Search / io.github.aikuba/llmconfigurator
protogridR0· no sign-inRead-only: which local LLMs a GPU or Mac can run - VRAM fit, tokens/sec, model specs.
v1.0.0 · active · repository · website · descriptor JSON · versions
{
"mcpServers": {
"llmconfigurator": {
"type": "http",
"url": "https://elgadmisijrfowuujcmu.supabase.co/functions/v1/mcp"
}
}
}claude mcp add --transport http llmconfigurator https://elgadmisijrfowuujcmu.supabase.co/functions/v1/mcp[mcp_servers.llmconfigurator]
url = "https://elgadmisijrfowuujcmu.supabase.co/functions/v1/mcp"
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"llmconfigurator": {
"type": "remote",
"url": "https://elgadmisijrfowuujcmu.supabase.co/functions/v1/mcp",
"enabled": true
}
}
}{
"mcpServers": {
"llmconfigurator": {
"type": "http",
"url": "https://elgadmisijrfowuujcmu.supabase.co/functions/v1/mcp"
}
},
"deeplink": "cursor://anysphere.cursor-deeplink/mcp/install?name=llmconfigurator&config=eyJ0eXBlIjoiaHR0cCIsInVybCI6Imh0dHBzOi8vZWxnYWRtaXNpanJmb3d1dWpjbXUuc3VwYWJhc2UuY28vZnVuY3Rpb25zL3YxL21jcCJ9"
}{
"servers": {
"llmconfigurator": {
"type": "http",
"url": "https://elgadmisijrfowuujcmu.supabase.co/functions/v1/mcp"
}
}
}{
"mcpServers": {
"llmconfigurator": {
"httpUrl": "https://elgadmisijrfowuujcmu.supabase.co/functions/v1/mcp"
}
}
}extensions:
"llmconfigurator":
enabled: true
name: "llmconfigurator"
type: streamable_http
uri: "https://elgadmisijrfowuujcmu.supabase.co/functions/v1/mcp"
timeout: 300
protocol.modernnewest supported version is 2025-11-25; 2026-07-28 not supported, older versions are deprecated until 2027-07-28protocol.statelessonly applies to 2026-07-28 serversprotocol.transportstreamable HTTPprotocol.list_ttlonly applies to 2026-07-28 serversauth.prm, auth.as_metadata, auth.cimdno remote uses OAuthauth.secret_in_urlno templated URLtools.descriptionsevery tool has a descriptiontools.description_lengthdescriptions are concisetools.schemasevery tool has an object input schematools.annotations5 of 5 tools declare readOnlyHint or destructiveHinttools.directory_hintsevery tool declares readOnlyHint, destructiveHint, idempotentHint and openWorldHinttools.token_costabout 1,226 tokens to load every tooltools.api_dumptools are not a one-to-one API dumpstability.changesno tool changes in 30 daysstability.rug_pullno tool changed its meaning under the same namedeps.known_vulns, deps.mcp_sdk_version, deps.resolvableno npm or PyPI packageNo tool definition changes recorded. A server's first observation is its baseline; later probes record what changes.
Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed. How it is computed.
+repository +namespace-matches-repo +website +reachable +uptime-99% +updated-18d-ago
Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed. How it is computed.
| remote | auth | reachable | uptime 30d | p50 | protocol | last ok |
|---|---|---|---|---|---|---|
https://elgadmisijrfowuujcmu.supabase.co/functions/v1/mcp streamable-http | none | yes | 99% | 350 ms | 2025-11-25 | 2026-10-20 |
check_hardware_fitread-only | Use this when the user asks whether one specific model runs on one specific machine, at what memory cost, and roughly how fast. Needs a hardware id and a model id from search_catalog. Returns a fit verdict, the memory arithmetic, and a decode-speed range with a confidence label. Memory is sized from all parameters, speed from active parameters. It does not recommend purchases and does not run anything. |
compare_hardwareread-only | Use this when the user compares two to four machines. Needs hardware ids from search_catalog. Returns memory, bandwidth, memory type, release year, status and a dated price where one is recorded, side by side. A price of null means none is on record. It does not check any model against the machines; use check_hardware_fit for that. |
get_model_specsread-only | Use this when the user asks about one model's size, architecture, context window or licence. Needs a model id from search_catalog. Returns total and active parameters, weight size per quantisation, context length, licence, release date and sources. It does not say whether the model fits any machine; use check_hardware_fit for that. |
models_for_hardwareread-only | Use this when the user asks what models a given machine can run. Needs a hardware id from search_catalog. Returns up to 20 catalogue models ranked for that machine, each with a fit verdict and a speed range, optionally filtered to one use such as coding. It covers only models in the catalogue, at one quantisation and context length per call, and leaves out models that do not fit. |
search_catalogread-only | Use this first when the user names a GPU, Mac, mini PC or language model and you need its id for the other tools. Matches names and common aliases in a fixed catalogue of local-LLM hardware and models. It does not return specs, fit or speed, and it does not search the web. |
Schemas: list_tools.
{
"name": "io.github.aikuba/llmconfigurator",
"title": "LLM Configurator",
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"remotes": [
{
"url": "https://elgadmisijrfowuujcmu.supabase.co/functions/v1/mcp",
"type": "streamable-http"
}
],
"version": "1.0.0",
"repository": {
"url": "https://github.com/aikuba/LLMconfigurator.com",
"source": "github"
},
"websiteUrl": "https://llmconfigurator.com/en/mcp",
"description": "Read-only: which local LLMs a GPU or Mac can run - VRAM fit, tokens/sec, model specs."
}