codebase-memory-mcp
High-performance code intelligence MCP server. Indexes codebases into a persistent knowledge graph — average repo in milliseconds. 158 languages, sub-ms queries, 99% fewer tokens. Single static binary, zero dependencies.
MCP server by aabhisrv · ★ 3 · updated 1 month ago
Deterministic context layer for your codebase: change impact, blast radius, answers with receipts.
Choose your AI client and copy the config.
Add to claude_desktop_config.json — macOS: ~/Library/Application Support/Claude/, Windows: %APPDATA%\Claude\. Then restart Claude. Setup guide
{
"mcpServers": {
"spiderbrain-ai-coremind": {
"command": "npx",
"args": [
"-y",
"spiderbrain"
]
}
}
}Or add to ~/.cursor/mcp.json (global) or .cursor/mcp.json (project). Setup guide
{
"mcpServers": {
"spiderbrain-ai-coremind": {
"command": "npx",
"args": [
"-y",
"spiderbrain"
]
}
}
}Or add to .vscode/mcp.json in your workspace. Setup guide
{
"servers": {
"spiderbrain-ai-coremind": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"spiderbrain"
]
}
}
}Cascade → Actions → Open MCP config file (often ~/.config/devin/mcp_config.json). Setup guide
{
"mcpServers": {
"spiderbrain-ai-coremind": {
"command": "npx",
"args": [
"-y",
"spiderbrain"
]
}
}
}Run in your terminal: Setup guide
claude mcp add spiderbrain-ai-coremind -- npx -y spiderbrainCLI or add to ~/.codex/config.toml. Setup guide
codex mcp add spiderbrain-ai-coremind -- npx -y spiderbrain[mcp_servers.spiderbrain-ai-coremind]
command = "npx"
args = ["-y", "spiderbrain"]Cline panel → Configure MCP Servers, or ~/.cline/data/settings/cline_mcp_settings.json. Setup guide
{
"mcpServers": {
"spiderbrain-ai-coremind": {
"command": "npx",
"args": [
"-y",
"spiderbrain"
]
}
}
}Run the server directly:
npx -y spiderbrainHigh-performance code intelligence MCP server. Indexes codebases into a persistent knowledge graph — average repo in milliseconds. 158 languages, sub-ms queries, 99% fewer tokens. Single static binary, zero dependencies.
A powerful MCP toolkit for coding, providing semantic retrieval and editing capabilities - the IDE for your agent
Packs a whole repository into one AI-friendly file; run with --mcp to let assistants pack and read local or remote codebases.
A Model Context Protocol (MCP) server that helps large language models index, search, and analyze code repositories with minimal setup
Save 94% on AI coding tokens. Index your codebase, agents search instead of reading files. Works with Claude Code, Codex, Copilot, Cursor, Gemini CLI. Local MCP server, free, open source.
MCP Server for code graph analysis and visualization by CodeGPT