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Code intelligence MCP server — indexes codebases into a queryable graph of symbols, call chains, and relationships

Project description

Synapps

Code intelligence MCP server — gives AI coding agents a queryable graph of your codebase.

What it does

  • Indexes C#, Python, TypeScript/JavaScript, and Java codebases using tree-sitter and Language Server Protocol
  • Stores symbols, call chains, and relationships in a Memgraph graph database
  • Exposes semantic query tools as MCP tools — AI agents can find callers, trace call chains, and analyze change impact without reading every file
  • Supports incremental sync via git-diff-based change detection and live file watching

Install

pip install synapps-mcp
docker compose up -d

The docker compose up -d command starts a local Memgraph instance (required for the graph database).

Configure your MCP client

Add Synapps to your MCP client configuration (e.g., Claude Code ~/.claude.json):

{
  "mcpServers": {
    "synapps": {
      "command": "synapps-mcp"
    }
  }
}

Then index your project:

synapps index /path/to/your/project

Supported Languages

  • C#
  • Python
  • TypeScript / JavaScript
  • Java

Key MCP Tools

  • get_context_for — full context for a symbol before editing (callers, callees, tests)
  • find_callers — who calls a given method across the codebase
  • find_callees — what a method depends on downstream
  • analyze_change_impact — verify no unexpected breakage before committing
  • trace_call_chain — find call paths between two methods
  • search_symbols — find symbols by name, kind, file, or namespace

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