Anti-Bullshit MCP Server

Anti‑Bullshit MCP Server

The Anti‑Bullshit MCP server fills a critical gap in modern AI workflows by providing an automated, multi‑faceted analysis of claims and their supporting evidence. In today’s information ecosystem, unverified statements can spread rapidly through social media, news outlets, and even internal corporate communications. This server equips AI assistants with the ability to scrutinize such claims against a rigorous set of epistemological standards, helping developers and end users discern truth from manipulation with minimal effort.

At its core, the server offers three complementary tools. evaluates a statement through four distinct frameworks—Empirical, Responsible, Harmonic, and Pluralistic—each targeting a different dimension of credibility. The Empirical framework cross‑checks verifiable data, the Responsible framework audits ethical and community impacts, the Harmonic framework ensures coherence with established knowledge, and the Pluralistic framework aggregates insights from all others to capture a holistic view. pulls cited references from the claim’s text, verifies their authority across multiple platforms, and flags conflicts of interest or methodological weaknesses. Finally, scans for common persuasive tactics such as emotional appeals, urgency cues, or false authority that can distort rational judgment.

These capabilities are particularly valuable for developers building AI‑powered decision support systems, content moderation tools, or research assistants. By integrating the server into a Claude workflow, an assistant can automatically flag dubious claims in user queries, provide evidence‑based rebuttals, or recommend further reading from vetted sources. For example, a compliance officer could use the server to vet regulatory claims before incorporating them into policy documents, while a journalist might rely on it to fact‑check sources during live reporting.

The server’s design emphasizes modularity and transparency. Each tool returns structured, human‑readable insights that can be directly displayed in chat interfaces or logged for audit purposes. The built‑in temporal reference (2025‑01‑01) allows the assistant to contextualize claims that depend on evolving knowledge, addressing philosophical challenges like Goodman's paradox. Moreover, the server’s open‑source MIT license and straightforward integration into existing MCP clients make it an accessible addition to any AI stack.

In summary, the Anti‑Bullshit MCP Server empowers developers and users alike to combat misinformation at scale. By combining rigorous epistemological analysis, source validation, and manipulation detection into a single, AI‑friendly interface, it transforms passive consumption of information into an active, evidence‑driven dialogue.