general MCP Server
Persistent Project Context for Google Gemini — IANA-registered .faf format · MCP server + Cloud Run REST API
Discovered via github-topic:model-context-protocol and last synced 3mo ago.
Install instructions not detected yet
Check the source repository for the latest setup steps.
Quick Mk4 score — score, tier, populated/active/total slot counts
FAF format info — IANA registration, version, ecosystem
Major gaps — AI will guess
Auto-detect stack from manifest files and generate/update `.faf`
Top tier
crates.io
Detects
Get a 100% Trophy-scored example `.faf` for any of 15 project types
Empty
Create a starter `.faf` file with project name, goal, and language
Get Gemini-optimized context (project + stack + score)
Exceptional
npm
What it does
Export `AGENTS.md` for OpenAI Codex, Cursor, and other AI tools
Solid foundation
Full Mk4 validation — score, tier, slot counts, errors, warnings
Needs improvement
Ruby
Parse a `.faf` file into structured data
Tier
Platform
**Priority rule:** `pyproject.toml` / `Cargo.toml` / `go.mod` take priority over `package.json`. Only sets values that are actually detected — no hardcoded defaults. --- ## All 12 Tools ### Create & Detect
Convert parsed FAF data back to clean YAML
AI has full context for your project
npm + MCP #2759
Find `.faf` files in the project tree
Export `GEMINI.md` with YAML frontmatter for Gemini CLI
Minimum recommended — AI can build from here
npm
Implementing and auditing GCP VPC firewall rules to enforce network segmentation, restrict ingress and egress traffic, apply hierarchical firewall policies across the organization, and monitor firewall rule effectiveness using VPC Flow Logs.
Auditing Google Cloud Platform IAM permissions to identify overly permissive bindings, primitive role usage, service account key proliferation, and cross-project access risks using gcloud CLI, Policy Analyzer, and IAM Recommender.
Configuring Google Cloud Identity-Aware Proxy (IAP) to enforce per-request identity verification for Compute Engine, App Engine, Cloud Run, and GKE services using access levels, context-aware policies, and programmatic access with service accounts.
Implement GCP Binary Authorization to enforce deploy-time security controls that ensure only trusted, attested container images are deployed to Google Kubernetes Engine and Cloud Run.
Sample code and notebooks for Generative AI on Google Cloud, with Gemini Enterprise Agent Platform
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