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MCP verified MIT Self-run

Fraime

mcp-santiagomelomedina-fraime · by santiagoMeloMedina

Open source platform for AI media generation

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Install

$ agentstack add mcp-santiagomelomedina-fraime

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No 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.

View the full security report →

Verified badge

Passed review? Show it. Paste this badge into your README, it links to the public security report.

AgentStack Verified badge Links to your public security report.
[![AgentStack Verified](https://agentstack.voostack.com/badges/verified.svg)](https://agentstack.voostack.com/security/report/mcp-santiagomelomedina-fraime)

Reliability & compatibility

✓ Security review passed
0 installs to date
— no reviews yet
● 21d ago

Declared compatibility

Claude CodeClaude DesktopCursorWindsurf

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

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 →
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About

Fraime

[](LICENSE) [](https://buymeacoffee.com/smelomedina)

Open source AI media generation platform. Generates video, image, and voice output from a single self-hosted API.

The problem

AI media generation today is either hidden behind paywalls that get more expensive the more you use them, or "free" in name only — the open source models exist, but actually running one yourself means figuring out which model fits your hardware, wiring up prompt structure, and managing the whole generation pipeline by hand. Creating video, image, or voice content without AI, meanwhile, is still a slow, manual process. The gap isn't a lack of capable open models — it's the friction and hardware guesswork standing between you and using them.

The vision

Nobody should need to be a systems engineer to use an open source generation model, and nobody should have to pay a token-metered paywall for something their own hardware can already do. Fraime's bet is that automatically matching hardware to the right model — instead of making a human do that matching by hand — is what actually makes self-hosted AI media generation practical, not just theoretically free.

The solution

Fraime detects what hardware it's running on (accelerator type, VRAM, system RAM, disk space) and automatically picks the best open-weight model it can actually run from a curated catalog — matching exact capabilities and VRAM figures against exact hardware numbers, not coarse hardware "tiers." No model fits, no problem: it tells you why instead of guessing.

What's in this repo

Three self-contained components, each with its own setup and docs:

| Component | What it is | |---|---| | [api/](api/README.md) | The actual generation engine: hardware detection, model catalog, prompt-structure rules, and the /generate endpoint. Start here. | | [sdk/](sdk/README.md) | A typed Python client for the API — pip install fraime-sdk (or install from this repo), get enums/models for every video type instead of hand-writing request JSON. | | [mcp/](mcp/README.md) | An MCP server exposing the API to agentic workflows (Claude Code, Claude Desktop, etc.) built directly on the SDK. |

Each component's own README covers its prerequisites, install/run steps, and environment variables in full — this file is the map, not a substitute for them. Each component also has its own PUBLISHING.md for maintainers publishing new versions (Docker Hub for api/, PyPI for sdk//mcp/).

See [idea.md](idea.md) for the original product framing this project started from.

License

[MIT](LICENSE) — permissive, no obligations on forks or commercial reuse beyond keeping the copyright notice. Each of api/, sdk/, and mcp/ bundles its own copy of the license, since each is also distributed independently (Docker image, PyPI packages) rather than only as part of this git repo.

Support this project

If Fraime saved you from a token-metered paywall or a weekend of hardware wrangling, consider buying me a coffee — it genuinely helps keep this maintained.

Source & license

This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.