fluxforge
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@fluxforgepredict essential genes for lung cancer"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
FluxForge_MCP
The installable MCP server for FluxForge — a fail-closed Model Context Protocol server that fuses literature, regulatory/PPI networks, and genome-scale metabolic models to predict CRISPR gene dependencies and drug targets. 18 typed tools.
This is a lightweight distribution repo (server + ~1.5 MB runtime data only) so it clones and installs fast. The full research code — the benchmark engine, datasets, figures, and paper materials — lives in the main repo: https://github.com/ali-kishk/FluxForge.
Install
1. Install the package (pulls all Python dependencies — cobra, pandas, networkx, httpx, pydantic, mcp — and ships the ~1.5 MB runtime data bundled inside the wheel):
pip install fluxforge-mcpSolver is GLPK (bundled with cobra; no CPLEX/MATLAB needed).
2a. Claude Code — plugin marketplace (simplest; runs python -m mcp_server.server, no PYTHONPATH
or data-dir env vars needed once the package is installed):
/plugin marketplace add ali-kishk/FluxForge_MCP
/plugin install fluxforge@fluxforge2b. Claude Code — direct:
claude mcp add fluxforge -- python -m mcp_server.server2c. Claude Desktop — config (claude_desktop_config.json → mcpServers):
{
"mcpServers": {
"fluxforge": {
"command": "python",
"args": ["-m", "mcp_server.server"]
}
}
}Use the full path to your interpreter (e.g. .../python.exe) if python isn't on the client's PATH,
or if you installed fluxforge-mcp into a specific virtualenv.
Only literature.extract_claim needs an LLM backend (configure MCP_LLM_*); the other 17 tools run
with no LLM.
Related MCP server: GenomeMCP
Verify
Ask the client to "list your fluxforge tools" → you should get 18, starting with
session.init_artifacts. Or offline:
python -m mcp_server.server --selftest # -> registered tools: 18Data & output locations
The runtime data (Recon3D model, PPI table, regulatory map, CRISPR benchmark, comparators) ships
inside the installed package and is found automatically — no configuration needed. Outputs (session
dumps, viewers, negative-result reports) are written to ~/.fluxforge/outputs by default. Override
either with MCP_INPUT_DIR / MCP_OUTPUT_DIR if you need a different location.
License & citation
Apache-2.0 (see LICENSE / NOTICE) — © 2026 Ali Kishk. Cite via CITATION.cff. For the benchmark
methodology and results, cite the main FluxForge repo / preprint.
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