Schema | cxg-census-mcp

cxg-census-mcp

Describes the environment variables required to run the server.

Name	Required	Description	Default
`CXG_CENSUS_MCP_CACHE_DIR`	No	Disk cache root	platformdirs default
`CXG_CENSUS_MCP_LOG_LEVEL`	No	stdlib log level	WARNING
`CXG_CENSUS_MCP_MOCK_MODE`	No	If 1, never opens a real Census handle	0
`CXG_CENSUS_MCP_CENSUS_VERSION`	No	Census release to pin	stable

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Features and capabilities supported by this server

Protocol revision2025-11-25

Capability	Details
`tools`	{ "listChanged": false }
`prompts`	{ "listChanged": false }
`resources`	{ "subscribe": false, "listChanged": false }
`experimental`	{}

Functions exposed to the LLM to take actions

Name	Description
census_summaryC	Pinned Census summary: cells, schema, build date.
get_census_versionsA	List available Census versions visible to this server.
list_available_valuesC	Distinct values for an obs column (discovery before resolve_term).
resolve_termC	Resolve text or CURIE to one term; typed refusal if ambiguous.
expand_termC	Expand a CURIE to descendants/ancestors filtered to Census presence.
term_definitionA	Return label, definition, synonyms, IRI for a CURIE.
count_cellsC	Count cells (filters + optional group_by); tier 0.
list_datasetsC	List datasets matching a structured filter, sorted by cell count.
gene_coverageC	Report whether a list of Ensembl gene IDs is present in Census var.
preview_obsC	Small obs slice + column cardinality (before a big scan).
aggregate_expressionC	Per-gene expression stats by group; caps → export_snippet if over.
export_snippetC	Runnable Python for a stored plan; pass call_id from a prior response.
get_server_limitsB	Report cap configuration so clients can size their requests.

Interactive templates invoked by user choice

Name	Description
`census_workflow`	Default workflow guidance for Census exploration.
`disambiguation`	How to handle TERM_AMBIGUOUS responses.

Contextual data attached and managed by the client

Name	Description
`Census schema overview`	Census schema overview
`Ontology resolution rules`	Ontology resolution rules
`Server limitations and non-goals`	Server limitations and non-goals
`Recommended agent workflow`	Recommended agent workflow
`Structured error model`	Structured error model
`Progress and cancellation`	Progress and cancellation

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/MaxMLang/cxg-census-mcp'

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