Seshat MCP vs Cbioportal — MCP Server Comparison | AllMCPs
Side-by-Side Model Context Protocol Comparison
Seshat MCP vs Cbioportal
In-depth architectural comparison of the Seshat MCP and Cbioportal MCP servers. Compare execution transports, security boundaries, tool capabilities, quality scores, and ready-to-paste client installation snippets for Claude, Cursor, Windsurf, and VS Code.
At a Glance & Executive Verdict
Seshat MCP
Biology & Bioinformatics · Local stdio
Quality: 52/100 (Good) | Auth: No auth required
Cbioportal
Biology & Bioinformatics · Local stdio
Quality: 51/100 (Good) | Auth: No auth required
Verdict Summary: Choose Seshat MCP if you need specialized Biology & Bioinformatics tools running via a local process. Choose Cbioportal if your workspace requires Biology & Bioinformatics integration with local subprocess execution. Both servers can be configured concurrently in your client's mcpServers manifest.
Which MCP Server Should You Choose?
S
Choose Seshat MCP when:
You need dedicated capabilities in the Biology & Bioinformatics domain.
You prefer local stdio subprocess transport architecture.
Your security boundary fits: No auth required (Free / Open Source).
Seshat MCP is categorized under Biology & Bioinformatics and uses a local stdio subprocess. In contrast, Cbioportal belongs to Biology & Bioinformatics using local stdio subprocess. Select Seshat MCP when you need capabilities focused on biology & bioinformatics and Cbioportal when you require tools for biology & bioinformatics.
everything that breaks if you change it, transitively
get_data_flow
what a function reads, returns, and mutates
get_optimal_context
the minimal, ranked set of files to read before editing
find_by_constraint
every function that touches a given table (or carries a given trait)
find_dead_code
unreachable symbols, safe to delete
query_call_sites
calls by their state: async calls never awaited (floating promises,
+3 more tools listed on main page
Cbioportal Tools (4)
search_studies
Search public cancer genomics studies in cBioPortal (TCGA, CPTAC, MSK, etc.) by keyword. Matches study name, study id, or cancer-type id (case-insensitive). Returns study ids, names, cancer types, and sample counts. Keyless, open data.
get_study
Get full details for one cBioPortal cancer study by its study id (e.g. "brca_tcga_pub", "glioma_mskcc_2019"), including description, cancer type, sample count, PMID, and citation.
get_gene
Resolve a gene to its Entrez gene id and canonical info via cBioPortal. Accepts a HUGO symbol (e.g. "TP53", "BRCA1") or an Entrez gene id. Returns entrez_gene_id, symbol, and type.
list_cancer_types
List cancer types defined in cBioPortal (id, display name, parent type). Useful for resolving cancer-type ids used by studies.