Code intelligence for 15+ languages: semantic graph queries instead of file reads. 37 MCP tools.
{
"mcpServers": {
"io-github-aovestdipaperino-tokensave": {
"command": "<see-readme>",
"args": []
}
}
}No install config available. Check the server's README for setup instructions.
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Code intelligence for 15+ languages: semantic graph queries instead of file reads. 37 MCP tools.
Is it safe?
No package registry to scan.
No authentication — any process on your machine can connect.
License not specified.
Is it maintained?
Commit history unknown.
Will it work with my client?
Transport: stdio. Works with Claude Desktop, Cursor, Claude Code, and most MCP clients.
Fewer tokens • Fewer tool calls • 100% local
AI coding agents waste tokens exploring codebases. Every grep, glob, and file read costs money. On complex tasks, agents spawn multiple Explore sub-agents that scan hundreds of files just to build context.
tokensave gives agents a pre-indexed semantic knowledge graph. Instead of scanning files, the agent queries the graph and gets instant, structured answers -- the right symbols, their relationships, and source code, in one call.
┌──────────────────────────────────────────────────────────────┐
│ AI Coding Agent (Claude Code, Codex, Gemini, Cursor, ...) │
│ │
│ "Implement user authentication" │
│ │ │
│ ▼ │
│ ┌─────────────────┐ ┌─────────────────┐ │
│ │ Sub-agent │ ───── │ Sub-agent │ │
│ └────────┬────────┘ └─────────┬───────┘ │
└───────────┼──────────────────────────┼───────────────────────┘
│ │
▼ ▼
┌──────────────────────────────────────────────────────────────┐
│ tokensave MCP Server │
│ ┌─────────────┐ ┌─────────────┐ ┌─────────────┐ │
│ │ Search │ │ Callers │ │ Context │ │
│ │ "auth" │ │ "login()" │ │ for task │ │
│ └──────┬──────┘ └──────┬──────┘ └──────┬──────┘ │
│ └────────────────┼────────────────┘ │
│ ▼ │
│ ┌───────────────────────┐ │
│ │ libSQL Graph DB │ │
│ │ • Instant lookups │ │
│ │ • FTS5 search │ │
│ └───────────────────────┘ │
└──────────────────────────────────────────────────────────────┘
Without tokensave: Agents use grep, glob, and Read to scan files -- many API calls, high token usage.
With tokensave: Agents query the graph via MCP tools -- instant results, local processing, fewer tokens.
| Smart Context Building | Semantic Search | Impact Analysis |
| One tool call returns everything the agent needs -- entry points, related symbols, and code snippets. | Find code by meaning, not just text. Search for "authentication" and find login, validateToken, AuthService. | Know exactly what breaks before you change it. Trace callers, callees, and the full impact radius of any symbol. |
| 37 MCP Tools | 31 Languages | 9 Agent Integrations |
| From call graph traversal to dead code detection, test mappin |
No automated test available for this server. Check the GitHub README for setup instructions.
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Persistent memory using a knowledge graph
Privacy-first. MCP is the protocol for tool access. We're the virtualization layer for context.
Pre-build reality check. Scans GitHub, HN, npm, PyPI, Product Hunt — returns 0-100 signal.
Hash-verified file editing MCP server with token efficiency hook. 11 tools for AI coding agents.
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