Persistent project context for xAI Grok using the IANA-registered .faf format, shared across AI sessions.
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The findings on this server are worth reviewing before you connect an agent to it.
Scanned 27 days ago Due for re-check
A server can change after it's graded. Re-run the automated scan to refresh this report.
This grade is deterministic and reproducible: the same server surface always yields the same grade under a given algorithm version. It is a real automated assessment computed by the MCPGrade engine from what the probe actually observed — not a fabricated or opinion score. It is not a manual human pentest, so it can miss context-specific risks.
Every signal below was measured directly by the automated probe. The grade is derived only from evidence like this — nothing is assumed.
The grok-faf-mcp MCP server exposes 19 tools, focused primarily on general-purpose capabilities. Its published description reads: "Persistent project context for xAI Grok using the IANA-registered .faf format, shared across AI sessions". It communicates over Streamable HTTP using the 2026-07-28 protocol revision, and does not require authorization to connect. MCPGrade currently rates grok-faf-mcp C — the findings are worth reviewing before you connect an agent to it. Its most notable findings include "Cross-tool shadowing" and "No authorization on a public remote server". This report is a deterministic, reproducible automated assessment: the same observed surface always yields the same grade under a given algorithm version, and it is refreshed as new scans arrive and free to read — but it is not a substitute for a manual human security review. Always re-check grok-faf-mcp's advertised tools, transport security, and authorization posture before connecting an autonomous agent or sharing sensitive context with it.
Add grok-faf-mcp to an MCP client using the endpoint below. Review the grade and findings above before granting an autonomous agent access.
MCP endpoint
https://grok-faf-mcp.vercel.app/sseStreamable HTTP transport. This is the MCP endpoint, not a website — paste it into your MCP client server list rather than a browser.
Captured passively during the read-only scan. Click any value to find servers that match it.
The tools this server advertises via tools/list — names, purposes, and the parameters each accepts, exactly as enumerated read-only.
Fetch a context soul by name. Returns structured AI context.
List all available context souls.
Determine if a topic needs FULL, DELTA, or X-DELTA soul.
List all unique tags used in a soul, with counts.
Sorted worst-first. Each finding shows its severity, what it means, its OWASP MCP Top-10 mapping, and a recommended fix — the check id links to the exact methodology row that produced it.
tool: faf_collections_search
A tool description tries to alter the model’s use of another tool.
; composes with faf_section (structural) for hybrid retrieval. Handled env-RecommendationDescriptions must describe only their own tool.
The server accepts tool enumeration (and likely invocation) with no authentication.
RecommendationRequire OAuth 2.1 authorization for any server exposing non-public tools.
Analyze web pages and entire sites for SEO, accessibility, performance, and security compliance. Generate detailed reports and actionable issue lists to improve site quality and user experien
Validates ZUGFeRD, Factur-X, and XRechnung e-invoices against EN 16931 with correction suggestions.
Tracks US tariff and trade-action changes from Federal Register documents and exposes them through an API for AI agents.
Instant rug-check for any EVM or Solana token, distilled to one clear 0-10 risk verdict.
Provides access to Bible translations, books, chapters, verses, and search functionality.
Remote-first MCP adapter for emitting Settlement Attestation Receipts; not a verifier.
Find all entries in a soul with a specific tag.
Full-text search across souls. Returns matching lines only (token-efficient).
Discover tag patterns, co-occurrence, candidates, and merge suggestions across all namepoints. Optionally suggest tags for a specific handle.
Generate a .faf file from any public GitHub repository WITHOUT cloning. Extracts 6 Ws from README, analyzes stack from languages and package.json, and generates Championship-grade AI context. Returns
Score .faf YAML content via the Mk4 Zig-WASM engine. Returns 0-100 (capped). Same engine as xai-faf-rust + xai-faf-zig (parity-tested). Sub-ms at the edge.
Validate .faf YAML content via the Mk4 Zig-WASM engine. Returns true if mission-ready (>= 100).
Resolve the FAF tier for a given numeric score. Returns the tier symbol (Trophy/Gold/Silver/Bronze/etc.) per the canonical tier-table.
Estimate token count for arbitrary content via the Zig WASM engine. Sub-millisecond, zero allocations. Useful for context-budget planning.
One-call composite — returns score, tier-ready, valid, and engine identifier. Two WASM calls, sub-millisecond total.
Re-ground on .faf content — re-score via the Mk4 Zig-WASM Enterprise scorer (33-slot, honors the authored app-type shape), report drift vs an optional baseline score, and return a stamped re-ground. T
Takes raw content strings (`.faf`, `.fafm`, and optionally `package.json`/`CHANGELOG.md`/`README.md`) and runs deterministic drift + contradiction signals across the FAF substrate. Returns a structure
Phase III (FRC) — pre-promotion quality gate. Scores .faf content (edge Mk4) + estimates tokens and returns a deterministic promote/hold verdict BEFORE it goes to a Grok Collection. Promote IFF score
Phase III (FRC) — returns an EXACT, WHOLE .faf section by dotted path (e.g. "stack", "human_context"), structure preserved — the deterministic complement to blind chunking. Omit "section" to list ever
Phase III (FRC) — query the durable .fafm model by type/tag/priority/text. Omit filters for a structured summary. .fafm is NOT scored: this SELECTS facts (provenance preserved), never grades them.
Phase III (FRC §7b) — semantic search over a Grok Collection at the edge, KV-cached (1h TTL). Returns matched chunks (content, score, file). Requires the XAI_API_KEY secret; composes with faf_section