Synapse MCP from Myelix Labs
Your AI Agent Is Wasting Tokens Grepping for Answers It Should Already Know
Ads
Overview
Compatible with all major IDEs and agents via the open Model Context Protocol (MCP). CursorClaude CodeWindsurfGitHub CopilotDevinAiderClineVS CodeJetBrains AICursorClaude CodeWindsurfGitHub CopilotDevinAiderClineVS CodeJetBrains AI Synapse indexes, chunks, and extracts dependency edges for every mainstream programming language out of the box — no plugins, no configuration, no cloud. Functional Systems / Low-level OO / General-purpose Educational / Scripting / IoT Data / Markup Elixir Erlang Haskell F OCaml Clojure Scala Python JavaScript TypeScript Go Ruby Rust Java C / C++ C Kotlin Swift PHP Dart Perl R Zig Objective-C Groovy Julia SQL HTML CSS JSON Markdown YAML XML TOML HCL Dockerfile Protocol Buffers GraphQL Solidity PowerShell Pascal Lisp VBA Smalltalk Prolog Lua Assembly Shell Tcl Arduino
Installation
Installation instructions are not available yet.
Configuration
Configuration example is not available yet.
Capabilities
- AST-aware context retrieval
Ask your AI to explain a code chunk or onboard you to a module using `find` and `explain`, returning compressed structural signatures instead of full files.
- Multi-mode code search
Search your codebase by plain-English semantic query, exact symbol lookup, or regex pattern to locate relevant functions and definitions instantly.
- Caller/callee impact mapping
Ask what breaks if you change a function or struct; Synapse maps every inbound caller and downstream dependency in under 500ms.
- Simulated safe writes
Have your agent dry-run an edit with `write_safely`; Synapse validates it against the AST in memory and rejects changes that break callers.
- Stack trace root-cause analysis
Paste a runtime crash and let `resolve_stack` map the frames to indexed AST chunks to pinpoint the failing execution path.
- Test coverage gap detection
Use `find_tests` to identify exact unprotected branches and generate targeted behavioral tests that cover real structural gaps.
Tags
- development
- ai-agent
- knowledge-retrieval
- productivity
Related MCP servers
Context7 MCP
OfficialOfficial Context7 MCP server that brings up-to-date, version-specific library documentation and code examples into AI coding prompts.
Chrome DevTools MCP
OfficialOfficial Chrome DevTools MCP server for controlling and inspecting a live Chrome browser from coding agents such as Gemini, Claude, Cursor, and Copilot.
Mastra/mcp
OfficialClient implementation for Mastra, providing seamless integration with MCP-compatible AI models and tools.
GitHub MCP Server
OfficialConnect your AI assistant to GitHub repositories, issues, pull requests, and search.