Re-checks published claims against live sources and packages evidence through a public remote MCP endpoint.
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β or use 1-click editor setup below.
π‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.
Inspect callable tools, capabilities, and parameters exposed to AI agents by GeniusFlow Federation.
The GeniusFlow Federation MCP server provides a remote interface for working with evidence-backed claims about named entities. Its public proving ground is CIRCLE, and the associated API exposes entity dossiers, claim verification, packaging, citation, status, and related operations.
The core workflow follows this sequence: entity, claim, grounding, verification, package, and citation. A dossier supplies published claims for an entity. Each claim can be grounded with a source URL and an expected substring taken from that claim. Verification then checks whether the source still contains that literal string. A package can admit or withhold the result, while citation creates a packet over a published claim object.
GeniusFlow Federation performs a literal string re-check. It does not determine whether the broader world is true, perform semantic fact-checking, or provide a real-time world model. If a circulating figure is missing, the system keeps it as UNKNOWN rather than filling the gap.
The GeniusFlow Federation MCP server is available at https://geniusflow-federation.vercel.app/api/mcp. MCP clients can connect to that URL as a remote server. The listed core tools are gf_dossier, gf_verify, gf_package, gf_cite, and gf_status. Additional tools include gf_report_feed, gf_darshan, gf_return_wire, and gf_openapi; the README identifies the last two experimental adapters.
The same public deployment exposes HTTP routes for direct use: GET /api/dossier?entity=CIRCLE, POST /api/verify, POST /api/package, and POST /api/cite. OpenAPI and machine-readable documentation are also published by the deployment.
No account is required, and the README does not specify credentials or environment variables. Configure an MCP client with the remote URL rather than a local filesystem path:
The GeniusFlow Federation MCP server runs on a Vercel hobby deployment with best-effort availability and no promised uptime. The runtime engine repository is private, so the documented connection is to the hosted endpoint rather than a locally installed package.
gf_dossier.gf_verify.gf_package.gf_cite.gf_status.Use the expected substring from the returned claim as grounding input; the README specifically warns against inventing that value. The repository includes curl and Python examples for dossier, verification, status, packaging, and citation flows.
The GeniusFlow Federation MCP server should not be treated as a complete real-world-asset registry, settlement system, persistent memory product, or proof of information advantage. The README also says that the Federation deployment and the projectβs Pages site are separate surfaces whose snapshot identities may differ. CIRCLE is inspectable, but that does not establish a complete registry or production service guarantee.
Always refer to the official documentation for the most accurate and up-to-date information.
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