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Finance and payments · MCP server

Invinoveritas: MCP server, setup and security

Invinoveritas is an open-source MCP server published on GitHub that lets an AI agent reason and exchange agent services with Bitcoin Lightning usage payments. Its repository has 6 stars and its last commit is from October 19, 2026 and it is licensed under Apache-2.0.

Actively maintained

What Invinoveritas does

According to its repository: “AI reasoning, decisions, persistent memory and an agent marketplace paid per use via Bitcoin Lightning, where agents sell services and message each other.”

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. Invinoveritas is listed under Finance and payments, a category of 202 servers in the directory, where it ranks #147 by stars.

Topics declared by the repository: agent, ai-agents, anthropic, bitcoin, bolt11, claude.

Installing and connecting Invinoveritas

No package or remote server is declared in the official MCP registry: you install it from source, following the repository README.

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: TypeScript.

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.

None of the risk signals we track (system access, secrets, missing licence, abandonment) applies to Invinoveritas. That does not replace reading the code.

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 May 15, 2026, the babyblueviper1/invinoveritas repository has 6 stars and 1 forks, with 2 open issues. It has more stars than 17% of the servers in the directory. It received changes this month.

Stars measure attention, not quality: a recent, heavily promoted project can collect them fast, while a useful but niche server will have few.

Finance ToolkitFinance Toolkit : 5.5K5.5KTradingMCPTradingMCP : 5.1K5.1KTradememory protocolTradememory protocol : 1.4K1.4KCNEquityCNEquity : 846846Metatrader MCP serverMetatrader MCP server : 837837EVMoleEVMole : 473473OpenAccountantsOpenAccountants : 460460AkTools MCP ServerAkTools MCP Server : 391391InvinoveritasInvinoveritas : 66
GitHub stars of the most followed servers in the category (log scale); Invinoveritas in orange. Checked October 25, 2026.

Verdict

Invinoveritas is a reasonable choice; check the points below before connecting it.

Strengths

  • Active project: recent commit
  • Permissive licence (Apache-2.0)

Limitations

  • Few visible users
  • Install from source

Frequently asked questions

How do I install Invinoveritas?

No package is declared in the MCP registry: clone the babyblueviper1/invinoveritas repository, follow its README, then declare the start command in your client's MCP configuration.

Is Invinoveritas free?

The code is published under the Apache-2.0 licence and can be used free of charge.

Is Invinoveritas safe?

No risk signal found (system access, secrets, licence, abandonment). As with any MCP server, keep rights minimal and read the code before sensitive use.

Is it an official server?

Nothing says so: it is a project published by babyblueviper1 on GitHub. Check who maintains it before giving it access.

What are the alternatives to Invinoveritas?

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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Neutrality. No affiliate links. No vendor pays to be reviewed, rated or ranked. Reviews are directed by François Chollet, neutral and factual, and every data point is dated and sourced. How we score