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Finance and payments · MCP server

Bobai buyburn: MCP server, setup and security

Bobai buyburn is an open-source MCP server published on GitHub that lets an AI agent inspect token prices liquidity and audited buyback and burn activity. Its repository has 0 stars and its last commit is from October 24, 2026 and it is licensed under MIT.

Score
55/100
Adoption (stars) 0/40
Maintenance 30/30
Framework (licence, registry, official) 25/30
OfficialActively maintained

What Bobai buyburn does

According to its repository: “On-chain data for the $BOBAI token on BNB Chain: price from pair reserves and Chainlink, liquidity depth, LP-burn proof and a buyback-and-burn audit trail.”

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. Bobai buyburn is listed under Finance and payments, a category of 202 servers in the directory, where it ranks #201 by stars.

Topics declared by the repository: ai-agents, bnb-chain, bsc, crypto, bnb, defi.

Installing and connecting Bobai buyburn

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 Bobai buyburn. 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 March 27, 2026, the mmxrealQQ/bobai-buyburn 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.

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 : 391391Bobai buyburnBobai buyburn : 00
GitHub stars of the most followed servers in the category (log scale); Bobai buyburn in orange. Checked October 25, 2026.

Verdict

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

Strengths

  • Maintained by the service's own vendor
  • Active project: recent commit
  • Permissive licence (MIT)

Limitations

  • Few visible users
  • Install from source

Frequently asked questions

How do I install Bobai buyburn?

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

Is Bobai buyburn free?

The code is published under the MIT licence and can be used free of charge.

Is Bobai buyburn 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?

Yes: the awesome-mcp-servers list marks it as the service vendor's official implementation.

What are the alternatives to Bobai buyburn?

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