Install
$ agentstack add mcp-blackwell-systems-gcf-python ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
gcf-python
Python implementation of GCF — the most token-efficient wire format for LLMs. A drop-in alternative to JSON and TOON for any structured data.
100% comprehension on every frontier model tested. 29% fewer tokens than TOON, 56% fewer than JSON across 16 datasets. 91.2% on structurally complex code graphs (vs TOON 68.8%, JSON 54.1%). 2,400+ LLM evaluations. Zero training.
Docs: gcformat.com · Playground · GCF vs TOON
Install
pip install gcf-python
Zero dependencies. Pure Python. Python 3.9+. Includes CLI. Don't want to change code? Use the MCP proxy for zero-code adoption.
CLI
gcf encode str` | Encode a graph payload to GCF text |
| `encode_generic(data: Any) -> str` | Encode any value to GCF tabular format |
| `decode(input_text: str) -> Payload` | Parse GCF text back to a Payload |
| `encode_with_session(p: Payload, s: Session) -> str` | Encode with session deduplication |
| `encode_delta(d: DeltaPayload) -> str` | Encode a delta (added/removed only) |
| `Session()` | Create a new session tracker (thread-safe) |
## Types
| Type | Purpose |
|------|---------|
| `Payload` | Full GCF payload: tool, budget, symbols, edges, pack root |
| `Symbol` | Graph node: qualified name, kind, score, provenance, distance |
| `Edge` | Directed relationship: source, target, edge type |
| `DeltaPayload` | Diff between two packs: added/removed symbols and edges |
| `Session` | Thread-safe tracker for multi-call deduplication |
| `KIND_ABBREV` / `KIND_EXPAND` | Bidirectional kind abbreviation dicts |
## Benchmarks
2,400+ LLM evaluations across 10 models, 3 providers, and 51 independent test runs.
| | GCF | TOON | JSON |
|---|---|---|---|
| **Comprehension** (23 runs, 10 models) | **91.2%** | 68.8% | 54.1% |
| **Generation** (28 runs, 9 models) | **5/5** | 1.0/5 | 5.0/5 |
| **Input tokens** (500 symbols) | **11,090** | 16,378 | 53,341 |
| **Output tokens** (100 symbols) | **5,976** | 8,937 | 16,121 |
GCF wins 15/16 datasets on the expanded [token efficiency benchmark](https://github.com/blackwell-systems/toon/tree/gcf-comparison). Full results: [gcformat.com/guide/benchmarks](https://gcformat.com/guide/benchmarks.html)
## Implementations
| Language | Package | Repository |
|----------|---------|-----------|
| Go | `go get github.com/blackwell-systems/gcf-go` | [gcf-go](https://github.com/blackwell-systems/gcf-go) |
| TypeScript | `npm install @blackwell-systems/gcf` | [gcf-typescript](https://github.com/blackwell-systems/gcf-typescript) |
| Python | `pip install gcf-python` | [gcf-python](https://github.com/blackwell-systems/gcf-python) |
| Rust | `cargo add gcf` | [gcf-rust](https://github.com/blackwell-systems/gcf-rust) |
| Swift | Swift Package Manager | [gcf-swift](https://github.com/blackwell-systems/gcf-swift) |
| Kotlin | JitPack | [gcf-kotlin](https://github.com/blackwell-systems/gcf-kotlin) |
| MCP Proxy | `pip install gcf-proxy` | [gcf-proxy](https://github.com/blackwell-systems/gcf-proxy) (bidirectional, session dedup, HTTP frontend) |
| Claude Code Plugin | `/plugin install` | [gcf-claude-plugin](https://github.com/blackwell-systems/gcf-claude-plugin) (one-command install, session stats hook) |
| Codex Plugin | `codex plugin add` | [gcf-codex-plugin](https://github.com/blackwell-systems/gcf-codex-plugin) (one-command install, session stats hook) |
| VS Code | `ext install blackwell-systems.gcf-vscode` | [gcf-vscode](https://marketplace.visualstudio.com/items?itemName=blackwell-systems.gcf-vscode) (syntax highlighting) |
| n8n | `npm install n8n-nodes-gcf` | [gcf-n8n-nodes](https://github.com/blackwell-systems/gcf-n8n-nodes) (workflow encode/decode) |
| Tree-sitter | `npm install tree-sitter-gcf` | [tree-sitter-gcf](https://github.com/blackwell-systems/tree-sitter-gcf) |
**Zero runtime dependencies. Permanently.** All six implementations depend only on their language's standard library. No transitive dependencies. No supply chain risk. This is a permanent commitment: GCF will never take on external runtime dependencies. MIT licensed. All implementations support both generic profile (`encodeGeneric`) and graph profile (`encode`). CLI included in all 6 languages.
**Specification:** [SPEC v3.2 Stable](https://github.com/blackwell-systems/gcf/blob/main/SPEC.md) with 174 conformance fixtures, 43,000,000,000+ lossless round-trips verified across 5 formats and 6 languages. All implementations at v2.2.1+ (Go v1.3.1). Cross-language 6x6 matrix verified.
## License
MIT - [Dayna Blackwell](https://github.com/blackwell-systems)
## Source & license
This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.
- **Author:** [blackwell-systems](https://github.com/blackwell-systems)
- **Source:** [blackwell-systems/gcf-python](https://github.com/blackwell-systems/gcf-python)
- **License:** MIT
- **Homepage:** https://www.gcformat.com
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.