Finance and payments · MCP server
Datavidence Financials: MCP server, setup and security
Datavidence Financials is an open-source MCP server published on GitHub that lets an AI agent retrieve US financial statements and inspect their historical restatement records. Its repository has 0 stars and its last commit is from October 4, 2026 and it is licensed under MIT.
| Adoption (stars) | 0/40 | |
|---|---|---|
| Maintenance | 30/30 | |
| Framework (licence, registry, official) | 30/30 |
What Datavidence Financials does
According to its repository: “Normalized US-GAAP statements for every SEC XBRL filer: point-in-time (as-originally-reported) figures, restatement history and EDGAR source links.”
The Model Context Protocol (MCP) is a standard plug between an AI agent and an outside service: once the server is connected, its tools show up in the agent, which decides when to call them. Datavidence Financials is listed under Finance and payments, a category of 202 servers in the directory, where it ranks #183 by stars.
Topics declared by the repository: ai-agents, edgar, finance, financial-data, financial-statements, fundamentals.
Installing and connecting Datavidence Financials
Distribution modes declared in the official MCP registry:
- PyPI package (Python, started with
uvxorpip)
It works with any MCP-compatible client (Claude Desktop, Claude Code, Cursor, VS Code, Codex and most recent agents). You add one entry to the client's MCP configuration: server name, start command or URL, environment variables. Project language: Python. Listed systems: macOS, Windows, Linux.
The registry lists one secret variable to provide (API key, access token). Keep them in the client's environment variables, never in a shared file or a repository.
Security: what to check
Connecting an MCP server means installing software that talks straight to your agent: it runs with your rights and the model trusts its tool descriptions. The risk therefore depends on what it can touch and how far its code can be trusted.
Points found for Datavidence Financials:
- Secrets: the server acts with your credentials. Create a dedicated key with minimum rights and an expiry date.
Good practice: grant only the rights needed (least privilege), require human approval for irreversible actions, and run the AI agent security check.
Project activity and maintenance
Created on September 17, 2026, the datavidence/datavidence-financials-mcp repository has 0 stars and 0 forks, with 0 open issues. It has more stars than 4% of the servers in the directory. It received changes this month. Version published in the registry: 0.1.5 (September 24, 2026).
Stars measure attention, not quality: a recent, heavily promoted project can collect them fast, while a useful but niche server will have few.
Verdict
Datavidence Financials is a reasonable choice; check the points below before connecting it.
Strengths
- Maintained by the service's own vendor
- Active project: recent commit
- Listed in the official MCP registry
- Permissive licence (MIT)
Limitations
- Requires an API key or token
- Few visible users
Avoid if…
- You do not want to give credentials to an agent
Alternatives
- TradingMCP5.1K ★
- Finance Toolkit5.5K ★
- Tradememory protocol1.4K ★
- Tapetide Indian Stock Market MCP141 ★
- DexPaprika113 ★
- CNEquity846 ★
Learn more
Frequently asked questions
How do I install Datavidence Financials?
Datavidence Financials is distributed as PyPI package (Python, started with uvx or pip). Add it to your client's MCP configuration (Claude Desktop, Cursor, VS Code…) following the README of datavidence/datavidence-financials-mcp.
Is Datavidence Financials free?
The code is published under the MIT licence and can be used free of charge. It needs an API key: the service it connects to may be paid.
Is Datavidence Financials safe?
Points to watch: secrets. Give it minimum rights and approve sensitive actions.
Is it an official server?
Yes: the awesome-mcp-servers list marks it as the service vendor's official implementation.
What are the alternatives to Datavidence Financials?
In the same category: TradingMCP, Finance Toolkit, Tradememory protocol, and Tapetide Indian Stock Market MCP. TradingMCP and Finance Toolkit score higher on our grid.
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