fin-mcp
Verified Safeby Shounak-Ghosh
Overview
Provides an AI-powered multi-agent system to analyze SEC 10-K filings for strategic risks, management tone, and financial summaries, exposed via an MCP server.
Installation
python -m fin_mcp.serverEnvironment Variables
- OPENAI_API_KEY
- SEC_API_KEY
Security Notes
The project uses standard libraries and practices for fetching public data and interacting with LLMs. No 'eval' or obvious malicious patterns found. API keys are handled via environment variables, which is good practice. The primary security considerations would be prompt injection for the LLM agents and proper access control if the MCP server is exposed publicly, which is a general concern for any API. The current setup focuses on local execution for the demo.
Similar Servers
finance-mcp
Finance MCP is an intelligent agent toolkit and MCP server designed for financial research scenarios, leveraging LLMs for deep research, web scraping, and data analysis.
AgentStack
A versatile backend for hosting and orchestrating multiple specialized AI agents and workflows within the Mastra framework, facilitating agent-to-agent (A2A) coordination, code-centric development tasks, knowledge management (notes), and integration with various external services. It supports evaluation of agent performance and policy-driven access control.
Enterprise-Multi-AI-Agent-Systems-
Orchestrates multiple AI agents for complex reasoning and real-time information retrieval, integrating large language models with web search capabilities.
multi-agent-reviewer
A multi-agent system designed to review, analyze, and summarize academic research papers by leveraging LLM-based agents and PDF/ArXiv processing.