
TokenSave
Give your agent semantic code-graph queries across 15+ languages so it spends fewer tokens than rereading whole files.
Overview
TokenSave is a MCP server for the Build phase that provides semantic graph code intelligence across 15+ languages via 37 MCP tools instead of bulk file reads.
What is this MCP server?
- 37 MCP tools for code intelligence over a semantic graph
- Supports 15+ programming languages (per server description)
- Graph-oriented queries replace repetitive full-file context dumps
- Shipped as versioned mcpb binaries for macOS and Linux (v4.0.2) with serve positional arg
- 37 MCP tools documented in server description
- 15+ programming languages supported (per description)
- Current package version 4.0.2 (mcpb releases with SHA256 hashes)
Community signal: 179 GitHub stars.
What problem does it solve?
Your agent burns tokens and time re-reading files because it lacks a structured map of how your multi-language codebase connects.
Who is it for?
Indie devs on polyglot repos who run long agent sessions and want graph-level navigation without paying for full-file dumps each step.
Skip if: Beginners who only need occasional single-file edits, or teams that require a managed cloud code search product with zero local binary install.
What do I get? / Deliverables
Agents query the code graph through MCP so investigations use smaller, sharper context and you ship features with less wasted model spend.
- Graph-backed answers to code structure questions via 37 MCP tools
- Lower-token agent workflows when exploring 15+ language codebases
Recommended MCP Servers
Journey fit
Agent-tooling during build is where token budget and codebase navigation quality directly affect how fast a solo dev can ship with LLM assistants. TokenSave is explicitly built for MCP agents that need code intelligence instead of naive file reads—classic agent-tooling placement.
How it compares
Local semantic graph MCP with 37 tools, not a Git hosting browser skill or generic ripgrep wrapper.
Common Questions / FAQ
Who is TokenSave for?
Solo builders and agent-heavy developers maintaining larger or multi-language codebases who need cheaper, smarter code exploration inside MCP clients.
When should I use TokenSave?
Use it during build and deep debugging when agents would otherwise repeatedly load entire files to find callers, types, or cross-module relationships.
How do I add TokenSave to my agent?
Download the matching tokensave v4.0.2 mcpb tarball for your OS from the project releases, configure stdio transport with the serve positional argument, and register the server in your MCP client.