Synapse MCP

$19/moStarting price
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About Synapse MCP

Synapse MCP is a compiled, zero-dependency binary that builds a local Abstract Syntax Tree (AST) graph of a codebase to provide AI agents with precise structural context. It indexes 50 programming languages without plugins or configuration, returning compressed structural signatures instead of raw files to reduce token usage and prevent context exhaustion. The tool supports three search modes—plain English queries, symbol lookups, and regex patterns—and provides codebase insights such as language breakdowns, API surfaces, and refactor opportunities. Synapse operates entirely locally with end-to-end encryption, avoiding cloud dependencies and IP exposure risks. It also offers simulated safe writes that verify edits in memory before applying them, preventing downstream breakage. The system is compatible with major IDEs and AI coding agents via the Model Context Protocol (MCP), including Cursor, Claude Code, Windsurf, and VS Code.

Key features

  • Zero-config indexing for 50 languages
  • AST-aware minification to reduce token usage
  • Three search modes: plain English, symbol lookup, regex pattern
  • Codebase insights including language breakdowns and API surfaces
  • Simulated safe writes with automatic rollback on failure
  • Impact and caller analysis for refactoring decisions
  • Persistent agent memory across sessions
  • Stack trace mapping for crash resolution

Use cases

  • Autonomous security audits of large codebases
  • Accurate refactoring with zero-hallucination guarantees
  • Precise test target identification without test suite execution

Pros

  • Local AST graph indexing for 50 languages without configuration
  • Sub-millisecond query responses with compressed structural signatures
  • End-to-end encrypted and 100% local operation
  • Simulated safe writes to prevent breaking changes
  • Supports plain English, symbol, and regex search modes

Cons

  • Currently in preview with no public pricing details beyond a $19/month Pro tier
  • Requires Model Context Protocol (MCP) compatibility in the client
  • No free tier or open-source alternative mentioned

Frequently asked questions about Synapse MCP

What is Synapse MCP and what does it do?

Synapse MCP is a compiled, zero-dependency binary that builds a local Abstract Syntax Tree (AST) graph of a codebase to provide AI agents with precise structural context. It indexes over 50 programming languages without plugins or configuration, returning compressed structural signatures to reduce token usage and prevent context exhaustion.

Who is Synapse MCP designed for?

Synapse MCP is designed for developers and teams using AI coding agents such as Cursor, Claude Code, Windsurf, VS Code, and JetBrains AI. It is particularly useful for those working with large codebases who need accurate, low-latency context for AI-driven tasks like refactoring, auditing, or understanding code structure.

How does Synapse MCP integrate with AI coding agents?

Synapse MCP integrates with AI coding agents via the open Model Context Protocol (MCP), allowing agents to query the AST graph for structural context, perform symbol lookups, or execute regex searches. It operates as a fully compliant MCP server that can be plugged into compatible clients in under 60 seconds.

Does Synapse MCP require cloud dependencies or expose IP risks?

No, Synapse MCP operates entirely locally with end-to-end encryption, avoiding cloud dependencies and IP exposure risks. It builds and maintains the AST graph on the user's machine, ensuring codebase data remains private and secure.

What are the pricing models for Synapse MCP?

Synapse MCP offers a free tier called the "Golden Graph" with basic features such as instant local indexing and AST-aware minification. A paid tier called the "Shadow Graph" provides additional capabilities like simulated safe writes, impact analysis, and persistent agent memory.

How do I get started with Synapse MCP?

To get started, download the Synapse MCP binary and add a few lines of configuration to your IDE or agent settings, such as cursor_settings.json for Cursor. Once configured, Synapse will index your codebase and provide structural context to compatible AI agents.

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