Workflows
Agentic tools forbinder design, structure prediction, molecular dynamics, docking, protein design, and MSA generation
Computational biology workflows, exposed as MCP tools. One server, typed I/O, pay per run.
Trace
agent session · reverie-mcp
User
Design 8 binders for ubiquitin around residues 48, 49, 68.
Agent · thinking
Known target. I'll call reverie.design_binder.
Tool call
→ reverie.design_binder({
target_pdb: "1ubq",
hotspot_residues: ["A48", "A49", "A68"],
num_designs: 8
})
RFdiffusion✓ 8 backbones2m 04s
ProteinMPNN✓ sequences18s
AlphaFold2✓ refold + pLDDT3m 47s
filter✓ 5 of 8 pass< 1s
← 5 ranked binders · pLDDT 84–91 · $4.80
Agent · reply
5 binders passed. Top design pLDDT 91, clusters at the hotspots. Run OpenMM relaxation on the top 3?
Catalog
Structure & affinity
Structure and binding affinity in one call.
Boltz-2
GPU · ~30–90s
Metered
per run
Binder design
RFdiffusion → MPNN → AF2 filter as one job.
Chained pipeline
GPU · ~5–10m
Metered
per run
Small molecule docking
Blind docking with PoseBusters QC.
DiffDock
GPU · ~1–3m
Metered
per run
Molecular dynamics
Relaxation, minimization, equilibration.
OpenMM
GPU · ≤ 10ns
Metered
per GPU-min
MSA generation
mmseqs2 against UniRef + environmental DBs.
ColabFold
CPU · ~30–120s
Free
on free tier
Protein embeddings
Per-residue or per-sequence embeddings.
ESM-2
CPU · < 1s
Free
on free tier
Connect in one line.
Add the server to your agent config — Claude Desktop, Cursor, Claude Code, or any MCP-compatible runtime.
{
"mcpServers": {
"reverie": {
"url": "https://mcp.reverieresearch.com"
}
}
}
Onboarding beta partners