Cypher query sees the whole ring that no single bank graph contains
`CALL algo.pageRank('Account','TRANSFERS')` top 12 (3.55 ms)	the hub detection the Investigator calls is native GraphBLAS, not Python
`(:Account)-[:CARD_TXN]->(:Terminal)` (5 nodes, 29 edges, 0.41 ms)	the POS/ATM taps, including the one sent from the Wokwi ESP32, are real edges in the consortium graph; the Terminal node carries `POS-MUM-…`, Mumbai, GPS 19.076, 72.8777
`(:SAR)-[:CONTAINS]->(:Sentence)-[:CITES]->(:Claim)-[:SUPPORTED_BY]->(:Evidence)` in `case_C-70431130` (0.61 ms)	every report sentence cites a claim, and every claim rests on evidence: the provenance gate is a graph pattern
`db.idx.vector.queryNodes('Account','behavior_vec',10, …)` (0.36 ms)	HNSW vector search finds behaviour twins at five different banks
Accounts at different banks sharing a `Device` or `IP` (291 nodes, 220 edges, 2.79 ms)	the identity links the consortium uses to join bank slices

Cross-bank ring	`algo.pageRank`

Card taps into terminals (the Wokwi tap included)	The Mumbai POS node and its properties

SAR → sentence → claim → evidence	HNSW vector KNN

Shared devices and IPs across banks	FalkorDB Cloud console: the instance (Free tier, ap-south-1, v4.22.0, healthy)

Hosted MCP, called live (no install, plain HTTP):

$ curl -s -X POST https://bankweave-api.onrender.com/mcp -H 'Content-Type: application/json' \

-H 'Accept: application/json, text/event-stream' \ -d '{"jsonrpc":"2.0","id":1,"method":"tools/list","params":{}}' 17 tools: engine_overview, list_graphs, graph_schema, list_cases, get_case, explain_claim, account_network, trace_money_path, find_rings, top_hubs, connected_components, similar_accounts, search_customers, list_alerts, triage_alert, typology_guidance, run_readonly_cypher

$ ... "method":"tools/call","params":{"name":"top_hubs","arguments":{}} {"graph": "consortium", "result": [{"account": "e8ccd1faa8d3a4ba", "bank": "001", "score": 0.0027...}, ...

The top account matches row 1 of the PageRank query in the FalkorDB Browser above.

What's new in 2.0

Area	What you can do	Where

| Command Center | Live alerts, open cases, independently supported claims, evidence awaiting review, FalkorDB healt

Only the beginning is shown; read the rest in the repo

BankWeave

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

Or run it on your computer

Or run it on your computer

Or run it on your computer

Or run it on your computer

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Otheri

Common questions

Alternatives

Spec Driven Development

Remote Desktop Commander

Happo

README from the maker

BankWeave

The problem

What BankWeave does

What's new in 3.0

Proof in the official FalkorDB Browser

What's new in 2.0