MCP serverorg.virtualflybrain/vfb3-mcp
MCP server for Drosophila neuroscience data from VirtualFlyBrain
Overview
Score?
UNRATED 0.672
of what a free look can see, on 30 looks
Looks
35
last 9 hr ago
Tools
11
changed 23 days ago
More info
URL
vfb3-mcp.virtualflybrain.org/
streamable-http
Says it is
vfb3-mcp-server 1.11.2
protocol 2025-06-18
In the record since
32 days ago
Among servers18,413 with a card
0median 0.606 · this server 0.672 · highest on record 0.8561
Toolsfrom sha256:e0f72ce857…64917d · +2 −0 23 days ago
| Tool | Schema |
|---|---|
| get_hierarchy Build a hierarchy tree for a VFB term, showing ancestors (parents) and/or descendants (children). Use relationship "part_of" for brain region structure (e.g. "what are the parts of |
input · no output |
| get_known_neurotransmitters added Get the KNOWN (curated) neurotransmitter(s) for a Drosophila neuron class and its subclasses, from the ontology's classification rather than per-instance predictions — so there is |
input · no output |
| get_predicted_neurotransmitters added Get the PREDICTED neurotransmitter(s) for a Drosophila neuron class — itself or any subclass — from per-instance connectome predictions (each reconstructed neuron carries a predict |
input · no output |
| get_term_info Get term info for a VFB or anatomy ontology entity (VFB_*, FBbt_*, etc.). THIS IS THE QUERY DISCOVERY TOOL: the response's "Queries" array lists the valid query_type values that ru |
input · no output |
| list_connectome_datasets List available connectome datasets with their labels and symbols. Use the returned symbols when constructing exclude_dbs arguments for query_connectivity. Common datasets include H |
input · no output |
| list_search_facets List the type names search_terms can filter, exclude, boost or demote by, with the number of terms carrying each one. Call this instead of guessing: there are over 200 names, they |
input · no output |
| query_connectivity Query synaptic connectivity between Drosophila neuron classes across ALL connectome datasets simultaneously for comparative connectomics. This is NOT pre-cached — it runs live quer |
input · no output |
| resolve_combination Resolve an unresolved split-GAL4 combination name or synonym into its FBco ID and component hemidrivers. Pass the raw combination text exactly as the user wrote it (for example "MB |
input · no output |
| resolve_entity Resolve an unresolved FlyBase-related query string into VFB/FlyBase IDs and metadata. Pass the raw text exactly as the user wrote it (for example "P{VT054895-GAL4.DBD}", "Hb9-GAL4" |
input · no output |
| run_query Run a pre-computed query on a VFB entity. REQUIRED WORKFLOW: (1) call get_term_info on the ID first; (2) read the response's "Queries" array; (3) pass one of those values as query_ |
input · no output |
| search_terms Search VFB terms. This is the search virtualflybrain.org itself runs — the same Solr query, the same ranking — so what comes back first here is what a user would see first on the s |
input · no output |
Verify it yourself
npx teppi-check https://vfb3-mcp.virtualflybrain.orgcurl -s https://api.teppi.xyz/v1/trust/mcp/mcs_01M1FZ2QFY9G4B2ZEMS11SD9G8