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synapse-code-mcp

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Model Context Protocol server for code intelligence. Lets AI assistants explore your codebase on demand — semantic context with dependency graphs, compressed symbol indexes for TypeScript/JavaScript, plus git diffs and ripgrep-powered search across any language.

3 stars TypeScriptOthers Updated Aug 31, 2026

Documentation

Synapse MCP

CI
License: MIT
Node ≥ 18
Tests: 301

> A structural code context server that connects your local repository to AI assistants via the Model Context Protocol.

Instead of copy-pasting files into a prompt, Synapse lets your AI assistant dynamically explore your codebase — pulling only the code it needs, when it needs it. The result: less context waste, smarter answers, and a workflow that scales to large projects — with no vector database or embedding API to set up.

code
AI Assistant  ──MCP──►  Synapse MCP  ──fs/git──►  Your Repository
   (pulls)               (server)                   (local)

> Status: Early-stage, actively developed. Contributions and bug reports are welcome — see Contributing.


Why Synapse?

Most AI coding tools already index files. Synapse solves a different problem: context quality at scale.

ProblemSynapse solution
Reading an entire file when you only need its API surface`get_semantic_context` with `outline_only` — signatures only, ≤ 50% of full content
AI doesn't know what files exist in an unfamiliar project`get_project_index` — full symbol map at ≤ 40% of raw source size, one call
"Review my changes" requires pasting the diff manually`get_changed_files` — structured git diff, git-aware by default
Dependency rabbit holes filling the context windowConfigurable `depth` cap on import traversal

The compression ratios above are enforced as automated test budgets — not marketing estimates.

Why not vector embeddings?

Most code-context MCP servers use semantic search backed by a vector database (e.g. Milvus, Qdrant) and an embedding API (OpenAI, VoyageAI). That gives them a real capability Synapse doesn't have: finding code by conceptual meaning ("find the authentication logic") rather than by structure or text.

Synapse trades that capability for a different set of properties:

  • Zero external dependencies — no API keys, no vector database, no embedding provider to configure
  • Zero recurring cost — no per-token embedding charges, no hosted database bill
  • Fully local and deterministic — the same input always produces the same output, nothing leaves your machine, nothing to index ahead of time
  • Instant on any repo — no indexing step before first use (see Performance: 120–257 ms on real repos)

If you need natural-language semantic search across millions of lines in many languages, a vector-backed server is the better tool. If you want structural context (signatures, dependency graphs, diffs) without standing up infrastructure, Synapse is built for that.


Tools

`get_project_index`

Returns a compressed semantic map of the entire project: all exported functions, classes, interfaces, types, enums, and top-level constants with their signatures — no bodies. The right first call when exploring an unfamiliar codebase.

code
# Project Index: my-app (47 files, 312 symbols)

## src/services/user-service.ts
  UserService (class) [export]
    constructor(db: Database)
    findById(id: string): Promise
    create(data: CreateUserDto): Promise

## src/models/user.ts
  User (interface) [export]
    id: string
    email: string
    createdAt: Date
  createUser(data: Partial): User [export]

Parameters: `file_pattern` (glob to narrow scope), `include_non_exported`, `output_format` (`"markdown"` default · `"json"` for structured output)

Use `output_format: "json"` to get the raw symbol data as a structured object, which is easier to post-process programmatically:

json
{
  "root": "/path/to/project",
  "totalFiles": 47,
  "totalSymbols": 312,
  "files": [
    {
      "relativePath": "src/services/user-service.ts",
      "language": "typescript",
      "symbols": [...]
    }
  ]
}

> Large projects: output grows linearly with the number of exported symbols. For monorepos or projects with 500+ files, use `file_pattern` to scope the index to one area at a time — e.g. `"src/services/**/*.ts"`.


`get_semantic_context`

Returns a file's content alongside its local dependency graph — everything the AI needs to understand the code in context.

Add `outline_only: true` to get signatures without implementation bodies. Output is enforced by the benchmark suite to be ≤ 50% of full content length, while preserving full structural understanding.

Parameters: `file_path` (required), `depth` (import hops, default: 2), `outline_only`, `output_format` (`"markdown"` default · `"json"` for structured output)


`get_changed_files`

Lists files changed since a git ref, grouped by status (Added / Modified / Deleted / Renamed), with optional line counts and full unified diff.

code
Changed files since `main` (8 files):

**Added (2):**
  src/services/payment.ts (+120 −0)
  tests/unit/payment.test.ts (+89 −0)

**Modified (5):**
  src/models/order.ts (+14 −3)
  ...

**Summary:** +245 −18 lines

Parameters: `base_ref` (default: `HEAD~1`), `include_diff`, `file_pattern`


`get_project_tree`

Structured view of the repository, respecting `.gitignore` rules.

Parameters: `path`, `max_depth`, `show_hidden`


`search_codebase`

Fast text or regex search across the project, returning matches with file paths and line numbers. Uses ripgrep when available, falls back to a pure Node.js scanner.

Parameters: `query` (required), `file_pattern`, `is_regex`, `max_results`


Language support

Synapse uses ts-morph (TypeScript compiler API) for deep analysis of TypeScript and JavaScript. For other languages, it applies regex-based extraction of function and class names.

FeatureTypeScript / JSPython · Go · RustOther
`get_project_tree`
`search_codebase`
`get_semantic_context` — full source
`get_semantic_context` — dependency graph
`get_semantic_context outline_only`✓ full signatures✓ names only
`get_project_index`✓ full signatures✓ names only

Dependency graph traversal (following `import`/`require` chains) is TypeScript/JavaScript only. For all other languages, Synapse still reads and searches files normally — it just won't walk the import graph.

> Note: dependency graph traversal follows both *relative* imports (`./foo`, `../bar`) and *path aliases* configured via `tsconfig.json` `compilerOptions.paths` (e.g. `@/components/Foo`), as long as a `tsconfig.json` is present at the project root. Projects without a `tsconfig.json` fall back to relative-only resolution.


Installation

Global install (recommended):

bash
npm install -g synapse-code-mcp

Run without installing:

bash
npx synapse-code-mcp --root /path/to/your/project

Setup

Claude Desktop

Add to `~/Library/Application Support/Claude/claude_desktop_config.json` (macOS) or `%APPDATA%\Claude\claude_desktop_config.json` (Windows):

json
{
  "mcpServers": {
    "synapse": {
      "command": "npx",
      "args": ["synapse-code-mcp", "--root", "/absolute/path/to/your/project"]
    }
  }
}

Claude Code (CLI)

bash
claude mcp add synapse -- npx synapse-code-mcp --root /path/to/your/project

Or add directly to `~/.claude/settings.json`:

json
{
  "mcpServers": {
    "synapse": {
      "command": "npx",
      "args": ["synapse-code-mcp", "--root", "/path/to/your/project"]
    }
  }
}

Cursor

Add to `.cursor/mcp.json` in your home directory or project root:

json
{
  "mcpServers": {
    "synapse": {
      "command": "npx",
      "args": ["synapse-code-mcp", "--root", "/path/to/your/project"]
    }
  }
}

Windsurf

Add to `~/.codeium/windsurf/mcp_config.json`:

json
{
  "mcpServers": {
    "synapse": {
      "command": "npx",
      "args": ["synapse-code-mcp", "--root", "/path/to/your/project"]
    }
  }
}

> Tip: Replace `/path/to/your/project` with the absolute path to the repository you want to serve. You can run multiple Synapse instances — one per project — each with a different key under `mcpServers`.


Configuration

CLI flags

code
Options:
  --root                   Project root directory (default: cwd)
  --max-file-size         Skip files larger than this (default: 524288 = 512 KB)
  --max-search-results        Cap on search results returned (default: 50)
  --max-tree-depth            Maximum directory depth for tree view (default: 5)
  --max-dependency-depth      Import hops for semantic context (default: 2)
  --log-level             debug | info | warn | error (default: info)

Per-project config file

Drop a `synapse.config.json` at your project root to override defaults for that project:

json
{
  "maxFileSize": 1048576,
  "maxDependencyDepth": 3,
  "extraIgnorePatterns": ["*.generated.ts", "**/__mocks__/**"],
  "cacheEnabled": true
}

`cacheEnabled` (default `true`) controls the on-disk incremental index cache (`.synapse-cache/index.json`) used by `get_project_index` and `get_semantic_context` to skip re-parsing unchanged files. Set to `false` to disable it.

All fields are optional. CLI flags take precedence over `synapse.config.json`.

Performance

Measured on real open-source TypeScript repositories (single run, `--depth 1` clone, no warm cache):

RepositoryFiles indexedTimeHeap growth
zod55120 ms3 MB
TypeScript compiler `src/`247257 ms24 MB

The automated benchmark suite enforces upper bounds on a synthetic fixture (3 000 minimal `.ts` files) to catch regressions under worst-case conditions:

OperationCI budget (synthetic fixture)
`get_project_tree` — 3 000 files5 s
`get_semantic_context` — depth 310 s
`get_changed_files`2 s
`get_project_index` — 60 files30 s
`get_project_index` — 600 files120 s

The CI budgets are deliberately generous safety margins, not performance estimates — they exist to catch catastrophic regressions (e.g. an accidental O(n²) bug), not to predict real-world timing. The real-repo numbers above are the meaningful reference for expected performance. For large monorepos (1 000+ files), use `file_pattern` to scope the index to one area at a time.


Security

Synapse is a read-only server. It never writes to the filesystem or modifies the git repository.

  • Path traversal protection — every file read goes through `resolveAndValidate(root, path)`, which throws a `PATH_ESCAPE` error if the resolved path escapes the project root. The AI client receives the error code, never the file contents.
  • Root scoping — only the directory tree under `--root` is accessible. Paths pointing outside (e.g. `../../etc/passwd`) are rejected at the validation layer.
  • File size cap — files larger than `maxFileSize` (default 512 KB) are rejected before reading.
  • Binary detection — compiled artifacts and binary files are detected and skipped automatically.
  • No outbound network calls — Synapse communicates only over the local stdio pipe to the MCP client. It makes no HTTP requests.

Suggested workflows

Explore a new codebase:

code
1. get_project_index()
   → Understand the full shape of the project in one call

2. get_semantic_context("src/core/engine.ts", outline_only: true)
   → Inspect a module's API surface without reading implementation

3. get_semantic_context("src/core/engine.ts")
   → Read full source + dependency graph for the relevant file

Code review before a PR:

code
1. get_changed_files(base_ref: "main")
   → See what changed, grouped and summarised

2. get_changed_files(base_ref: "main", include_diff: true)
   → Full unified diff in context

3. get_semantic_context("src/changed-file.ts")
   → Understand the context around a changed file

Debug a feature:

code
1. search_codebase("handlePayment")
   → Find where the symbol is defined and used

2. get_semantic_context("src/services/payment.ts", depth: 3)
   → Pull the file + all its local dependencies

Requirements

  • Node.js ≥ 18
  • Git — required only for `get_changed_files`
  • **ripgrep** *(optional)* — significantly faster search; Synapse falls back to a pure Node.js scanner if `rg` is not on `$PATH`

Development

bash
git clone https://github.com/Juanmidev1/synapse-code-mcp.git
cd synapse-code-mcp
npm install

npm run dev          # watch mode (tsx, no compile step)
npm test             # run all tests (Vitest)
npm run typecheck    # type-check without emitting
npm run lint         # ESLint
npm run build        # compile to dist/

Test with MCP Inspector

bash
npm run build
npx @modelcontextprotocol/inspector dist/index.js --root .

This opens a browser UI where you can invoke all tools interactively and inspect their input/output.

Project structure

code
src/
  index.ts              CLI entry point, argument parsing
  server.ts             MCP server, tool registration
  tools/                Thin tool handlers (validation + formatting only)
  core/
    fs/                 File tree building, file reading, ignore resolution
    search/             ripgrep adapter + pure-Node fallback
    analysis/           Dependency graph (ts-morph), outline extractor, project indexer, index cache
    git/                Git adapter (diff, changed files)
  config/               Config loading and Zod validation
  types/                Shared TypeScript interfaces
  utils/                Logger (pino), path helpers, typed errors
tests/
  unit/                 Per-module unit tests
  integration/          Tool handler integration tests
  protocol/             End-to-end MCP protocol tests (InMemoryTransport)
  performance/          Benchmark suite with time and heap budgets
  build/                Tests against the compiled dist/ output (catches source-vs-build divergence)

Roadmap

See ROADMAP.md for what is planned and what ideas are open for community contributions.


Contributing

This project is in active early development. Bug reports, feature requests, and pull requests are all welcome — the codebase is intentionally small and straightforward to navigate.

  • CONTRIBUTING.md — how to set up the environment, run tests, commit conventions, and architectural rules
  • CODE_OF_CONDUCT.md — community standards (Contributor Covenant 2.1)
  • ROADMAP.md — what is planned and what is open for community PRs

New to the project? Browse issues tagged `good first issue` for the best entry points.


License

MIT

Frequently asked questions

What is synapse-code-mcp?

synapse-code-mcp is Model Context Protocol server for code intelligence. Lets AI assistants explore your codebase on demand — semantic context with dependency graphs, compressed symbol indexes for TypeScript/JavaScript, plus git diffs and ripgrep-powered search across any language.

How do I install synapse-code-mcp?

Open the GitHub repository and follow its README. Most MCP servers are added to your client's MCP config, then called by your agent.

Is synapse-code-mcp open source?

Yes — it is hosted on GitHub at https://github.com/Juanmidev1/synapse-code-mcp and has 3 stars.

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