Finance Toolkit
by JerBouma
500+ transparent financial methods calculated from raw statements, not third-party endpoints.
Computer or cloud★ 5,496MITUpdated today
Install
Seiche, LiquiLens and Undertow source data
Overview
Description from the maker (original English)
Funding histories, bank filings and settlement data with source receipts, units and capture clocks.
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 1 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: Runs in the cloud
- Transport: Streamable HTTP
- Category: Accounting, finance & tax
Install
Pick the AI app you use, then copy the settings.
Before you install
- Basic checks: 1 of 1 passed
- 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
Which app do you use?
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://api.seiche.info/api/v2/research-data/mcpRun this in your terminal
claude mcp add --transport http financial-source-data https://api.seiche.info/api/v2/research-data/mcpOr copy the settings yourself
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"financial-source-data": {
"url": "https://api.seiche.info/api/v2/research-data/mcp"
}
}
}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.
Or copy the settings yourself
Paste into .vscode/mcp.json in your project
{
"servers": {
"financial-source-data": {
"type": "http",
"url": "https://api.seiche.info/api/v2/research-data/mcp"
}
}
}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://api.seiche.info/api/v2/research-data/mcpMenu 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
We have not read this server’s tool list yet; we check endpoints in rotation.
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 7, 2026
- ✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account beepboop2025, 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
- … Not checked yet
Endpoint responds
Not checked yet; we check endpoints in rotation
- … Not checked yet
Sign-in with OAuth
Not checked yet; we check endpoints in rotation
- … 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 Accounting, finance & taxi
- More stars than 0% of the other 1732 servers in this category
- Published to the registry more recently than 49% of the other 1732 servers in this category
- Basic checks equal to or better than 100% of the other 1732 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 Seiche, LiquiLens and Undertow source data safe?
It passed 1 of 1 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?
It runs in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.
Is it still maintained?
The GitHub repo last changed –, and the latest version (1.1.0) reached the registry 41 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: Finance Toolkit, SolidInvoice, Korea Tax Calculator
Alternatives
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Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
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Install
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.
LiquiLens MCP — the Failure Radar as agent tools
Connect and ask one question
Hosted Streamable HTTP MCP; no local server or API key for public read-only tools. Add the products you need to Claude Code:
claude mcp add --transport http liquilens https://api.liquilens.in/mcpclaude mcp add --transport http seiche https://api.seiche.info/mcp claude mcp add --transport http undertow https://api.seiche.info/undertow/mcp
Try this first: What changed in ESAF Small Finance Bank's NPAs? Cite the filing, reporting period and missing disclosures.
Try it in your browser · Cursor configuration · Codex commands · Free three-product starter kit and skill
For a connected review, ask for institution evidence → funding context → BTC exit estimates, with each source date, coverage gap and limitation kept separate. Client/model costs and fair-use limits may apply. Research calls do not execute trades.
Endpoint: https://api.liquilens.in/mcp (streamable HTTP, no auth, no install)
LiquiLens is the institution-evidence product of LIQUILENS PRIVATE LIMITED, a registered company in India (CIN U62011RJ2026PTC116792). One company, three connected products: LiquiLens investigates institutions, Seiche explains funding conditions, and Undertow examines market liquidity. People and AI agents can follow an exposure across all three while retaining each product's source dates, coverage gaps and research limits. International access does not imply universal market coverage or a shared score.
Read the company and investor story and the shared company profile.
Try it live: liquilens.in/developers · REST catalog: api.liquilens.in/api
LiquiLens is a failure early-warning system for banks and lenders, built on public data with a machine-readable historical-evidence boundary served beside every claim. Anonymous discovery on 11 October 2026 returned MCP 1.8.1 with 24 read-only tools and 5 guided prompts, so an agent reads the same status, eligibility flags and cited record a human sees. The repository contract separately pins MCP 1.8.1 at d6f99bdf2de14e8ef2f29032cf9561ca8a446de8, with 23 read-only tools and 5 guided prompts. The capability tables below describe that pinned source. Discover the hosted endpoint for the current public inventory, including institution_evidence_monitor.
It now reads both ends of the chain: which institutions are fragile, and whether that stress is actually crossing into the real economy: companies rolling paper and drawing credit lines, households falling behind. Channels that cannot be read are named in cannot_see rather than reported as calm.
Add it
For Hermes and OpenClaw, use the native setup guides:
- Hermes: configuration, connection checks and a first research task
- OpenClaw: configuration, discovery checks and a first research task
The current guides select thirteen research tools across LiquiLens, Seiche and Undertow, including GIFT City, reference FX and gold scenarios. Their dated native-client receipts retain the original nine-tool selection and exact verification scope. Public research requires no account or API key; fair-use limits apply and your model provider may charge separately.
The free starter kit also includes a Python brief, a manual n8n funding workflow and configurations for the clients below.
OpenClaw users can also install the optional research instructions from ClawHub:
openclaw skills install @beepboop2025/liquilens-trading-research --version 1.1.0Connect the MCP servers using the OpenClaw guide first. The skill supplies task instructions and a configuration template; installation does not configure servers or run research. Its source bundle is MIT-0; that license does not relicense source data or API responses.
Checked on 4 October 2026 (UTC): version 1.1.0 is public and ClawHub's version-pinned verification result reports a passed security check with a benign, high-confidence verdict. Its embedded detailed scanner report retains seven findings, including medium external-transmission flags for the public MCP URLs, and reports partial analysis. Review the versioned security audit before installation and use public research inputs. Its isolated Linux install recorded the correct version and matched all three reviewed source files. ClawHub's public verifier and the installed Linux client's version-pinned openclaw skills verify now both report pass, with the generated Skill Card present. The upload is unsigned and has no server-resolved GitHub import provenance. A fresh isolated macOS install after storage recovery also matched all three source-file hashes, and its version-pinned verification reports pass. The earlier macOS timeout remains a separate failed attempt. No model or research tool ran in these checks. The direct MCP configuration is available independently of the ClawHub skill.
Claude Code:
claude mcp add --transport http liquilens https://api.liquilens.in/mcp
Codex:
codex mcp add liquilens --url https://api.liquilens.in/mcp
Cursor: merge the remote MCP config into .cursor/mcp.json for one project or ~/.cursor/mcp.json for all projects. The download includes the companion Seiche funding endpoint. Preserve existing entries. For an existing Codex config, use the TOML snippet and merge its server entries into ~/.codex/config.toml.
Claude.ai / ChatGPT: add a custom connector or MCP app with the endpoint above where that feature is available in your workspace.
This repository is the public discovery and documentation mirror. The hosted implementation is maintained in a private core repository. This public mirror pins its inspectable capability contract to the reviewed source revision above. The official Registry entry uses the name io.github.beepboop2025/liquilens. This repository's Registry metadata revision 1.8.1 points to the public mirror and free starter kit. The hosted MCP now reports version 1.8.1 at the same endpoint. The Registry metadata and runtime happen to share a version number; they remain separately verified contracts. The pinned source and tool inventory above describe the current runtime. The existing Registry record continues to identify this public mirror.
The current runtime separates fresh model results from reviewed filing facts: expired filing scores are excluded from the live board, current disclosures retain their official source and publication clocks, and inactive institutions remain identifiable in historical evidence. Its US evidence includes the June 2026 panel and reviewed 2026 failure notices through 25 September.
Query source histories
The separate source-data MCP and Python client expose funding histories, bank filings and Bitcoin/Liquid settlement observations with source receipts, native units and capture clocks. Use the live coverage table or import its OpenAPI contract.
Run a research task
The research recipes run with Python 3.11+ and its standard library. No API key, LLM or Python package install is needed. Download and inspect financial_research.py, then run:
python3 financial_research.py bank-reviewpython3 financial_research.py bank-review --slug cosmos-ucb python3 financial_research.py funding-brief
The first command discovers covered bank slugs. The second checks coverage before retrieving that exact bank's sourced asset-quality history; an absent slug stays not_covered. The funding brief calls Seiche's money-market desk. Returned evidence retains its native source dates, eligibility, unavailable states and limitations; a successful request does not imply fresh or complete evidence. Each run is bounded and performs no scheduling or trading. Operators should add --verification so their checks are labelled synthetic and excluded from adoption totals.
For a visual workflow, download the n8n bank-review workflow and follow the import guide. It uses a manual trigger and no LLM. The guide records its execution-verification status; a downloadable workflow does not imply acceptance into n8n's template library.
Protocol compatibility
2026-07-28: stateless requests useserver/discover, per-request_meta,MCP-Protocol-Version, and mirroredMcp-Method/Mcp-Namerouting headers.2025-11-25,2025-06-18, and2025-03-26: retained legacy initialization, tools, prompts, notifications, batching, and ping behavior.- Tools, prompts, and discovery responses are deterministic. Modern list responses carry public cache metadata.
resources/listandresources/templates/listare supported and currently return empty catalogs.resources/readreturns an explicit not-found error instead of inventing a resource.
Tools
| Tool | What it serves |
|---|---|
bank_asset_quality_review | Exact-slug bank review with sourced GNPA/NNPA history, percentage-point changes, distinct PCR definitions and capital/supervisory scope; no new score or credit approval |
bank_npa_reconciliation | Arithmetic check of a complete caller-supplied NPA movement table; keeps cash recoveries, write-offs, sales and upgrades distinct without authenticating the input |
banking_specialisation_coverage | Discover covered Indian commercial, small finance and urban cooperative banks, with observed, stale, historical and absent evidence distinguished; not a census or rating |
corporate_transmission_board | Is funding stress reaching nonfinancial firms? The commercial-paper market, bank credit lines, real-economy confirmation (claims, capex, inventories, openings, business bankruptcies) and a balance-sheet context channel, with a TRANSMITTING/CONTAINED verdict |
crypto_exposure_board | Cited bank/crypto exposure register joined to Undertow run-risk context; display-only, never an institution score |
crypto_regime_board | Compact BTC/ETH change-point state and its display-only cross-read against disclosed bank exposure |
evidence_europe | NAMED_CASE_FILES_CONSTRUCTION_PIT: seven audited case files, deliberately no cohort claim; both eligibility flags false |
evidence_india | PERIOD_END_PROXY_CONSTRUCTION_PIT: 48 institutions across two decades, misses and false alarms included; both eligibility flags false |
evidence_institution | One Indian institution's construction-PIT crisis replay with sourced quarterly rows |
evidence_markets | Historical-evidence status for all three markets, with validated_backtest_eligible and real_money_eligible served explicitly |
evidence_us | CURRENT_AMENDED_CONSTRUCTION_PIT: 552 FDIC failures since 2008, 72.8% recall, 21.7-month median lead and AUC 0.854; both eligibility flags false |
| `failure_rad
Only the beginning is shown; read the rest in the repo