Model Context Protocol server for Logseq knowledge base integration with AI assistants
接入配置
选择客户端,复制配置,再按项目文档补齐环境变量。
claude mcp add logseq-ai-powered-knowledge-base-integra --env LOGSEQ_API_URL='<LOGSEQ_API_URL>' --env LOGSEQ_API_TOKEN='<LOGSEQ_API_TOKEN>' -- npx logseq-mcp-server~/.codex/config.toml
[mcp_servers.logseq-ai-powered-knowledge-base-integra]
command = "npx"
args = ["logseq-mcp-server"]
env = { LOGSEQ_API_URL = "<LOGSEQ_API_URL>", LOGSEQ_API_TOKEN = "<LOGSEQ_API_TOKEN>" }
# codex mcp add logseq-ai-powered-knowledge-base-integra --env LOGSEQ_API_URL='<LOGSEQ_API_URL>' --env LOGSEQ_API_TOKEN='<LOGSEQ_API_TOKEN>' -- npx logseq-mcp-server~/.cursor/mcp.json
{
"mcpServers": {
"logseq-ai-powered-knowledge-base-integra": {
"command": "npx",
"args": [
"logseq-mcp-server"
],
"env": {
"LOGSEQ_API_URL": "<LOGSEQ_API_URL>",
"LOGSEQ_API_TOKEN": "<LOGSEQ_API_TOKEN>"
}
}
}
}.vscode/mcp.json
{
"servers": {
"logseq-ai-powered-knowledge-base-integra": {
"type": "stdio",
"command": "npx",
"args": [
"logseq-mcp-server"
],
"env": {
"LOGSEQ_API_URL": "<LOGSEQ_API_URL>",
"LOGSEQ_API_TOKEN": "<LOGSEQ_API_TOKEN>"
}
}
}
}~/.gemini/settings.json
{
"mcpServers": {
"logseq-ai-powered-knowledge-base-integra": {
"command": "npx",
"args": [
"logseq-mcp-server"
],
"env": {
"LOGSEQ_API_URL": "<LOGSEQ_API_URL>",
"LOGSEQ_API_TOKEN": "<LOGSEQ_API_TOKEN>"
}
}
}
}claude_desktop_config.json
{
"mcpServers": {
"logseq-ai-powered-knowledge-base-integra": {
"command": "npx",
"args": [
"logseq-mcp-server"
],
"env": {
"LOGSEQ_API_URL": "<LOGSEQ_API_URL>",
"LOGSEQ_API_TOKEN": "<LOGSEQ_API_TOKEN>"
}
}
}
}.trae/mcp.json
{
"mcpServers": {
"logseq-ai-powered-knowledge-base-integra": {
"command": "npx",
"args": [
"logseq-mcp-server"
],
"env": {
"LOGSEQ_API_URL": "<LOGSEQ_API_URL>",
"LOGSEQ_API_TOKEN": "<LOGSEQ_API_TOKEN>"
}
}
}
}需要的环境变量
LOGSEQ_API_URLLOGSEQ_API_TOKEN
把占位值换成你自己的密钥;不要把密钥提交到代码仓库。