A powerful MCP server built with NitroStack
Add via Cursor Settings UI (Settings > Features > MCP > Add New MCP Server):
{
"mcpServers": {
// your other mcp servers
"immunograph-mcp": {
"url": "https://immuno-gra-rohith-kumar-dhamagatla-amrita-university-coimbatore.app.nitrocloud.ai/mcp"
}
}
}
Connect remote tools directly via Claude's Web UI:
Configure custom tools directly via ChatGPT's Web UI:
Add the following configuration block under mcpServers in your Antigravity configuration file (~/.gemini/config/mcp_config.json):
{
"mcpServers": {
// your other mcp servers
"immunograph-mcp": {
"serverUrl": "https://immuno-gra-rohith-kumar-dhamagatla-amrita-university-coimbatore.app.nitrocloud.ai/mcp"
}
}
}
Add the following configuration block to your Codex configuration file (~/.codex/config.toml):
[mcp_servers.immunograph-mcp] url = "https://immuno-gra-rohith-kumar-dhamagatla-amrita-university-coimbatore.app.nitrocloud.ai/mcp"
Connect directly using the Server-Sent Events endpoint:
https://immuno-gra-rohith-kumar-dhamagatla-amrita-university-coimbatore.app.nitrocloud.ai/mcp
Validate and normalize one protein FASTA record.
Generate stable one-based T-cell peptide windows.
Resolve MHC-I predictions through configured live/cache/fixture connectors.
Resolve MHC-II predictions through configured live/cache/fixture connectors.
Resolve B-cell evidence; GraphBepi is fixture-only in MVP v1.
Generate deterministic offline demonstration binding values; never scientific predictions.
Normalize registered raw scores with versioned transformations.
Compute deterministic weighted agreement, completeness, and consensus.
Compute deterministic consensus for multiple independent candidate groups.
Calculate population coverage using a configured authoritative service or exact fixture.
Calculate deterministic demonstration coverage from explicitly synthetic HLA frequencies.
Calculate deterministic preliminary scores or stable final ranks from completed snapshots.
Select a stable T-cell shortlist using deterministic construct optimization and set-level coverage.
Run a seeded deterministic genetic-style construct optimization with coverage, redundancy, and manufacturability constraints.
Calibrate confidence from score, agreement, completeness, and evidence count without claiming experimental validation.
Detect positional overlap competitors and connected components without resolving them.
Canonicalize exact duplicate identities while preserving identical peptides at different coordinates.
Evaluate documented hard biological thresholds and emit rule outcomes.
Assign deterministic decision categories and confidence after scoring and constraints.
Apply base, duplicate, and overlap rules to one immutable candidate snapshot.
Fetch or replay a structure record with explicit source provenance.
Validate structure metadata before mapping or docking preparation.
Map epitope candidate coordinates to a validated structure reference.
Calculate fixture-safe surface accessibility summaries for mapped candidates.
Calculate structure confidence from provided metrics or fixture-safe defaults.
Detect binding pockets with fpocket when configured, otherwise fail or fixture-replay.
Create a Mol* view-state reference for structure or docking visualization.
Fetch or replay compound metadata with explicit source provenance.
Validate compound identity and basic molecular string shape before docking.
Canonicalize compounds by normalized SMILES-like identity.
Calculate deterministic lightweight descriptor estimates without claiming RDKit execution.
Prepare a ligand artifact reference through configured chemistry tooling or fixture fallback.
Prepare receptor artifact references for docking through local tools or fixture fallback.
Validate docking box dimensions before docking execution.
Run configured docking or replay an approved deterministic docking fixture.
Cluster docking poses from structured docking output.
Extract interaction summaries from representative docking poses.
Generate immutable report artifacts from an approved run.
Export approved candidates with separate raw and normalized score fields.
Build a validated deterministic visualization view model.
Explain a fixed candidate decision without changing scientific values.
Export a redacted ordered workflow trace without secrets or chain-of-thought.
Describe the single NitroStack MCP app internal agent graph, tool permissions, approvals, and final package contract.
Run the strict PRD v1.1 LangGraph bounded-agent workflow inside the single NitroStack MCP app.
Answer researcher or judge questions through the bounded agent policy using supplied evidence only.
Return the PRD v1.1 final research package contract and deterministic artifact metadata.