AI · alternatives · 2026
24 alternatives to A local-first financial auditor using IBM Granite, MCP, and SQLite
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A local-first financial auditor built with IBM Granite and SQLite, designed to run entirely on a user's device without cloud dependency. It uses the Model Context Protocol (MCP) to integrate with local financial data… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.
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Explorium MCP▲472Integrate B2B data to any LLM in minutes
2025 · mcp-playground.explorium.ai · its alternatives →
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Some technical context on what we ran into building this. MCP tools don't really work for financial data at scale. One tool call for five years of daily prices dumps tens of thousands of tokens into the context window. And data vendors pack dozens of tools into a single MCP server, schemas alone can eat 50k+ tokens before the agent does anything useful. So we auto-generate typed Python modules from the MCP schemas at workspace init and upload them into the sandbox. The agent just imports them like a normal library. Only a one-line summary per server stays in the prompt. We have around 80…
Apr 2026 · github.com · its alternatives →
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We just released an MCP server that lets Claude (or any MCP client) pull real-time and historical financial data: equities, options chains, crypto, FX, commodities, fundamentals, economic indicators, and 50+ technical signals. You can ask things like: “Plot NVDA’s RSI vs AMD’s over the past year.” “Show the yield curve shift since 2020.” “What are Apple’s recent earnings surprise trends? “Make a 3-statement model for ORCL.” Claude runs the requests, does the math, and returns the data or generates charts/models all inside the chat. Setup takes about a minute. You’ll need Claude Pro…
Nov 2025 · mcp.alphavantage.co · its alternatives →
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Ray▲293I've been using this daily for 4 months and figured others might find it useful. This is my first open source project so would love any feedback. Ray connects to your bank via Plaid, stores everything in an encrypted local SQLite database, and lets you ask questions about your finances in natural language. No cloud, no account, your data is stored on your machine. Before anything reaches the LLM, all PII is stripped — your name, companies, transaction details are redacted and replaced with tokens, then rehydrated locally in the response. The AI never sees who you are.
Apr 2026 · rayfinance.app · its alternatives →
- 5AM
Hey all - I work at Vantage, a FinOps platform. I know AI is peak hype right now. But it has definitely changed some of our dev workflows already. So we wanted to find a way to let our customers experiment with how they can use AI to make their cloud cost management work more productive. The MCP Server acts as a connector between LLMs (right now only Claude, Cursor support it but ChatGPT and Google Gemini coming soon) and your cost and usage data on Vantage which supports 20+ cloud infra providers including AWS, Datadog, Mongo, etc. (You have to have a Vantage account to use it since it's…
2025 · its alternatives →
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I'm Mike, Head of Eng/Product at Alloy Automation. We built MCP by Alloy Automation to give your AI agents structured access to business-critical systems without the integration headache. We've built MCP servers covering thousands of tools across platforms like Quickbooks, Xero, Notion, HubSpot, and Salesforce. Pick the tools you need, provision a server, and ship faster. Need more control? Our Connectivity API gives you programmatic access to all the same tools for custom integrations beyond MCP. Everything runs with scoped auth utilizing our battle-tested credential management system…
2025 · ai.runalloy.com · its alternatives →
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Connect Your AI to Institutional-Grade Market Intelligence Plug any AI client, from ChatGPT to custom agents, directly into our financial data engine. Get real-time stock prices, fundamentals, institutional trading insights, and other financial data delivered through a universal Model Context Protocol (MCP) server.
Sep 2026 · financialdata.net · its alternatives →
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Immutable, scalable, and easy to use ledger service. - hoophq/sequence
2020 · github.com · its alternatives →
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Create, backtest, and execute trades directly in Claude.
2025 · github.com · its alternatives →
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A simply budget app that predicts where the expenses are being made - victorqribeiro/budget
2018 · github.com · its alternatives →
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An OKF-backed Model Context Protocol (MCP) server delivering persistent long-term memory and SQLite FTS5 search for AI agents. - fellowgeek/mcp-memory
Aug 2026 · github.com · its alternatives →
- 12OS
Large Language Models (LLMs) are powerful, but they’re limited by fixed context windows and outdated knowledge. What if your AI could access live search, structured data extraction, OCR, and more—all through a standardized interface? We built the JigsawStack MCP Server, an open-source implementation of the Model Context Protocol (MCP) that lets any AI model call external tools effortlessly. Here’s what it unlocks: - Web Search & Scraping: Fetch live information and extract structured data from web pages. - OCR & Structured Data Extraction: Process images, receipts, invoices, and handwritten…
2025 · its alternatives →
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We built a local-first, private, multi-currency, double-entry based personal finance app. It will help you track, visualize, and plan your financial journey. Use the `Try demo` button, to try it without an account. Small screens (mobiles) are not supported yet. By local-first we mean, your data is on your system (we use sqlite over opfs, in browser). For synching across devices, the data is encrypted with your key before it leaves your device. You can backup the data locally (if you are using chrome) and/or to your dropbox. It's designed so that we (the people building it) can't access…
Nov 2025 · finbodhi.com · its alternatives →
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SpendKeep▲27The Privacy-First Expense Tracker. No Bank Login Required.
Jul 2026 · spendkeep.com · its alternatives →
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Hi HN, my name is Philip, I’m the co-founder of Glasskube and one of the creators of HyprMCP. This project started when we did what everyone was doing — building a remote MCP server and launching it. Building the first local MCP server for testing was quite simple, and we had our first tools ready within a day. The next step was turning that into a production-ready remote MCP server. As we exposed the MCP server to our users, we wanted to authenticate them with our existing authentication methods. We dove deep into authentication. Our approach was to build an auth proxy and plug it in front…
2025 · github.com · its alternatives →
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Hey HN, I’m Austin, founder of Salestrics (salestrics.com). The Problem: > Most AI agents today are trapped in chat windows. While models are smart enough to run complex multi-step workflows, giving them production access to business context (CRM, support, billing) usually means managing unsafe local API keys or hacking together fragile point-solution scripts. What We Built: We built Salestrics to serve as both an all-in-one revenue workspace (CRM, service desk, billing, docs, email) and a production-grade Model Context Protocol (MCP) execution proxy. How It Works: Unified Context: Instead…
Aug 2026 · salestrics.com · its alternatives →
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Got tired of every MCP example being overly verbose, or needing Docker or Mac-only scripts, so I threw together MCP-123. Point it at a tools.py, run `server.run_server(...)`, and the client auto-discovers/calls functions with OpenAI. I hope this is useful to you all.
2025 · github.com · its alternatives →
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Hey HN! Today I'm launching Pane, a tool that gives AI context on your financial data. Once connected, any MCP-compatible client (Claude, Cursor, ChatGPT, etc.) can answer questions like: - "What did I spend on food this month?" - "What's my net worth right now?" - "Show me my recurring subscriptions" - "How much do I owe across all credit cards?" - "What are my investment holdings?" It's been really transformative in helping me and some of my friends understand their finances, where they are overspending, or even being double billed in some cases. I'm very aware that this is a somewhat…
Mar 2026 · pane.money · its alternatives →
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A while back, I built a simple app to track stocks. It pulled market data and generated daily reports based on my risk tolerance. Basically a personal investment assistant. It worked well enough that I kept going. Now, the same framework helps me with real estate: comparing neighborhoods, checking flood risk, weather patterns, school zones, old vs. new builds, etc. It’s a messy, multi-variable decision—which turns out to be a great use case for AI agents. Instead of ChatGPT or Grok 4, I use mcp-agent, which lets me build a persistent, multi-agent system that pulls live data, remembers my…
2025 · github.com · its alternatives →
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Run Lanes Link as your own personal context MCP: your accounts, memory, skills and secrets behind one endpoint you host, reachable by every AI agent you use.
Sep 2026 · lanes.sh · its alternatives →
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One MCP▲13Hey HN, I’ve been experimenting with how LLMs can dynamically use large sets of tools without needing to preload them all into context - and built one-mcp to explore that idea. one-mcp is an open source MCP server built with FastAPI that acts as a semantic index + dynamic loader for API tools. Instead of hardcoding or embedding every tool spec in an LLM session (which quickly blows up context size and costs), one-mcp lets the model search, load, and execute tools on demand — using embeddings and natural language queries. What it does: - Semantic Search for Tools: Query your API catalog with…
2025 · github.com · its alternatives →
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Personal Finance, Powered by AI and Proven by Math
Jun 2026 · sarveshtalele-personal-finance-mcp.hf.space · its alternatives →
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Re-usable Playbooks for AI Agents, built on MCP.
2025 · director.run · its alternatives →
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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →