Memtrace MCP Server

@syncable-dev

代码仓库

基本信息

分类

其他

传输方式

stdio

作者

syncable-dev

提交者

Lishuai Jing

关于 Memtrace MCP Server

Memtrace — Structural Memory for AI Coding Agents

#memory #code-intelligence #knowledge-graph #ast#structural-analysis#codebase-context#agent-memory#blast-radius#temporal-memory#bi-temporal #hybrid-search #graph-rag#developer-tools-ai-agents

Memtrace MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "memtrace": {
      "command": "memtrace",
      "args": [
        "mcp"
      ],
      "env": {
        "MEMTRACE_ARCADEDB_BOLT_URL": "bolt://localhost:7687"
      }
    }
  }
}

Memtrace MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is Memtrace?

Memtrace is a structural memory layer for AI coding agents, delivered as an MCP server. It compiles any codebase into a live, bi-temporal knowledge graph from the AST, enabling agents like Claude Code, Cursor, Windsurf, and Zed to instantly query callers, callees, blast radius, dependency chains, and code evolution without re-reading source files on every turn.

How to use Memtrace?

Install Memtrace with a single command (npm install -g memtrace), start the graph server (memtrace start), and index your repository (memtrace index .). The MCP server starts automatically and connects to any MCP-compatible agent. No configuration, cloud account, or telemetry required.

Key features of Memtrace

Structural knowledge graph compiled from the AST across 12 languages and 3 IaC formats.
Bi-temporal episodic memory enables time-travel through code history beyond git commits.
Blast radius analysis computes exactly which files, functions, and services break before any change.
Hybrid retrieval engine fused BM25, HNSW vector search, and graph traversal.
Six traversal strategies: Impact, Novel, Recent, Compound, Directional, and Overview.
API topology mapping for cross-service dependency chains and dead endpoint detection.
40+ MCP tools covering indexing, search, relationships, impact analysis, and graph algorithms.
Local-first, closed-source Rust—code never leaves the machine, no account, no telemetry.

Use cases of Memtrace

Giving AI coding agents persistent structural memory to reduce token waste by up to 90%.
Computing blast radius before a refactor—knowing exactly which callers, services, and tests break.
Detecting structural drift and regressions mid-session, catching breaking changes the moment they happen.
Onboarding agents to large, unfamiliar codebases instantly with full symbol graph and dependency tree queryable from the first turn.
Time-travelling through code evolution to understand how a function, type, or module changed over time.

常见问题

What agents and IDEs does Memtrace work with?

Memtrace works with any MCP-compatible agent or IDE, including Claude Code, Cursor, Zed, VS Code, Windsurf, Continue, Aider, and OpenAI Codex CLI.

Does Memtrace send my code to the cloud?

No. Memtrace is fully local-first. Your code never leaves your machine. There is no account, no telemetry, and no cloud dependency.

How long does indexing take?

Initial indexing typically completes in seconds for most repositories. Each file save triggers an incremental re-index that completes in 200–800ms.

Which programming languages are supported?

Memtrace supports 12 programming languages and 3 IaC formats via Tree-sitter grammars: TypeScript, JavaScript, Python, Rust, Go, Java, C, C++, Ruby, PHP, C#, Swift, plus Terraform, Kubernetes, and Docker.

How is Memtrace different from RAG-based code search tools?

RAG tools return lexically or semantically similar snippets. Memtrace returns structurally meaningful answers—the actual callers, real blast radius, and deterministic dependency chains—because it reasons over a compiled knowledge graph, not over embeddings.

Does Memtrace replace existing tools like LSP or GitHub Copilot?

No. Memtrace is additive. It gives agents a structural memory layer that LSP servers and embedding-based tools don't provide. Existing tools keep working; agents gain access to 40+ additional MCP tools for graph-based reasoning.

其他分类下的更多 MCP 服务器

Soar Flight Booking MCP

Soar Flight Booking MCP is a remote MCP server available at https://mcp.soar.flights.

MaxKB

1Panel-dev

🔥 MaxKB is an open-source platform for building enterprise-grade agents. 强大易用的开源企业级智能体平台。

22.0K

Activepieces

activepieces

AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents

23.2K