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ChimeraForge

Local-first LLM deployment planner: GPU/VRAM sizing, cost and latency, with provenance

Connector by Sahil170595 · GitHub account verified by the MCP Registry

IndexedMITLocal (stdio)★ 2
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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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Local-first LLM deployment planner: GPU/VRAM sizing, cost and latency, with provenance

Use cases: model-inference

Reviews

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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_api
  • chimeraforge_list_hardware
  • chimeraforge_plan
  • chimeraforge_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_api

    Compare 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_hardware

    List known GPUs with VRAM/bandwidth/TDP/interconnect.

  • chimeraforge_plan

    Recommend 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_model

    Resolve a model id to real params/architecture (grounds hallucinated specs).

  • chimeraforge_suggest

    Rank 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).

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    Stars
    2
    Forks
    1
    Open issues
    0
    Weekly downloads
    1,501
    Last commit
    Oct 22, 2026 (6 days ago)
    Last release
    Oct 22, 2026 (6 days ago)
    Last package publish
    Oct 22, 2026 (6 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
    Source
    Official MCP Registrygithub-graphql
    Cite this page

    ChimeraForge MCP server. Agent Mart. https://agentmart.dev/connectors/sahil170595-chimeraforge (last updated 2026-10-24)