ChimeraForge
Local-first LLM deployment planner: GPU/VRAM sizing, cost and latency, with provenance
Connector by Sahil170595 · GitHub account verified by the MCP Registry
Chalk Labs
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Install
Works with Claude Code, Codex, VS Code, Cursor, Windsurf, Claude Desktop. Read the repository before you give any tool access to your data.
npx agentmarket install connector/sahil170595-chimeraforge
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About
Use cases: model-inference
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this server can do and what it asks for, from its tool list and install config. Checked Oct 25, 2026.
- Tools
- 4 read · 1 write · 0 delete
- Secrets
- None asked for
- Install scripts
- Not scanned yet
- Runs as
- Python package
Tools by what they do 5
Read from the source code; the running server may list different tools.
Read 4 · Look things up without changing anything.
chimeraforge_compare_apichimeraforge_list_hardwarechimeraforge_planchimeraforge_suggest
Write 1 · Create, change, send or run things.
chimeraforge_resolve_model
Files it touches
- Any path the agent passes to its tools
Tools (5)
Read from the source code; the running server may differ. Descriptions are the server’s own words; hidden characters are shown as [U+…].
chimeraforge_compare_apiCompare self-hosting against the hosted APIs for a workload: sizes the cheapest feasible GPU fleet, prices the same traffic through each API model, and gives the monthly output-token volume where the two break even. Use for 'is it cheaper to self-host or use the API', 'when does a GPU pay for itself'. API prices come from a dated snapshot -- the result reports its age and flags it when stale; say so rather than quoting an old price as current.
chimeraforge_list_hardwareList known GPUs with VRAM/bandwidth/TDP/interconnect.
chimeraforge_planRecommend the best (model x quantization x backend x GPU-count) deployment for a workload, or report why nothing fits. Returns candidates with per-number provenance (measured/extrapolated/estimated/unknown). Use for: 'what GPU do I need for <model>', 'will <model> fit on <gpu>', 'how many GPUs for N req/s', 'what will it cost'. Set platform (linux/windows/wsl2/macos) to the deployment OS: engines are offered only where their own docs say they run.
chimeraforge_resolve_modelResolve a model id to real params/architecture (grounds hallucinated specs).
chimeraforge_suggestRank the models that actually fit and hit the SLO on a given GPU -- the inverse of planning. Use for 'what can I run on a 4090', 'best model for 12GB'. Sources: catalog (offline curated set), ollama (locally installed), hf (top Hub repos).
Compare and alternatives
Featured in
Signals
- Stars
- 2
- Forks
- 1
- Open issues
- 0
- Weekly downloads
- 1,501
- Last commit
- Oct 22, 2026 (8 days ago)
- Last release
- Oct 22, 2026 (8 days ago)
- Last package publish
- Oct 22, 2026 (8 days ago)
From GitHub (fetched Oct 24, 2026) and the package registry.
Details
- Registry name
io.github.Sahil170595/chimeraforge- Version
- 0.71.0
- Auth
- No auth
- Packages
- pypi chimeraforge
- License
- MIT
- Repository
- github.com/Sahil170595/Chimeraforge
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
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Cite this page
ChimeraForge MCP server. Agent Mart. https://agentmart.dev/connectors/sahil170595-chimeraforge (last updated 2026-10-24)