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codebase-synapse

by iwielsversion 0.1.13i★ –iRuns on your computer
Registry nameio.github.iwiels/codebase-synapse

Install

Overview

Description from the maker (original English)

Indexes codebase into a local knowledge graph with 40+ AI tools and codebase-guard.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Developer tools

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • The registry lists no key to fill in.

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "codebase-synapse": {
      "command": "npx",
      "args": [
        "-y",
        "codebase-synapse"
      ]
    }
  }
}

Run this in your terminal

claude mcp add codebase-synapse -- npx -y codebase-synapse

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "codebase-synapse": {
      "command": "npx",
      "args": [
        "-y",
        "codebase-synapse"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "codebase-synapse": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "codebase-synapse"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account iwiels, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Developer toolsi

  • More stars than 0% of the other 1394 servers in this category
  • Published to the registry more recently than 36% of the other 1394 servers in this category
  • Basic checks equal to or better than 100% of the other 1394 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is codebase-synapse safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.1.13) reached the registry 3 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: GitHub, Desktop Commander, Cloudflare MCP

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

GitHub

by github

GitHub’s official server lets AI read and manage code, issues and pull requests in your account. Use GitHub’s hosted version or run it locally with Docker.

Computer or cloud★ 34,245MITUpdated 3 days ago
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Desktop Commander

by wonderwhy-er

MCP server for terminal commands, file operations, and process management

Runs on your computer★ 10,225MITUpdated 16 days ago
Install

Cloudflare MCP

by cloudflare

Cloudflare MCP servers

Runs in the cloud★ 4,446Apache-2.0Updated 14 months ago
Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

🧠 Codebase Synapse

Give your AI agent a deep understanding of your entire codebase.

An MCP server that indexes your codebase into a local knowledge graph with 52 AI tools — semantic search, call-graph traversal, git archaeology, blast-radius analysis, and more.

Works with Claude Code · Cursor · Windsurf · Zed · Any MCP client


The Problem

AI coding agents (Claude, Cursor, etc.) are powerful — but they work with limited context. They can only see the files you open or feed them. Ask about call chains, architectural patterns, or blast-radius impact, and they guess.

Codebase Synapse fixes this. It indexes your entire repo into a local knowledge graph stored in SQLite, giving your AI agent real answers backed by structural analysis — not hallucinations.

How it works
graph LR

A["📁 Your Codebase"] -->|Tree-sitter| B["🧩 Parser"] B -->|Symbols & Edges| C["🕸️ Knowledge Graph"] C -->|SQLite| D["💾 Local DB"] D -->|52 MCP Tools| E["🤖 AI Agent"]

style A fill:#1a1b26,stroke:#7aa2f7,color:#c0caf5 style B fill:#1a1b26,stroke:#bb9af7,color:#c0caf5 style C fill:#1a1b26,stroke:#9ece6a,color:#c0caf5 style D fill:#1a1b26,stroke:#e0af68,color:#c0caf5 style E fill:#1a1b26,stroke:#f7768e,color:#c0caf5

⚡ Quick Start

1. Index your project (CLI, Zoekt-style)
codebase-synapse index /path/to/your/repo

Indexing runs as a separate CLI command and writes into ~/.codebase-synapse/codebase.db. The first index is the slow one; re-running it only re-indexes changed files. The MCP server never indexes — it only reads the pre-built index.

2. Start the MCP server
npx codebase-synapse

That's it. No Docker. No database setup. No cloud. The server starts via stdio and serves the pre-built index to your MCP client.

Configure your client

Claude Code / Claude Desktop

Add to your claude_desktop_config.json or mcp_servers.json:

{

"mcpServers": { "codebase-synapse": { "command": "npx", "args": ["-y", "codebase-synapse"] } } }

Cursor

Add to your .cursor/mcp.json:

{

"mcpServers": { "codebase-synapse": { "command": "npx", "args": ["-y", "codebase-synapse"] } } }

Other MCP clients

Any MCP client that supports stdio transport works. Just point it at:

npx -y codebase-synapse

✨ What It Does

🔍 Search & Discovery
ToolDescription
semantic_searchVector similarity search using local embeddings (all-MiniLM-L6-v2)
search_codeFull-text search across code (FTS5 + BM25 ranking)
search_symbolFind functions, classes, types by name or pattern
hybrid_searchCombined semantic + lexical search with RRF fusion
find_similarFind structurally similar code using MinHash + LSH
find_symbol_everywhereLocate a symbol across all indexed projects
🕸️ Knowledge Graph
ToolDescription
get_callers / get_calleesNavigate the call graph in either direction
get_imports / get_dependentsTrace dependency chains
impact_analysisCompute blast radius before editing a file
find_pathFind the shortest connection between two symbols
find_dead_codeDetect unreachable functions and unused exports
get_pagerankIdentify the most critical nodes in your architecture
query_graphRun Cypher-like queries against the knowledge graph
🏗️ Architecture
ToolDescription
get_architectureFull project architecture overview (languages, entry points, hotspots)
get_file_structureDirectory tree with symbol annotations
project_overviewHigh-level summary with key metrics
get_route_mapExtract HTTP routes and their handler mappings
suggest_boundariesDetect module boundaries via Leiden clustering
check_boundariesValidate cross-module dependencies against defined boundaries
get_clustersCommunity detection across the codebase
🔬 Git Archaeology
ToolDescription
git_archaeologyDeep history analysis of a file (authors, churn, evolution)
get_hotspotsFiles with highest complexity × change frequency
detect_change_couplingFiles that always change together
get_recent_semantic_changesSemantically meaningful recent changes
index_git_historyBuild temporal analysis from git log
🧠 Memory & Context
ToolDescription
memory_store / memory_search / memory_listPersistent notes, facts, and decisions across sessions
session_remember / session_recallShort-term memory within a session
get_contextBudgeted context preparation for AI agents
get_edit_contextFocused context for a specific file edit
get_working_setRecently accessed and modified files
manage_adrArchitecture Decision Records management
🛡️ Codebase Guard

Included as a bonus: `codebase-guard` is a PreToolUse hook for Claude Code that blocks writes to high-impact files until the agent runs impact_analysis first.

It uses PageRank scores and blast-radius data from the knowledge graph to identify architectural hubs. No more accidental edits to core files.

🔧 Technical Details

LanguageRust (compiled native binary)
TransportMCP stdio (JSON-RPC)
StorageSQLite (WAL mode, zero config)
Embeddingsall-MiniLM-L6-v2 via Candle (offline, local, lazy-loaded)
ParsingTree-sitter (10 languages)
Distributionnpm with prebuilt binaries (Windows, macOS, Linux × x64, arm64)
Supported Languages

Rust · Python · TypeScript · JavaScript · Go · Java · C# · PHP · C · C++

Architecture
src/

├── parser/ # Tree-sitter parsing & entity extraction ├── graph/ # Knowledge graph, PageRank, Leiden clustering ├── indexer/ # Repository indexing pipeline ├── search/ # BM25 full-text + vector cosine + hybrid RRF ├── embedding/ # Candle-based local embeddings (feature-gated) ├── memory/ # Persistent & session memory stores ├── mcp/ # MCP protocol transport + 52 tool handlers ├── git/ # Git archaeology, intent classification, hotspots ├── context/ # Budgeted context preparation for AI ├── cypher/ # Nom-based Cypher parser → SQL CTE planner ├── similarity/ # MinHash + LSH structural similarity ├── semantic/ # Multi-signal scoring (tokens, directory, AST) └── cli/ # Interactive TUI installer + artifact export/import

🤝 Contributing

Contributions are welcome! The project uses standard Rust tooling:

# Run tests

cargo test

Lint

cargo clippy -- -D warnings

Format

cargo fmt --all

📄 License

Apache-2.0

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