Context Management Layer for Agentic AI. Graph-based knowledge context, SQLite index, advanced FTS5 lexical/BM25 search and cross-session live memory.
Setup
Choose your client, copy the config, then fill in any required environment variables.
claude mcp add contextful -- npx -y @inferensys/contextful~/.codex/config.toml
[mcp_servers.contextful]
command = "npx"
args = ["-y", "@inferensys/contextful"]
# codex mcp add contextful -- npx -y @inferensys/contextful~/.cursor/mcp.json
{
"mcpServers": {
"contextful": {
"command": "npx",
"args": [
"-y",
"@inferensys/contextful"
]
}
}
}.vscode/mcp.json
{
"servers": {
"contextful": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@inferensys/contextful"
]
}
}
}~/.gemini/settings.json
{
"mcpServers": {
"contextful": {
"command": "npx",
"args": [
"-y",
"@inferensys/contextful"
]
}
}
}claude_desktop_config.json
{
"mcpServers": {
"contextful": {
"command": "npx",
"args": [
"-y",
"@inferensys/contextful"
]
}
}
}.trae/mcp.json
{
"mcpServers": {
"contextful": {
"command": "npx",
"args": [
"-y",
"@inferensys/contextful"
]
}
}
}