Search / io.github.abahocodes/llmgraph
llmgraph
L0· runs locallyInvoke deployed LLMGraph no-code LLM workflows (chat, RAG, automations) as MCP tools.
v0.1.1 · active · repository · website · descriptor JSON · versions
Search / io.github.abahocodes/llmgraph
L0· runs locallyInvoke deployed LLMGraph no-code LLM workflows (chat, RAG, automations) as MCP tools.
v0.1.1 · active · repository · website · descriptor JSON · versions
{
"mcpServers": {
"llmgraph": {
"command": "npx",
"args": [
"-y",
"@llmgraph/[email protected]"
],
"env": {
"LLMGRAPH_ENDPOINT": "${LLMGRAPH_ENDPOINT}",
"LLMGRAPH_API_KEY": "${LLMGRAPH_API_KEY}"
}
}
}
}claude mcp add llmgraph -e "LLMGRAPH_ENDPOINT=${LLMGRAPH_ENDPOINT}" -e "LLMGRAPH_API_KEY=${LLMGRAPH_API_KEY}" -- npx -y @llmgraph/[email protected][mcp_servers.llmgraph]
command = "npx"
args = ["-y", "@llmgraph/[email protected]"]
env = { "LLMGRAPH_ENDPOINT" = "${LLMGRAPH_ENDPOINT}", "LLMGRAPH_API_KEY" = "${LLMGRAPH_API_KEY}" }
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"llmgraph": {
"type": "local",
"command": [
"npx",
"-y",
"@llmgraph/[email protected]"
],
"enabled": true,
"environment": {
"LLMGRAPH_ENDPOINT": "{env:LLMGRAPH_ENDPOINT}",
"LLMGRAPH_API_KEY": "{env:LLMGRAPH_API_KEY}"
}
}
}
}{
"mcpServers": {
"llmgraph": {
"command": "npx",
"args": [
"-y",
"@llmgraph/[email protected]"
],
"env": {
"LLMGRAPH_ENDPOINT": "${LLMGRAPH_ENDPOINT}",
"LLMGRAPH_API_KEY": "${LLMGRAPH_API_KEY}"
}
}
},
"deeplink": "cursor://anysphere.cursor-deeplink/mcp/install?name=llmgraph&config=eyJjb21tYW5kIjoibnB4IiwiYXJncyI6WyIteSIsIkBsbG1ncmFwaC9tY3Atc2VydmVyQDAuMS4xIl0sImVudiI6eyJMTE1HUkFQSF9FTkRQT0lOVCI6IiR7TExNR1JBUEhfRU5EUE9JTlR9IiwiTExNR1JBUEhfQVBJX0tFWSI6IiR7TExNR1JBUEhfQVBJX0tFWX0ifX0%3D"
}{
"servers": {
"llmgraph": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@llmgraph/[email protected]"
],
"env": {
"LLMGRAPH_ENDPOINT": "${LLMGRAPH_ENDPOINT}",
"LLMGRAPH_API_KEY": "${LLMGRAPH_API_KEY}"
}
}
}
}{
"mcpServers": {
"llmgraph": {
"command": "npx",
"args": [
"-y",
"@llmgraph/[email protected]"
],
"env": {
"LLMGRAPH_ENDPOINT": "${LLMGRAPH_ENDPOINT}",
"LLMGRAPH_API_KEY": "${LLMGRAPH_API_KEY}"
}
}
}
}extensions:
"llmgraph":
enabled: true
name: "llmgraph"
type: stdio
cmd: "npx"
args:
- "-y"
- "@llmgraph/[email protected]"
envs:
"LLMGRAPH_ENDPOINT": "${LLMGRAPH_ENDPOINT}"
"LLMGRAPH_API_KEY": "${LLMGRAPH_API_KEY}"
timeout: 300
Placeholders to fill from your own secret store: ${LLMGRAPH_API_KEY}. The registry never accepts secret values.
This is a local package: the command runs on your machine.
Not scored: fewer than three checks apply, usually because no remote answered a credential-free probe or the server is a local package.
protocol.modern, protocol.stateless, protocol.transport, protocol.list_ttlno remote answered a protocol handshake (not probed yet, unreachable, or local-only)auth.prm, auth.as_metadata, auth.cimdno remote uses OAuthauth.secret_in_urlno templated URLtools.descriptions, tools.description_length, tools.schemas, tools.annotations, tools.directory_hints, tools.token_cost, tools.api_dumptool list unknown (behind auth, not probed, or empty)stability.changes, stability.rug_pulltool list unknowndeps.known_vulnsno known advisory in 98 resolved packagesdeps.mcp_sdk_version@modelcontextprotocol/sdk 1.30.1 has 1 known advisory (GHSA-6qxp-vccf-f47h); update @modelcontextprotocol/sdk to 1.31.0 or laterdeps.resolvable@llmgraph/[email protected] resolved: 98 packagesNo 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 ~liveness-unmeasured ~updated-97d-ago
Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed. How it is computed.
@llmgraph/[email protected] npm97 dependencies, resolved · MCP SDK @modelcontextprotocol/sdk 1.30.1 · advisories checked 2026-10-19
| advisory | severity | package | fixed in |
|---|---|---|---|
| GHSA-6qxp-vccf-f47hMCP TypeScript SDK: OAuth client could send credentials to an authorization server chosen by the MCP server | high | @modelcontextprotocol/[email protected]MCP SDK, direct | fixed in 1.31.0 |
Dependency graphs from deps.dev; advisories from OSV.dev, including the GitHub Advisory Database and the PyPI Advisory Database; all CC BY 4.0. The graph is what a clean install of this version resolves today; nothing was installed or run. How it is checked.
| package | registry | version | runtime | secrets |
|---|---|---|---|---|
@llmgraph/mcp-server | npm | 0.1.1 | – | LLMGRAPH_API_KEY |
No tools observed. Local packages are never executed by the registry.
Schemas: list_tools.
{
"name": "io.github.abahocodes/llmgraph",
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"version": "0.1.1",
"packages": [
{
"version": "0.1.1",
"transport": {
"type": "stdio"
},
"identifier": "@llmgraph/mcp-server",
"registryType": "npm",
"environmentVariables": [
{
"name": "LLMGRAPH_ENDPOINT",
"format": "string",
"isRequired": true,
"description": "Full deployment endpoint URL from the LLMGraph dashboard, e.g. https://llmgraph.ai/api/<graph_id>/<environment>"
},
{
"name": "LLMGRAPH_API_KEY",
"format": "string",
"isSecret": true,
"isRequired": true,
"description": "API key for the deployment"
}
]
}
],
"repository": {
"url": "https://github.com/abahocodes/llmgraph-mcp-server",
"source": "github"
},
"websiteUrl": "https://llmgraph.ai",
"description": "Invoke deployed LLMGraph no-code LLM workflows (chat, RAG, automations) as MCP tools."
}