synapse-code-mcp
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.
Documentation
Synapse MCP
> 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.
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.
| Problem | Synapse 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 window | Configurable `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.
# 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:
{
"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.
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 linesParameters: `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.
| Feature | TypeScript / JS | Python · Go · Rust | Other |
|---|---|---|---|
| `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):
npm install -g synapse-code-mcpRun without installing:
npx synapse-code-mcp --root /path/to/your/projectSetup
Claude Desktop
Add to `~/Library/Application Support/Claude/claude_desktop_config.json` (macOS) or `%APPDATA%\Claude\claude_desktop_config.json` (Windows):
{
"mcpServers": {
"synapse": {
"command": "npx",
"args": ["synapse-code-mcp", "--root", "/absolute/path/to/your/project"]
}
}
}Claude Code (CLI)
claude mcp add synapse -- npx synapse-code-mcp --root /path/to/your/projectOr add directly to `~/.claude/settings.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:
{
"mcpServers": {
"synapse": {
"command": "npx",
"args": ["synapse-code-mcp", "--root", "/path/to/your/project"]
}
}
}Windsurf
Add to `~/.codeium/windsurf/mcp_config.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
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:
{
"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):
| Repository | Files indexed | Time | Heap growth |
|---|---|---|---|
| zod | 55 | 120 ms | 3 MB |
| TypeScript compiler `src/` | 247 | 257 ms | 24 MB |
The automated benchmark suite enforces upper bounds on a synthetic fixture (3 000 minimal `.ts` files) to catch regressions under worst-case conditions:
| Operation | CI budget (synthetic fixture) |
|---|---|
| `get_project_tree` — 3 000 files | 5 s |
| `get_semantic_context` — depth 3 | 10 s |
| `get_changed_files` | 2 s |
| `get_project_index` — 60 files | 30 s |
| `get_project_index` — 600 files | 120 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:
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 fileCode review before a PR:
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 fileDebug a feature:
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 dependenciesRequirements
- 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
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
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
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
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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