Produces probabilistic time-series forecasts from Chronos-2, TimesFM 2.5, Toto 2, TiRex-2 and IBM Granite foundation models.
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。
本地运行
claude mcp add ephemeris-tensorlink-ai --env EPHEMERIS_API_KEY='<EPHEMERIS_API_KEY>' -- npx -y ephemeris-mcp~/.codex/config.toml
[mcp_servers.ephemeris-tensorlink-ai]
command = "npx"
args = ["-y", "ephemeris-mcp"]
env = { EPHEMERIS_API_KEY = "<EPHEMERIS_API_KEY>" }
# codex mcp add ephemeris-tensorlink-ai --env EPHEMERIS_API_KEY='<EPHEMERIS_API_KEY>' -- npx -y ephemeris-mcp~/.cursor/mcp.json
{
"mcpServers": {
"ephemeris-tensorlink-ai": {
"command": "npx",
"args": [
"-y",
"ephemeris-mcp"
],
"env": {
"EPHEMERIS_API_KEY": "<EPHEMERIS_API_KEY>"
}
}
}
}.vscode/mcp.json
{
"servers": {
"ephemeris-tensorlink-ai": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"ephemeris-mcp"
],
"env": {
"EPHEMERIS_API_KEY": "<EPHEMERIS_API_KEY>"
}
}
}
}~/.gemini/settings.json
{
"mcpServers": {
"ephemeris-tensorlink-ai": {
"command": "npx",
"args": [
"-y",
"ephemeris-mcp"
],
"env": {
"EPHEMERIS_API_KEY": "<EPHEMERIS_API_KEY>"
}
}
}
}claude_desktop_config.json
{
"mcpServers": {
"ephemeris-tensorlink-ai": {
"command": "npx",
"args": [
"-y",
"ephemeris-mcp"
],
"env": {
"EPHEMERIS_API_KEY": "<EPHEMERIS_API_KEY>"
}
}
}
}.trae/mcp.json
{
"mcpServers": {
"ephemeris-tensorlink-ai": {
"command": "npx",
"args": [
"-y",
"ephemeris-mcp"
],
"env": {
"EPHEMERIS_API_KEY": "<EPHEMERIS_API_KEY>"
}
}
}
}远程托管
claude mcp add --transport http ephemeris-tensorlink-ai https://ephemeris.cascade.industries/api/mcp --header 'Authorization: <AUTHORIZATION>'~/.codex/config.toml
[mcp_servers.ephemeris-tensorlink-ai]
url = "https://ephemeris.cascade.industries/api/mcp"
http_headers = { Authorization = "<AUTHORIZATION>" }
# codex mcp add ephemeris-tensorlink-ai --url https://ephemeris.cascade.industries/api/mcp~/.cursor/mcp.json
{
"mcpServers": {
"ephemeris-tensorlink-ai": {
"url": "https://ephemeris.cascade.industries/api/mcp",
"headers": {
"Authorization": "<AUTHORIZATION>"
}
}
}
}.vscode/mcp.json
{
"servers": {
"ephemeris-tensorlink-ai": {
"type": "http",
"url": "https://ephemeris.cascade.industries/api/mcp",
"headers": {
"Authorization": "<AUTHORIZATION>"
}
}
}
}~/.gemini/settings.json
{
"mcpServers": {
"ephemeris-tensorlink-ai": {
"httpUrl": "https://ephemeris.cascade.industries/api/mcp",
"headers": {
"Authorization": "<AUTHORIZATION>"
}
}
}
}claude_desktop_config.json · Customize › Connectors › Add custom connector
{
"mcpServers": {
"ephemeris-tensorlink-ai": {
"command": "npx",
"args": [
"-y",
"mcp-remote",
"https://ephemeris.cascade.industries/api/mcp",
"--header",
"Authorization:<AUTHORIZATION>"
]
}
}
}.trae/mcp.json
{
"mcpServers": {
"ephemeris-tensorlink-ai": {
"url": "https://ephemeris.cascade.industries/api/mcp",
"headers": {
"Authorization": "<AUTHORIZATION>"
}
}
}
}需要的环境变量
EPHEMERIS_API_KEY
把占位值换成你自己的密钥；不要把密钥提交到代码仓库。