
Virtual Fly Brain MCP server
Which MCP servers are Virtual Fly Brain's own, from the official registry and from asking its own domain, whether they answer, and what they offer. A program checked each of these, nobody copied them from a product page.
read 2026-10-16
- Registry nameorg.virtualflybrain/vfb3-mcpverified in the MCP registry
The registry name sits under virtualflybrain.org. The registry only lets a publisher use that namespace after proving control of the domain through DNS or HTTP.
- Stateanswerschecked 2026-10-16
- Tools11
- Server calls itselfvfb3-mcp-server
- Server version1.11.2
- Protocol version2025-06-18
On 2026-10-16 the server answered initialize and tools/list without a sign-in. First answer in 482 ms.
- Whether its tools do the product's job has not been judged yet.
Said by rules from the measurements above. The likely first call is a model's pick from the tool list; read its description before relying on it.
- INITE MCP score83 of 100answers 100 · definitions 83 · context 81 · use 25 · connects 100
- Use9 GitHub stars
- Answered100% of days9 of 9 daily checks
- Median first answer490 ms
- Space in an agent's context≈ 5,987 tokensthe definitions of all its tools (11), which an agent carries on every turn
- Tool definitionsB · 83 of 100
- Typed results0 of 11 toolsdeclared outputSchema: results come typed, read once
- Not saying whether it only reads or can destroy: 11 of 11
What an agent can do with it
- not sure · find neurons that innervate a specified brain region
- not sure · find neurons similar in shape to a given neuron
- not sure · explore synaptic connections across published connectomes
Each of the product's use cases, put to Jev against this server's tool list: can an agent do it with these tools?
Worth a look
None of the five warning signs in these definitions.
A program checks the server once a day: initialize and tools/list, no model. Tokens are the definitions' length at about four characters a token. The grade averages six checks of every tool's name, description, schema and annotations; it says how well the tools are described, not whether they work. The score weighs what was measured and nothing else: answering (25%), doing the product's job (25%), definitions (20%), context (10%), use (10%) and how readily a client connects (10%). A part that was not measured is left out, and a hidden instruction caps the score at 40. The state of vendors' MCP servers: method and numbers →
get_term_infoGet 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 run_query accepts for this entity. ALWAYS call get_term_info…
run_queryRun 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_type. Calling run_query with a guessed query_type will…
search_termsSearch 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 site. USE filter_types BY DEFAULT. Unfiltered searches mix…
list_search_facetsList 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 are the index's own annotations rather than a curated…
resolve_entityResolve 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", "SS04495", "MB002B", "PAM cluster", or "dpp"). Do NOT…
resolve_combinationResolve 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 "MB002B" or "SS04495"). Do NOT pass an FBco ID; if you…
list_connectome_datasetsList available connectome datasets with their labels and symbols. Use the returned symbols when constructing exclude_dbs arguments for query_connectivity. Common datasets include Hemibrain (hb), FAFB (fafb), MANC, and others. Call this…
query_connectivityQuery synaptic connectivity between Drosophila neuron classes across ALL connectome datasets simultaneously for comparative connectomics. This is NOT pre-cached — it runs live queries, so expect slow responses (up to several minutes). Set…
get_predicted_neurotransmittersGet the PREDICTED neurotransmitter(s) for a Drosophila neuron class — itself or any subclass — from per-instance connectome predictions (each reconstructed neuron carries a predicted transmitter with a confidence). Use this for "what…
get_known_neurotransmittersGet 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 no confidence. Use this for "what neurotransmitter is…
get_hierarchyBuild 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 the mushroom body?") and "subclass_of" for cell type…
How to connect
Add the server to your MCP client config. Claude Desktop, Cursor and most other clients read this shape:
{
"mcpServers": {
"vfb3-mcp": {
"type": "http",
"url": "https://vfb3-mcp.virtualflybrain.org"
}
}
}Add it
Claude Code, in a terminal
claude mcp add --transport http virtualflybrain https://vfb3-mcp.virtualflybrain.orgclaude.ai, ChatGPT and other clients: add https://vfb3-mcp.virtualflybrain.org as a custom connector in the settings.
Each line is something a program found when it went looking: the registry entry, the server's own answer, a spec that parses. A missing line means we did not find it, not that it does not exist.
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