Search / io.github.Agentled/mcp-server
mcp-server
L0· runs locallyIntelligent AI workflow orchestration with long-term memory, 100+ integrations, and unified credits.
v0.20.1 · active · repository · descriptor JSON · versions
Search / io.github.Agentled/mcp-server
L0· runs locallyIntelligent AI workflow orchestration with long-term memory, 100+ integrations, and unified credits.
v0.20.1 · active · repository · descriptor JSON · versions
{
"mcpServers": {
"Agentled": {
"command": "npx",
"args": [
"-y",
"@agentled/[email protected]"
],
"env": {
"AGENTLED_API_KEY": "${AGENTLED_API_KEY}"
}
}
}
}claude mcp add Agentled -e "AGENTLED_API_KEY=${AGENTLED_API_KEY}" -- npx -y @agentled/[email protected][mcp_servers.Agentled]
command = "npx"
args = ["-y", "@agentled/[email protected]"]
env = { "AGENTLED_API_KEY" = "${AGENTLED_API_KEY}" }
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"Agentled": {
"type": "local",
"command": [
"npx",
"-y",
"@agentled/[email protected]"
],
"enabled": true,
"environment": {
"AGENTLED_API_KEY": "{env:AGENTLED_API_KEY}"
}
}
}
}{
"mcpServers": {
"Agentled": {
"command": "npx",
"args": [
"-y",
"@agentled/[email protected]"
],
"env": {
"AGENTLED_API_KEY": "${AGENTLED_API_KEY}"
}
}
},
"deeplink": "cursor://anysphere.cursor-deeplink/mcp/install?name=Agentled&config=eyJjb21tYW5kIjoibnB4IiwiYXJncyI6WyIteSIsIkBhZ2VudGxlZC9tY3Atc2VydmVyQDAuMjAuMSJdLCJlbnYiOnsiQUdFTlRMRURfQVBJX0tFWSI6IiR7QUdFTlRMRURfQVBJX0tFWX0ifX0%3D"
}{
"servers": {
"Agentled": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@agentled/[email protected]"
],
"env": {
"AGENTLED_API_KEY": "${AGENTLED_API_KEY}"
}
}
}
}{
"mcpServers": {
"Agentled": {
"command": "npx",
"args": [
"-y",
"@agentled/[email protected]"
],
"env": {
"AGENTLED_API_KEY": "${AGENTLED_API_KEY}"
}
}
}
}extensions:
"Agentled":
enabled: true
name: "Agentled"
type: stdio
cmd: "npx"
args:
- "-y"
- "@agentled/[email protected]"
envs:
"AGENTLED_API_KEY": "${AGENTLED_API_KEY}"
timeout: 300
Placeholders to fill from your own secret store: ${AGENTLED_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 100 resolved packagesdeps.mcp_sdk_version@modelcontextprotocol/sdk 1.32.1, no known advisorydeps.resolvable@agentled/[email protected] resolved: 100 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 ~liveness-unmeasured +updated-4d-ago
Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed. How it is computed.
@agentled/[email protected] npm99 dependencies, resolved · MCP SDK @modelcontextprotocol/sdk 1.32.1 · advisories checked 2026-10-19
No known advisory affects this dependency graph.
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 |
|---|---|---|---|---|
@agentled/mcp-server | npm | 0.20.1 | – | AGENTLED_API_KEY |
No tools observed. Local packages are never executed by the registry.
Schemas: list_tools.
{
"name": "io.github.Agentled/mcp-server",
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"version": "0.20.1",
"packages": [
{
"version": "0.20.1",
"transport": {
"type": "stdio"
},
"identifier": "@agentled/mcp-server",
"registryType": "npm",
"environmentVariables": [
{
"name": "AGENTLED_API_KEY",
"format": "string",
"isSecret": true,
"isRequired": true,
"description": "Your AgentLed workspace API key (generate in Workspace Settings > Developer)"
}
]
}
],
"repository": {
"url": "https://github.com/Agentled/mcp-server",
"source": "github"
},
"description": "Intelligent AI workflow orchestration with long-term memory, 100+ integrations, and unified credits."
}