Search / io.github.ModelPiper/toolpiper
toolpiper
not classifiedOn-device MCP tools for macOS: local AI, speech, vision, browser automation, system control.
v0.0.10-beta · active · repository · website · descriptor JSON · versions
Search / io.github.ModelPiper/toolpiper
On-device MCP tools for macOS: local AI, speech, vision, browser automation, system control.
v0.0.10-beta · active · repository · website · descriptor JSON · versions
No connection block: no_connection.
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_vulns, deps.mcp_sdk_version, deps.resolvableno npm or PyPI packageNo 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-3d-ago -no-connection
Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed. How it is computed.
Nothing to connect to.
No tools observed. Tools appear once a credential-free probe can list them.
Schemas: list_tools.
{
"name": "io.github.ModelPiper/toolpiper",
"_meta": {
"io.modelcontextprotocol.registry/publisher-provided": {
"setup": "Install ToolPiper from https://modelpiper.com/download, launch it once, then: claude mcp add --transport http toolpiper http://127.0.0.1:9998/mcp",
"prompts": 5,
"platform": "macOS",
"resources": 5,
"categories": [
"inference",
"tts",
"stt",
"embeddings",
"ocr",
"vision",
"nlp",
"rag",
"browser-automation",
"testing",
"system-actions",
"video",
"outreach",
"model-management"
],
"transports": [
"streamable-http"
]
}
},
"icons": [
{
"src": "https://modelpiper.com/press/toolpiper-icon.png",
"sizes": [
"128x128"
],
"mimeType": "image/png"
}
],
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"version": "0.0.10-beta",
"repository": {
"url": "https://github.com/ModelPiper/toolpiper.git",
"source": "github"
},
"websiteUrl": "https://modelpiper.com/toolpiper",
"description": "On-device MCP tools for macOS: local AI, speech, vision, browser automation, system control."
}