AlphaFold Sovereign MCP (smaniches/alphafold-sovereign-mcp) is an MCP server listed on the M8ven Trust Index. It scores 46 out of 100, grade D. It declares 55 tools. No publisher has claimed this listing.

D
Caution
46/100

AlphaFold Sovereign MCP

Integrates AlphaFold DB and eight other biomedical data sources into MCP tools for variant clinical reporting, disease-target analysis, structural intelligence, and drug repurposing, with results persisted to a local SQLite knowledge graph.

Caution. Specific findings reduced this grade. They are listed on the page. Grades reflect the full trust pyramid: code, verification depth, and reputation. New projects cap at C until adoption is earned.

How we verified

⚡ Live Monitored: not connected

Verified is a snapshot. Live keeps it current, and builds your track record.

⚡ Connect GitHub → continuous verification on every pushwhy connect →

Who stands behind it

smaniches

Source: Glama

Is this your MCP?

Claim it to get a verified publisher badge, a free copy of our full audit findings, and direct contact for any high-priority issues we find. Or connect your repo for our deepest verification, Live Monitored: read-only, revoke anytime. What we access →

Install from

The grade above is for the source repository. Registries can serve a different version, so we mark the ones we were not able to read.

// key findings
⚠️
Tool descriptions don’t match what handlers do
1 tool describes read intent but its handler mutates — export_protein_set (line 4689: with open(export_path, 'w', encoding='utf-8', newline='\n') as f:)
55 tools verified — handlers match their declared behaviour
30 read-only tools verified — handlers contain no write/delete/exec
No credential exfiltration, no sensitive file access, no obfuscation
Static analysis found nothing flowing your secrets to unexpected places.
Open source with a license and README
Anyone can audit the code, the license is declared, and the publisher documents what it does.
🔐
You'll be asked for 2 credentials: NCBI_API_KEY, DISGENET_API_KEY
These are read from process.env at runtime. Make sure you trust where they’ll be sent.
// tools this server exposes55 tools

These names and descriptions are the publisher's own, read from the source code. We print them as written. Our assessment is the findings above, not this list.

get_structure

Retrieve an AlphaFold protein structure by UniProt ID. PROPRIETARY TOOL - TOPOLOGICA LLC Operation (Cache-First Sovereign Strategy): 1. Check local cache (dynamically indexed, grows with usage) 2. If not found, fetch from AlphaFold DB online 3. Auto-cache fetched structures for future sovereign acce

search_structures

Search local AlphaFold structure cache. PROPRIETARY TOOL - TOPOLOGICA LLC Searches the sovereign cache (dynamically indexed) by UniProt ID pattern. Includes both pre-downloaded structures and previously-fetched online structures. Args: pattern: Glob-style pattern (e.g., 'A0A*', 'P123*') limit: Maxim

batch_structures

Retrieve multiple AlphaFold structures in batch. PROPRIETARY TOOL - TOPOLOGICA LLC Efficiently retrieves multiple structures with optional features. Args: uniprot_ids: List of UniProt IDs (max 50) include_features: Compute structural features for each Returns: Batch results with structure details

get_features

Compute detailed structural features for a protein. PROPRIETARY TOOL - TOPOLOGICA LLC Available features: - secondary_structure: Alpha-helix, beta-strand, coil classification - binding_pockets: Cavity detection with druggability scoring - confidence: pLDDT-based quality assessment - contacts: Local

get_topology

Compute topological features (persistent homology) for a protein. PROPRIETARY TOOL - TOPOLOGICA LLC Mathematical Foundation: Vietoris-Rips filtration on C-alpha atom point cloud. Computes: - beta_0: Connected components (protein domains) - beta_1: Loops/tunnels (structural motifs) - beta_2: Voids/ca

check_availability

Check availability of structures (local cache and online). PROPRIETARY TOOL - TOPOLOGICA LLC Checks both local cache (instant) and AlphaFold DB (network). Args: uniprot_ids: List of UniProt IDs to check Returns: Availability status for each ID

get_cache_statistics

Get statistics about the local structure cache. PROPRIETARY TOOL - TOPOLOGICA LLC Returns information about: - Number of local structures - Cache directories and mode - Storage locations - Configuration status

get_enriched_protein

Get comprehensive protein information combining AlphaFold structure + UniProt metadata. PROPRIETARY TOOL - TOPOLOGICA LLC This tool provides UNIQUE VALUE by combining: 1. AlphaFold structural data (3D coordinates, pLDDT confidence) 2. UniProt functional annotations (function, GO terms, active sites)

batch_go_lookup

Get GO terms for hundreds of proteins at once. PROPRIETARY TOOL - TOPOLOGICA LLC Efficiently fetches GO annotations for large protein sets. Uses local cache when available, fetches from UniProt when needed. Results are persisted for future sovereign access. Use Cases: - Training data extraction for

search_by_go_term

Find all proteins with a specific GO annotation. PROPRIETARY TOOL - TOPOLOGICA LLC Searches the inverted index for proteins annotated with a GO term. Essential for building training sets for function prediction. Use Cases: - Find all kinases (GO:0016301) - Find all membrane proteins (GO:0016020) - B

get_go_hierarchy

Navigate GO term parent/child relationships. PROPRIETARY TOOL - TOPOLOGICA LLC Fetches GO term hierarchy from QuickGO API. Essential for GO term propagation in function prediction. Use Cases: - Understand term specificity - Propagate annotations up the hierarchy - Find related terms for training Arg

export_protein_set

Export filtered proteins to TSV/CSV for ML pipelines. PROPRIETARY TOOL - TOPOLOGICA LLC Creates tabular exports suitable for: - Training machine learning models - Data analysis in pandas/R - Integration with CAFA pipelines Args: uniprot_ids: List of proteins to export output_format: 'tsv' or 'csv' i

find_similar_proteins

Find proteins similar by sequence or structure. PROPRIETARY TOOL - TOPOLOGICA LLC Uses k-mer based sequence similarity for fast approximate matching. For structure similarity, uses C-alpha RMSD when structures available. Args: uniprot_id: Query protein similarity_type: 'sequence' or 'structure' thre

get_domain_annotations

Retrieve Pfam/InterPro domain annotations. PROPRIETARY TOOL - TOPOLOGICA LLC Fetches domain annotations from UniProt cross-references. Domains are key features for function prediction. Args: uniprot_ids: List of proteins sources: Annotation sources (Pfam, InterPro, etc.) Returns: Domain annotations

filter_by_organism

Filter proteins by organism from local cache. PROPRIETARY TOOL - TOPOLOGICA LLC Searches local AlphaFold structures for organism-specific proteins. Essential for species-specific function prediction. Args: organism: Organism name or taxonomy ID limit: Maximum results include_go_summary: Include GO t

get_protein_families

Cluster proteins by sequence or GO term similarity. PROPRIETARY TOOL - TOPOLOGICA LLC Groups proteins into families based on similarity. Useful for identifying functionally related proteins. Args: uniprot_ids: Proteins to cluster clustering_method: 'sequence' or 'go_terms' similarity_threshold: Clus

extract_pae_matrix

Extract Predicted Aligned Error (PAE) matrix from AlphaFold structure. PROPRIETARY TOOL - TOPOLOGICA LLC PAE measures predicted distance error between residue pairs. Low PAE (<5Å) indicates high confidence in relative positioning. Returns: PAE matrix with statistics (min, max, mean, domain blocks)

detect_domains

Detect protein domains from PAE matrix clustering. PROPRIETARY TOOL - TOPOLOGICA LLC Uses PAE values to identify independently folded domains. Low intra-domain PAE + high inter-domain PAE = domain boundary. Returns: List of domains with residue ranges, confidence, and contacts

predict_disorder

Predict intrinsically disordered regions (IDRs) from pLDDT scores. PROPRIETARY TOOL - TOPOLOGICA LLC Low pLDDT (<50) often indicates disorder/flexibility. Returns IDR regions, propensity profile, and disorder statistics.

get_plddt_profile

Get detailed per-residue pLDDT confidence profile. PROPRIETARY TOOL - TOPOLOGICA LLC pLDDT categories: - Very high (>90): High confidence - High (70-90): Good confidence - Low (50-70): Caution - Very low (<50): Likely disordered

compute_information_content

Compute Information Content (IC) for GO terms using corpus frequencies. PROPRIETARY TOOL - TOPOLOGICA LLC IC(t) = -log(P(t)) where P(t) = freq(t)/max_freq Higher IC = more specific term = more informative Supports batch computation for efficiency.

compute_semantic_similarity

Compute semantic similarity between GO terms. PROPRIETARY TOOL - TOPOLOGICA LLC Methods: - Resnik: IC of Most Informative Common Ancestor (MICA) - Lin: 2*IC(MICA) / (IC(t1) + IC(t2)) - Jiang: 1 - (IC(t1) + IC(t2) - 2*IC(MICA)) - Wang: Graph-based with semantic contribution Returns pairwise similarit

get_advanced_topology

Compute advanced topological features with full TDA pipeline. PROPRIETARY TOOL - TOPOLOGICA LLC Features: - Persistence diagrams (birth-death pairs) - Betti curves over filtration - Persistence landscapes - Persistence images (vectorization) - Euler characteristic curve Mathematical Foundation: Viet

compare_protein_topology

Compare topological features between two proteins. PROPRIETARY TOOL - TOPOLOGICA LLC Distance Metrics: - Wasserstein (Earth Mover's): Optimal transport between diagrams - Bottleneck: Max matching distance - Landscape L2: Euclidean distance in landscape space Lower distance = more similar topology.

batch_protein_analysis

Comprehensive batch analysis of multiple proteins with progress tracking. PROPRIETARY TOOL - TOPOLOGICA LLC Runs selected analyses on all proteins: - Structure retrieval - Feature extraction - Topology computation - Disorder prediction - Domain detection Returns aggregated results with statistics.

lookup_disease

Retrieve a disease record from the MONDO unified disease ontology.

search_diseases

Search for diseases by name or keyword using the MONDO ontology.

lookup_phenotype

Retrieve an HPO phenotype term with associated disease annotations.

get_gene_phenotype_profile

Return all HPO phenotypes associated with a gene, plus gnomAD constraint.

get_disease_targets

Return top protein targets for a disease with Open Targets evidence scores.

get_target_diseases

Return all diseases associated with a protein target via Open Targets.

get_common_disease_targets

Profile the top drug targets for a curated set of common diseases in one call.

triage_variant_3d

Comprehensive clinical triage for a missense variant.

phenotype_to_structures

Map a clinical phenotype to the protein structures of its disease targets.

get_orphan_disease_atlas

Map an Orphanet rare disease to its MONDO record, HPO phenotypes, and protein targets.

compare_disease_target_overlap

Compare the protein target landscapes of two diseases.

resolve_icd10_to_mondo

Resolve an ICD-10 clinical code to MONDO disease ontology terms.

query_variant_database

Search the local knowledge graph for stored variants.

query_protein_database

Recall proteins already stored in the local knowledge graph.

get_knowledge_graph_stats

Return statistics about the local knowledge graph.

export_research_dataset

Export the stored knowledge-graph data for downstream analysis.

find_drug_gene_network

Traverse the local knowledge graph from a seed entity.

generate_variant_clinical_report

Generate a multi-source variant interpretation report.

assess_target_druggability

Comprehensive druggability assessment for a protein target.

synthesize_protein_dossier

Generate a complete protein intelligence dossier from 7 data sources.

map_disease_drug_landscape

Map the complete therapeutic landscape for a disease.

classify_variant_acmg

Generate a draft ACMG/AMP variant classification framework.

find_drug_repurposing_candidates

Rank existing clinical-stage drugs as repurposing candidates for a disease.

analyze_structural_confidence

Analyze AlphaFold structural confidence using pLDDT and PAE.

compute_topology_fingerprint

Compute a rotation-invariant topological fingerprint of a protein's fold.

compare_proteins_topologically

Compare multiple proteins using a TDA-fingerprint distance.

find_evolutionary_structural_shifts

Quantify cross-species structural and sequence divergence for a gene.

score_binding_pocket_geometry

Identify and score putative binding pockets from AlphaFold geometry.

detect_intrinsically_disordered

Map intrinsically disordered regions (IDRs) using pLDDT as proxy.

get_protein_structure

Retrieve a protein's AlphaFold model: metadata, download URLs, optional coordinates.

// environment variables
To run this server yourself, you supply these values. They go in your own MCP client configuration and stay on your machine. The secret label means the value is sensitive, not that the server mishandles it.
configALPHAFOLD_OFFLINEDisGeNET, needs its own free API key); set =1 to refuse
configALPHAFOLD_ALLOW_HOSTS
configALPHAFOLD_RATE_LIMIT
🔐 secretNCBI_API_KEY
🔐 secretDISGENET_API_KEY
configAFSMCP_DISABLE_KG_SEEDrelationships; disable with =1) and can be
configALPHAFOLD_KG_PATH
// quality suggestions

Tool annotations

30/55 tools have annotations

Add readOnlyHint or destructiveHint annotations to every tool so hosts can warn users before invoking.

All four hints declared on every tool

55/55 tools missing one or more hints — get_structure (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); search_structures (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); batch_structures (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint), +52 more. OpenAI's directory rejects tools where any of the four hints are missing or non-boolean.

For every tool, set all four hints (readOnlyHint, destructiveHint, idempotentHint, openWorldHint) to explicit true/false values that match the handler’s actual behaviour.

Descriptions match behaviour

1 tool describes read intent but its handler mutates — export_protein_set (line 4689: with open(export_path, 'w', encoding='utf-8', newline='\n') as f:)

Rename the tool, rewrite the description, or move the side-effect into a separate clearly-named tool.

Tool inputs are validated

53/55 tool handlers declare input schemas (96%)

Declare an inputSchema with zod/joi/yup on every tool definition.

Tool handlers catch errors

43/55 tool handlers wrap calls in try/catch (78%)

Wrap each tool handler body in try/catch and return a structured error response.

Tests exist

No test files found

Add tests that exercise each declared tool.

Tool description accuracy

export_protein_set: description implies read-only but handler writes/deletes/executes

Update tool descriptions to accurately reflect all capabilities — especially write, delete, or execute operations.

Claim the listing to review these findings one by one and send us a correction where you disagree, straight to the team. Claiming also means we tell you when the grade moves, and reach you first if we find anything urgent.

// full audit trail
The findings above are the summary. The full trail, every check we ran, each deduction, the network hosts observed and the dependency advisories, goes to verified publishers, along with an alert whenever a new one lands. Verified publishers can also review each finding and dispute it in one click. Publisher corrections have sharpened several of our checks this month, because the maintainer knows the codebase better than any scanner.
// improvement guidance — verified publishers only
We have 7 concrete improvements we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.
// embed badge in your README
[![M8ven Verified](https://m8ven.ai/badge/mcp/smaniches/alphafold-sovereign-mcp?variant=verified)](https://m8ven.ai/mcp/smaniches/alphafold-sovereign-mcp)
Shows verification status without the grade. Want the grade badge instead? Remove ?variant=verified from the URL.
commit: 2b9bb0bf51b578238490d36fa3757e7b82ac4c56
code hash: 6bde39acdaad8a2430f6d41d75c71f9c988eefa80046fe914aec15bf51238e71
view raw JSON →
Check MCPs from inside your assistant
Tool Check · MCP

Vetting this one by hand? Tool Check is an MCP that scores other MCPs. Add it once and ask Claude, ChatGPT, or any MCP client to grade a server, surface CVEs, check the publisher, and suggest safer alternatives — before you install.

https://m8ven.ai/api/mcp/tool-check
check_toolsearch_toolscompare_toolsrecommend_alternativescheck_publisherreport_concern
How to add it →Free · no account needed · works in any MCP client