fin-copilot-mcp
An enterprise-grade, deterministic multi-agent financial analytics engine that processes natural language financial queries, generates dialect-validated SQL, pulls live market data, and executes a self-healing verification loop before presenting synthesized results.
README
Multi-Agent Financial Analytics Copilot (fin-copilot-mcp)
An enterprise-grade, deterministic multi-agent financial analytics engine built on Anthropic's Model Context Protocol (MCP) and Claude 3.5 Sonnet. The system processes complex natural language financial queries, translates them into dialect-validated PostgreSQL / DuckDB SQL, pulls live telemetry/market data, and executes a self-healing verification loop before presenting synthesized results.
🏗 Architecture & Agent Topology
The system uses specialized, domain-isolated agents decoupled from underlying tools using MCP JSON-RPC protocol standards.
┌─────────────────────────────────────────┐
│ User Query Interface / API │
└────────────────────┬────────────────────┘
│
▼
┌─────────────────────────────────────────┐
│ Orchestrator Agent (Claude 3.5 Sonnet) │
└────────────────────┬────────────────────┘
│
┌───────────────────────────────┼───────────────────────────────┐
│ (MCP Protocol) │ (MCP Protocol) │ (MCP Protocol)
▼ ▼ ▼
┌──────────────────┐ ┌──────────────────┐ ┌──────────────────┐
│ mcp-server-sql │ │mcp-server-stripe │ │mcp-server-market │
│ (PostgreSQL/Duck)│ │ (Billing Specs) │ │ (YFinance API) │
└────────┬─────────┘ └──────────────────┘ └──────────────────┘
│
│ (Execution Error)
▼
┌──────────────────┐
│ Self-Healing │ ── (Retry Stack Trace) ──► [ Orchestrator Agent ]
│ Validation Loop │
└──────────────────┘
🔑 Key Features
- MCP-Native Architecture: Fully decoupled tool servers using standard JSON-RPC over
stdio/ Server-Sent Events (SSE). - Self-Healing Text-to-SQL Loop: Runs deterministic dry-run verification (
EXPLAIN) before execution. Automatically captures AST/syntax errors and feeds stack traces back to Claude for up to 3 repair retries. - Double-Entry Validation: Micro-agent verifying mathematical consistency, row cross-totals, and currency alignment prior to output synthesis.
- Strict Type & Schema Safety: Runtime validation via Pydantic v2 and static type checking with MyPy.
- Cross-Platform Developer Experience: Powers setup, linting, formatting, and testing on Windows (via PowerShell /
py) and Linux/macOS seamlessly.
🛠 Tech Stack
| Component | Technology | Purpose |
|---|---|---|
| LLM / Reasoning | Claude 3.5 Sonnet (anthropic) |
Intent decomposition, tool orchestration, and SQL generation |
| Protocol Layer | FastMCP / Model Context Protocol | Standardized tool/resource encapsulation over JSON-RPC |
| Analytical Engine | PostgreSQL / DuckDB / SQLite | OLAP/OLTP query execution, AST validation, and schema inspection |
| Market Data | Yahoo Finance (yfinance) |
Macroeconomic benchmarks, equity quotes, and volume metrics |
| Configuration | pydantic-settings |
Type-safe environment management and secret handling |
| Developer Tooling | uv / pip, ruff, mypy, pytest |
Hermetic builds, linting, typing, and testing |
📁 Repository Structure
fin-copilot-mcp/
├── .github/
│ └── workflows/
│ └── ci.yml # CI pipeline (lint, type-check, unit & integration tests)
├── config/
│ └── mcp_servers.json # System tool topologies and connection mappings
├── docker/
│ ├── Dockerfile.orchestrator # Production container for agent runtime
│ └── Dockerfile.mcp-server # Container specification for standalone MCP servers
├── src/
│ └── fin_copilot/
│ ├── core/ # Base configuration, logging, exceptions
│ ├── mcp_servers/ # Standalone FastMCP server modules (SQL, Stripe, Market)
│ ├── agents/ # Orchestrator agent logic, prompts, and healing loops
│ └── utils/ # Telemetry and formatting helpers
├── tests/
│ ├── unit/ # FastMCP tool & resource unit tests
│ ├── integration/ # Multi-agent self-healing loop tests
│ └── evals/ # Benchmarks for Text-to-SQL translation accuracy
├── scripts/
│ ├── setup.ps1 # Windows PowerShell setup script
│ └── setup.sh # Linux / macOS bash setup script
├── pyproject.toml # Packaging, dependencies, and linter rules
├── .gitignore # Industry-standard Python ignore rules
├── .env.example # Environment variable template
└── README.md
🚀 Quickstart
Prerequisites
- Python
>= 3.11 - uv or standard
pip - Anthropic API Key (
ANTHROPIC_API_KEY)
Installation & Setup
On Windows (PowerShell):
# 1. Clone the repository
git clone https://github.com/your-username/fin-copilot-mcp.git
cd fin-copilot-mcp
# 2. Run PowerShell Setup Script
.\scripts\setup.ps1
# 3. Configure environment variables
Copy-Item .env.example .env
On Linux / macOS (Bash):
# 1. Clone the repository
git clone https://github.com/your-username/fin-copilot-mcp.git
cd fin-copilot-mcp
# 2. Run Setup Script
chmod +x ./scripts/setup.sh
./scripts/setup.sh
# 3. Configure environment variables
cp .env.example .env
🛡 Security & Guardrails
- Read-Only Database Connections: SQL MCP server limits execution strictly to SELECT statements and dialect dry-runs.
- Token Sandboxing: API keys are isolated within environment settings classes and never exposed across tool execution boundaries.
- Data Masking: Structural masking applied to sensitive financial attributes prior to model context generation.
📜 License
Distributed under the MIT License. See LICENSE for details.
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