Search / io.github.yashdoke7/skeletongraph
skeletongraph
L0· runs locallyZero-LLM structural code retrieval for AI coding agents, served over MCP.
v0.2.0 · active · repository · website · descriptor JSON · versions
Search / io.github.yashdoke7/skeletongraph
L0· runs locallyZero-LLM structural code retrieval for AI coding agents, served over MCP.
v0.2.0 · active · repository · website · descriptor JSON · versions
{
"mcpServers": {
"skeletongraph": {
"command": "uvx",
"args": [
"skeletongraph==0.2.0",
"serve",
"--path"
]
}
}
}claude mcp add skeletongraph -- uvx skeletongraph==0.2.0 serve --path[mcp_servers.skeletongraph]
command = "uvx"
args = ["skeletongraph==0.2.0", "serve", "--path"]
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"skeletongraph": {
"type": "local",
"command": [
"uvx",
"skeletongraph==0.2.0",
"serve",
"--path"
],
"enabled": true
}
}
}{
"mcpServers": {
"skeletongraph": {
"command": "uvx",
"args": [
"skeletongraph==0.2.0",
"serve",
"--path"
]
}
},
"deeplink": "cursor://anysphere.cursor-deeplink/mcp/install?name=skeletongraph&config=eyJjb21tYW5kIjoidXZ4IiwiYXJncyI6WyJza2VsZXRvbmdyYXBoPT0wLjIuMCIsInNlcnZlIiwiLS1wYXRoIl19"
}{
"servers": {
"skeletongraph": {
"type": "stdio",
"command": "uvx",
"args": [
"skeletongraph==0.2.0",
"serve",
"--path"
]
}
}
}{
"mcpServers": {
"skeletongraph": {
"command": "uvx",
"args": [
"skeletongraph==0.2.0",
"serve",
"--path"
]
}
}
}extensions:
"skeletongraph":
enabled: true
name: "skeletongraph"
type: stdio
cmd: "uvx"
args:
- "skeletongraph==0.2.0"
- "serve"
- "--path"
timeout: 300
This is a local package: the command runs on your machine.
Not scored: fewer than three checks apply, usually because no remote answered a credential-free probe or the server is a local package.
protocol.modern, protocol.stateless, protocol.transport, protocol.list_ttlno remote answered a protocol handshake (not probed yet, unreachable, or local-only)auth.prm, auth.as_metadata, auth.cimdno remote uses OAuthauth.secret_in_urlno templated URLtools.descriptions, tools.description_length, tools.schemas, tools.annotations, tools.directory_hints, tools.token_cost, tools.api_dumptool list unknown (behind auth, not probed, or empty)stability.changes, stability.rug_pulltool list unknowndeps.known_vulns4 advisories to act on (malicious, or rated high or critical with a fix available): GHSA-jhr6-gm9c-rqjv in [email protected] (direct, fixed in 5.6.0), GHSA-29pf-2h5f-8g72 in [email protected] (indirect, fixed in 5.3.0), GHSA-fgcw-684q-jj6r in [email protected] (indirect, fixed in 5.5.0), ...; 19 more of lower severity or without a fixdeps.mcp_sdk_versionthe official MCP SDK is not in the dependency graphdeps.resolvable[email protected] resolved: 70 packagesNo tool definition changes recorded. A server's first observation is its baseline; later probes record what changes.
Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed. How it is computed.
+repository +namespace-matches-repo +website ~liveness-unmeasured +updated-25d-ago
Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed. How it is computed.
[email protected] PyPI69 dependencies, resolved · advisories checked 2026-10-19
| advisory | severity | package | fixed in |
|---|---|---|---|
| GHSA-jhr6-gm9c-rqjvsentence-transformers local model loading bypasses trust_remote_code and executes custom Python | critical | [email protected]direct | fixed in 5.6.0 |
| GHSA-29pf-2h5f-8g72HuggingFace transformers vulnerable to remote code execution | high | [email protected]indirect | fixed in 5.3.0 |
| GHSA-fgcw-684q-jj6rhuggingface/transformers: Arbitrary Code Execution During Model Initialization in the LightGlue Model Loading Path | high | [email protected]indirect | fixed in 5.5.0 |
| GHSA-xrqw-3rrv-vx5wTransformers save_pretrained path traversal allows arbitrary file writes through chat template names | high | [email protected]indirect | fixed in 5.10.0 |
| GHSA-x9r9-c232-4q39Hugging Face Transformers downloads custom generation code before trust consent | high | [email protected]indirect | no fix yet |
| GHSA-37mw-44qp-f5jmTransformers is vulnerable to ReDoS attack through its DonutProcessor class | moderate | [email protected]indirect | fixed in 4.52.1 |
| GHSA-489j-g2vx-39wfTransformers vulnerable to ReDoS attack through its SETTING_RE variable | moderate | [email protected]indirect | fixed in 4.51.0 |
| GHSA-4w7r-h757-3r74Hugging Face Transformers vulnerable to Regular Expression Denial of Service (ReDoS) in the AdamWeightDecay optimizer | moderate | [email protected]indirect | fixed in 4.53.0 |
| GHSA-59p9-h35m-wg4gHugging Face Transformers is vulnerable to ReDoS through its MarianTokenizer | moderate | [email protected]indirect | fixed in 4.53.0 |
| GHSA-69w3-r845-3855HuggingFace Transformers allows for arbitrary code execution in the `Trainer` class | moderate | [email protected]indirect | fixed in 5.0.0rc3 |
13 more advisories in the dependencies endpoint.
Dependency graphs from deps.dev; advisories from OSV.dev, including the GitHub Advisory Database and the PyPI Advisory Database; all CC BY 4.0. The graph is what a clean install of this version resolves today; nothing was installed or run. How it is checked.
| package | registry | version | runtime | secrets |
|---|---|---|---|---|
skeletongraph | pypi | 0.2.0 | – |
No tools observed. Local packages are never executed by the registry.
Schemas: list_tools.
{
"name": "io.github.yashdoke7/skeletongraph",
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"version": "0.2.0",
"packages": [
{
"version": "0.2.0",
"transport": {
"type": "stdio"
},
"identifier": "skeletongraph",
"registryType": "pypi",
"registryBaseUrl": "https://pypi.org",
"packageArguments": [
{
"type": "positional",
"value": "serve",
"valueHint": "serve",
"description": "Start the SkeletonGraph MCP server (stdio transport)."
},
{
"name": "--path",
"type": "named",
"format": "filepath",
"isRequired": true,
"description": "Path to the project repository SkeletonGraph should index and serve.",
"placeholder": "/path/to/your/project"
}
]
}
],
"repository": {
"url": "https://github.com/yashdoke7/skeletongraph",
"source": "github"
},
"websiteUrl": "https://github.com/yashdoke7/skeletongraph",
"description": "Zero-LLM structural code retrieval for AI coding agents, served over MCP."
}