mcp-fin-lab
Production-oriented AI finance platform built with Java 21, Spring Boot, Spring AI, OpenAI, and MCP, combining LLM-powered natural-language interactions, dynamic tool discovery, real-time financial data, and scalable event-driven services.
Install / Use
claude mcp add benudhar03 -- npx -y github:benudhar03/mcp-fin-labIf the server publishes to npm under a different name, use that package instead β check the repo README.
MCP Server
Model Context Protocol server
Quality Score
Category
AI & Machine LearningSupported Platforms
Our assessment of mcp-fin-lab
mcp-fin-lab scores 67/100 on our quality scale, 891st of 945 AI & Machine Learning skills we index.
Its MCP Server is 3.3 KB long, split into 3 sections and no code examples: a solid amount of guidance for an agent.
It has 3 GitHub stars, so there is little community track record yet; judge it on its content.
Maintenance, license and trust
- The repository was last updated about 2 months ago, so mcp-fin-lab is actively maintained.
- Our last check on 2026-09-20 found the source still online.
- No license is declared. By default that means all rights are reserved: you can read it, but reusing or redistributing it is not clearly permitted. Ask the author before building on it commercially.
- Its trust signals score 80/100, with 2 cautions from licensing, adoption, age or documentation. These come from repository metadata, not a code audit β read the skill file before letting an agent act on it.
Safety scan
No issues foundOur scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful.
AI review by kimi-k2.7-code on 2026-10-28. Automated pattern scan on 2026-10-28. It catches known dangerous patterns, not every risk β read a skill before letting an agent act on it.
mcp-fin-lab compared with similar skills
All 4 of these similar skills score higher than mcp-fin-lab; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| mcp-fin-lab (this skill)by benudhar03 | 67 | 3 | 2mo ago | MCP Server |
| claude-memby thedotmack | 100 | 110.2k | today | CLAUDE.md |
| Agent-Reachby Panniantong | 100 | 107.8k | 1d ago | CLAUDE.md |
| Understand-Anythingby Egonex-AI | 100 | 89.7k | 7d ago | CLAUDE.md |
| headroomby headroomlabs-ai | 100 | 78.6k | today | CLAUDE.md |
Frequently asked questions
- How do I install mcp-fin-lab?
- Run
claude mcp add benudhar03 -- npx -y github:benudhar03/mcp-fin-lab. The install tabs above show the steps for each supported agent. - Which AI agents does mcp-fin-lab work with?
- It is written for Claude Code and Claude Desktop, as a MCP Server file. Other agents that read the same format can often use it too.
- Is mcp-fin-lab safe to use?
- Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful. It declares no license and scores 80/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is mcp-fin-lab still maintained?
- The repository was last updated about 2 months ago, so mcp-fin-lab is actively maintained.
Skill content
View source on GitHubFinance AI Platform
An AI-powered financial investigation platform demonstrating Model Context Protocol (MCP), agentic AI, Spring Boot, Python, FastAPI, Spring AI, OpenAI, and PostgreSQL.
The platform separates AI orchestration from financial business capabilities by exposing financial operations through an MCP server.
π Overview
Finance AI Platform is an AI-powered financial system designed to demonstrate how modern backend architecture, LLMs, Python, Java, and the Model Context Protocol (MCP) can work together to build intelligent financial applications.
The platform follows a multi-service architecture where Python is responsible for the AI-facing API layer and Java provides the MCP-based financial capabilities.
The platform currently consists of three primary components:
- Finance MCP Server β Java Spring Boot service that exposes financial operations as MCP tools.
- Finance MCP Client / AI Agent β Java Spring Boot service responsible for interacting with the LLM and dynamically invoking MCP tools.
- Finance AI Agent β Python FastAPI service that provides the external AI/chat API and communicates with the MCP layer.
ποΈ High-Level Architecture
ββββββββββββββββββββββββ
β Client β
β Swagger / UI / API β
ββββββββββββ¬ββββββββββββ
β
β HTTP
βΌ
βββββββββββββββββββββββββββββββ
β Finance AI Agent β
β Python / FastAPI β
β β
β β’ Chat API β
β β’ Request Routing β
β β’ MCP Integration β
βββββββββββββββ¬ββββββββββββββββ
β
β MCP
βΌ
βββββββββββββββββββββββββββββββ
β Finance MCP Client β
β Java / Spring Boot β
β β
β β’ Finance Agent β
β β’ LLM Integration β
β β’ Tool Discovery β
β β’ Tool Invocation β
βββββββββββββββ¬ββββββββββββββββ
β
β MCP
βΌ
βββββββββββββββββββββββββββββββ
β Finance MCP Server β
β Java / Spring Boot β
β β
β β’ Account Tools β
β β’ Transaction Tools β
β β’ Financial Domain Logic β
βββββββββββββββ¬ββββββββββββββββ
β
βΌ
ββββββββββββββββββββ
β Database β
β β
β Accounts β
β Transactions β
ββββββββββββββββββββ
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Languages
Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit β see the Safety scan above for what the skill file itself contains.
