Efficient context management: code search, evidence packs, and memory for coding agents.
registry version 0.1.0
npm
npx -y @inferensys/contextfulnpm
npx -y @inferensys/contextful@0.1.0
Pick your client — the config below is generated for this server (local stdio). Copy respects the “Pin version” switch above.
claude_desktop_config.json
{
"mcpServers": {
"contextful": {
"command": "npx",
"args": [
"-y",
"@inferensys/contextful"
]
}
}
}{
"mcpServers": {
"contextful": {
"command": "npx",
"args": [
"-y",
"@inferensys/contextful@0.1.0"
]
}
}
}Format verified against the official Claude Desktop docs ↗.
terminal
claude mcp add contextful -- npx -y @inferensys/contextful
claude mcp add contextful -- npx -y @inferensys/contextful@0.1.0
Format verified against the official Claude Code docs ↗.
.cursor/mcp.json
{
"mcpServers": {
"contextful": {
"command": "npx",
"args": [
"-y",
"@inferensys/contextful"
]
}
}
}{
"mcpServers": {
"contextful": {
"command": "npx",
"args": [
"-y",
"@inferensys/contextful@0.1.0"
]
}
}
}Format verified against the official Cursor docs ↗.
.vscode/mcp.json
{
"servers": {
"contextful": {
"command": "npx",
"args": [
"-y",
"@inferensys/contextful"
]
}
}
}{
"servers": {
"contextful": {
"command": "npx",
"args": [
"-y",
"@inferensys/contextful@0.1.0"
]
}
}
}Format verified against the official VS Code docs ↗.
mcp_config.json
{
"mcpServers": {
"contextful": {
"command": "npx",
"args": [
"-y",
"@inferensys/contextful"
]
}
}
}{
"mcpServers": {
"contextful": {
"command": "npx",
"args": [
"-y",
"@inferensys/contextful@0.1.0"
]
}
}
}Format verified against the official Windsurf docs ↗.
⭐ 5 stars · 最近更新于 159 天前 · MIT license
Contextful ⚠️ This is in early alpha. The API, features, and integrations are not stable. Expect breaking changes. Feedback & contributions are very welcome! Local Context Management + Search Engine + Memory for Agentic AI. Contextful is a runtime contextual layer and local search engine for agents…
Summary from the project README — github.com/Inferensys/contextful
Distributed as npm, listed under Developer Tools. Review our MCP security guide before granting access to real data.
Contextful ⚠️ This is in early alpha. The API, features, and integrations are not stable. Expect breaking changes. Feedback & contributions are very welcome! Local Context Management + Search Engine + Memory for Agentic AI. Contextful is a runtime contextual layer and local search engine for agents
Run the install command shown above, then paste the config for your client (Claude Desktop, Claude Code, Cursor, VS Code or Windsurf) into its MCP settings and restart the client.
The MCP server itself is free to install. The source is public on https://github.com/Inferensys/contextful. Any third-party service it calls may require its own API key and account.
Any MCP-compatible client can use it, including Claude Desktop, Claude Code, Cursor, VS Code, Windsurf and custom agents.
Publish this server? Link back with a badge on your README or site — copy either snippet.
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