Search / io.github.n24q02m/wet
wet
L0· runs locallyOpen-source MCP server for AI agents: web search, content extraction, and library docs.
v3.19.2 · active · repository · descriptor JSON · versions
Search / io.github.n24q02m/wet
L0· runs locallyOpen-source MCP server for AI agents: web search, content extraction, and library docs.
v3.19.2 · active · repository · descriptor JSON · versions
{
"mcpServers": {
"wet": {
"command": "uvx",
"args": [
"wet-mcp==3.19.2"
],
"env": {
"API_KEYS": "${API_KEYS}",
"GITHUB_TOKEN": "${GITHUB_TOKEN}"
}
}
}
}claude mcp add wet -e "API_KEYS=${API_KEYS}" -e "GITHUB_TOKEN=${GITHUB_TOKEN}" -- uvx wet-mcp==3.19.2[mcp_servers.wet]
command = "uvx"
args = ["wet-mcp==3.19.2"]
env = { "API_KEYS" = "${API_KEYS}", "GITHUB_TOKEN" = "${GITHUB_TOKEN}" }
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"wet": {
"type": "local",
"command": [
"uvx",
"wet-mcp==3.19.2"
],
"enabled": true,
"environment": {
"API_KEYS": "{env:API_KEYS}",
"GITHUB_TOKEN": "{env:GITHUB_TOKEN}"
}
}
}
}{
"mcpServers": {
"wet": {
"command": "uvx",
"args": [
"wet-mcp==3.19.2"
],
"env": {
"API_KEYS": "${API_KEYS}",
"GITHUB_TOKEN": "${GITHUB_TOKEN}"
}
}
},
"deeplink": "cursor://anysphere.cursor-deeplink/mcp/install?name=wet&config=eyJjb21tYW5kIjoidXZ4IiwiYXJncyI6WyJ3ZXQtbWNwPT0zLjE5LjIiXSwiZW52Ijp7IkFQSV9LRVlTIjoiJHtBUElfS0VZU30iLCJHSVRIVUJfVE9LRU4iOiIke0dJVEhVQl9UT0tFTn0ifX0%3D"
}{
"servers": {
"wet": {
"type": "stdio",
"command": "uvx",
"args": [
"wet-mcp==3.19.2"
],
"env": {
"API_KEYS": "${API_KEYS}",
"GITHUB_TOKEN": "${GITHUB_TOKEN}"
}
}
}
}{
"mcpServers": {
"wet": {
"command": "uvx",
"args": [
"wet-mcp==3.19.2"
],
"env": {
"API_KEYS": "${API_KEYS}",
"GITHUB_TOKEN": "${GITHUB_TOKEN}"
}
}
}
}extensions:
"wet":
enabled: true
name: "wet"
type: stdio
cmd: "uvx"
args:
- "wet-mcp==3.19.2"
envs:
"API_KEYS": "${API_KEYS}"
"GITHUB_TOKEN": "${GITHUB_TOKEN}"
timeout: 300
Placeholders to fill from your own secret store: ${API_KEYS}, ${GITHUB_TOKEN}. The registry never accepts secret values.
This is a local package: the command runs on your machine.
Not scored: fewer than three checks apply, usually because no remote answered a credential-free probe or the server is a local package.
protocol.modern, protocol.stateless, protocol.transport, protocol.list_ttlno remote answered a protocol handshake (not probed yet, unreachable, or local-only)auth.prm, auth.as_metadata, auth.cimdno remote uses OAuthauth.secret_in_urlno templated URLtools.descriptions, tools.description_length, tools.schemas, tools.annotations, tools.directory_hints, tools.token_cost, tools.api_dumptool list unknown (behind auth, not probed, or empty)stability.changes, stability.rug_pulltool list unknownNo tool definition changes recorded. A server's first observation is its baseline; later probes record what changes.
Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed. How it is computed.
+repository +namespace-matches-repo ~liveness-unmeasured +updated-14d-ago
Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed. How it is computed.
[email protected] PyPIthis version is not known to the dependency resolver
Dependency graphs from deps.dev; advisories from OSV.dev, including the GitHub Advisory Database and the PyPI Advisory Database; all CC BY 4.0. The graph is what a clean install of this version resolves today; nothing was installed or run. How it is checked.
| package | registry | version | runtime | secrets |
|---|---|---|---|---|
wet-mcp | pypi | 3.19.2 | uvx | API_KEYS, GITHUB_TOKEN |
No tools observed. Local packages are never executed by the registry.
Schemas: list_tools.
And 2 more from this publisher.
{
"name": "io.github.n24q02m/wet",
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"version": "3.19.2",
"packages": [
{
"version": "3.19.2",
"transport": {
"type": "stdio"
},
"identifier": "wet-mcp",
"runtimeHint": "uvx",
"registryType": "pypi",
"environmentVariables": [
{
"name": "API_KEYS",
"isSecret": true,
"description": "Provider API keys (format: PROVIDER_API_KEY:key,...). Select models per task with EMBEDDING_MODELS / RERANK_MODELS / LLM_MODELS (CSV provider/model, order = litellm fallback); provider is inferred from the model prefix. Empty embedding/rerank chain falls back to fastretrieval's built-in local reference model."
},
{
"name": "GITHUB_TOKEN",
"isSecret": true,
"description": "GitHub personal access token for higher rate limits on library discovery"
}
]
}
],
"repository": {
"url": "https://github.com/n24q02m/wet.git",
"source": "github"
},
"description": "Open-source MCP server for AI agents: web search, content extraction, and library docs."
}