About
SGraph MCP Server
README
An MCP server that gives AI agents instant access to software architecture, dependencies, and impact analysis through pre-computed sgraph models. One tool call replaces dozens of grep/read cycles.
Why?
AI agents discover code structure by reading files one at a time. For a question like "what calls this function?", that means grep, read, grep again, read again... Dozens of round-trips, thousands of tokens, and results that still miss indirect callers.
SGraph pre-computes the full dependency graph. The same question takes one call and returns every caller with type information.
| Traditional (grep/read) | SGraph MCP | |
|---|---|---|
| "What calls this function?" | Multiple grep + read cycles | sgraph_get_element_dependencies |
| "What breaks if I change this?" | Manual trace, easy to miss | sgraph_analyze_change_impact |
| "Show module structure" | ls + read + scroll | sgraph_get_element_structure |
| Time per query | Seconds (many round-trips) | Milliseconds (cached) |
| Accuracy | Text matching (noisy) | Semantic graph (precise) |
Quick Start
1. Install
git clone https://github.com/softagram/sgraph-mcp-server.git
cd sgraph-mcp-server
uv sync
2. Start the server
# With Claude Code profile (recommended)
uv run python -m src.server --profile claude-code
# With auto-loaded model (skip the load_model step)
uv run python -m src.server --profile claude-code \
--auto-load /path/to/model.xml.zip \
--default-scope /Project/src
3. Connect your AI agent
Claude Code / Cursor (.mcp.json)
Create .mcp.json in your project root:
{
"mcpServers": {
"sgraph": {
"command": "uv",
"args": [
"run", "--directory", "/path/to/sgraph-mcp-server",
"python", "-m", "src.server",
"--profile", "claude-code",
"--transport", "stdio",
"--auto-load", "/path/to/model.xml.zip"
]
}
}
}
Alternative: SSE transport (any MCP client, via mcp-remote)
Stdio is the recommended transport for local use — no port, no bridge, direct IPC. SSE is available for clients that can only speak HTTP or when you want to share one long-running server across multiple clients.
Start the server in SSE mode:
uv run python -m src.server --profile claude-code --transport sse --port 8008
Then connect any MCP client via the mcp-remote bridge:
{
"mcpServers": {
"sgraph": {
"command": "npx",
"args": ["-y", "mcp-remote", "http://localhost:8008/sse"]
}
}
}
Where do sgraph models come from?
sgraph models (.xml.zip files) are produced by Softagram code analysis or the open-source sgraph CLI tools.
The models represent your codebase as a hierarchical graph:
/Project
/Project/src
/Project/src/auth/login.py
/Project/src/auth/login.py/LoginHandler (class)
/Project/src/auth/login.py/LoginHandler/validate (method)
/Project/External
/Project/External/Python/requests (third-party)
Each element can have associations (dependencies) to other elements, forming a complete dependency graph.
Tools
The claude-code profile provides 6 tools optimized for AI-assisted development:
| Tool | What it does | When to use |
|---|---|---|
sgraph_search_elements |
Find symbols by pattern | "Where is the UserService class?" |
sgraph_get_element_dependencies |
Query incoming/outgoing deps | "What calls this function?" |
sgraph_get_element_structure |
Explore hierarchy | "What's inside this module?" |
sgraph_analyze_change_impact |
Multi-level impact analysis | "What breaks if I change this?" |
sgraph_audit |
Architectural health checks | "Any circular dependencies?" |
sgraph_security_audit |
Security posture overview | "Any exposed secrets or CVEs?" |
The key tool is sgraph_get_element_dependencies with its result_level parameter for controlling abstraction:
result_level=None -> /Project/src/auth/login.py/LoginHandler/validate (raw)
result_level=4 -> /Project/src/auth/login.py (file)
result_level=3 -> /Project/src/auth (directory)
result_level=2 -> /Project/src (component)
For the full tool reference with workflows and examples, see SGRAPH_FOR_CLAUDE_CODE.md.
Legacy profile (14 tools)
The legacy profile provides the full original tool set for backwards compatibility:
Basic Operations:
sgraph_load_model, sgraph_get_root_element, sgraph_get_element,
sgraph_get_element_incoming_associations, sgraph_get_element_outgoing_associations
Search: sgraph_search_elements_by_name, sgraph_get_elements_by_type,
sgraph_search_elements_by_attributes
Analysis: sgraph_get_subtree_dependencies, sgraph_get_dependency_chain,
sgraph_get_multiple_elements, sgraph_get_model_overview,
sgraph_get_high_level_dependencies
uv run python -m src.server --profile legacy
Example Conversation
You: "What would break if I rename the validate() method in auth/login.py?"
Agent calls: sgraph_analyze_change_impact(element_path="/Project/src/auth/login.py/LoginHandler/validate")
Result:
5 callers in 3 files
- /Project/src/api/routes.py (2 call sites)
- /Project/src/middleware/auth.py (2 call sites)
- /Project/tests/test_auth.py (1 call site)
Warning: bidirectional dependency with /Project/src/middleware
Architecture
MCP Client Request
|
[Tools Layer] src/tools/ -- MCP tool definitions, input validation
|
[Services Layer] src/services/ -- Business logic (search, deps, security)
|
[Core Layer] src/core/ -- Model management, data conversion
|
[SGraph Library] -- Graph operations (sgraph package)
See ARCHITECTURE.md for the detailed design.
Development
# Run tests
uv run python tests/run_all_tests.py
uv run python tests/run_all_tests.py unit # Unit only
uv run python tests/run_all_tests.py integration # Integration only
# Lint
uv run ruff check src/
# Run a single test file
uv run python -m pytest tests/unit/test_collect_deps.py -v
See CONTRIBUTING.md for how to contribute.
About
Built by Softagram using the open-source sgraph library. Licensed under MIT.
Installing Sgraph
This server has no published package — it is built from source. Open the repository and follow its README.
▸ github.com/softagram/sgraph-mcp-serverFAQ
Is Sgraph MCP free?
Yes, Sgraph MCP is free — one-click install via Unyly at no cost.
Does Sgraph need an API key?
No, Sgraph runs without API keys or environment variables.
Is Sgraph hosted or self-hosted?
Self-hosted: the server runs locally on your machine via the install command above.
How do I install Sgraph in Claude Desktop, Claude Code or Cursor?
Open Sgraph on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.
Related MCPs
GitHub
PRs, issues, code search, CI status
by GitHubFilesystem
Secure file operations with configurable access controls.
Memory
Knowledge graph-based persistent memory system.
Template MCP Server
A CLI tool to create a new Model Context Protocol server project with TypeScript support, dual transport options, and an extensible structure
by mcpdotdirectCompare Sgraph with
Not sure what to pick?
Find your stack in 60 seconds
Author?
Embed badge for your README
Browse similar
All development MCPs
