Search / io.github.R09722akaBennett/nano-pdf-mcp
NanoPDF
L0· runs locallyAI-powered PDF editing and generation MCP server using Gemini Pro.
v0.1.0 · active · repository · descriptor JSON · versions
Search / io.github.R09722akaBennett/nano-pdf-mcp
L0· runs locallyAI-powered PDF editing and generation MCP server using Gemini Pro.
v0.1.0 · active · repository · descriptor JSON · versions
{
"mcpServers": {
"nano-pdf-mcp": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"GEMINI_API_KEY",
"docker.io/taibennett/nano-pdf-mcp:0.1.0"
],
"env": {
"GEMINI_API_KEY": "${GEMINI_API_KEY}"
}
}
}
}claude mcp add nano-pdf-mcp -e "GEMINI_API_KEY=${GEMINI_API_KEY}" -- docker run -i --rm -e GEMINI_API_KEY docker.io/taibennett/nano-pdf-mcp:0.1.0[mcp_servers.nano-pdf-mcp]
command = "docker"
args = ["run", "-i", "--rm", "-e", "GEMINI_API_KEY", "docker.io/taibennett/nano-pdf-mcp:0.1.0"]
env = { "GEMINI_API_KEY" = "${GEMINI_API_KEY}" }
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"nano-pdf-mcp": {
"type": "local",
"command": [
"docker",
"run",
"-i",
"--rm",
"-e",
"GEMINI_API_KEY",
"docker.io/taibennett/nano-pdf-mcp:0.1.0"
],
"enabled": true,
"environment": {
"GEMINI_API_KEY": "{env:GEMINI_API_KEY}"
}
}
}
}{
"mcpServers": {
"nano-pdf-mcp": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"GEMINI_API_KEY",
"docker.io/taibennett/nano-pdf-mcp:0.1.0"
],
"env": {
"GEMINI_API_KEY": "${GEMINI_API_KEY}"
}
}
},
"deeplink": "cursor://anysphere.cursor-deeplink/mcp/install?name=nano-pdf-mcp&config=eyJjb21tYW5kIjoiZG9ja2VyIiwiYXJncyI6WyJydW4iLCItaSIsIi0tcm0iLCItZSIsIkdFTUlOSV9BUElfS0VZIiwiZG9ja2VyLmlvL3RhaWJlbm5ldHQvbmFuby1wZGYtbWNwOjAuMS4wIl0sImVudiI6eyJHRU1JTklfQVBJX0tFWSI6IiR7R0VNSU5JX0FQSV9LRVl9In19"
}{
"servers": {
"nano-pdf-mcp": {
"type": "stdio",
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"GEMINI_API_KEY",
"docker.io/taibennett/nano-pdf-mcp:0.1.0"
],
"env": {
"GEMINI_API_KEY": "${GEMINI_API_KEY}"
}
}
}
}{
"mcpServers": {
"nano-pdf-mcp": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"GEMINI_API_KEY",
"docker.io/taibennett/nano-pdf-mcp:0.1.0"
],
"env": {
"GEMINI_API_KEY": "${GEMINI_API_KEY}"
}
}
}
}extensions:
"nano-pdf-mcp":
enabled: true
name: "nano-pdf-mcp"
type: stdio
cmd: "docker"
args:
- "run"
- "-i"
- "--rm"
- "-e"
- "GEMINI_API_KEY"
- "docker.io/taibennett/nano-pdf-mcp:0.1.0"
envs:
"GEMINI_API_KEY": "${GEMINI_API_KEY}"
timeout: 300
Placeholders to fill from your own secret store: ${GEMINI_API_KEY}. The registry never accepts secret values.
This is a local package: the command runs on your machine.
Not scored: fewer than three checks apply, usually because no remote answered a credential-free probe or the server is a local package.
protocol.modern, protocol.stateless, protocol.transport, protocol.list_ttlno remote answered a protocol handshake (not probed yet, unreachable, or local-only)auth.prm, auth.as_metadata, auth.cimdno remote uses OAuthauth.secret_in_urlno templated URLtools.descriptions, tools.description_length, tools.schemas, tools.annotations, tools.directory_hints, tools.token_cost, tools.api_dumptool list unknown (behind auth, not probed, or empty)stability.changes, stability.rug_pulltool list unknowndeps.known_vulns, deps.mcp_sdk_version, deps.resolvableno npm or PyPI packageNo tool definition changes recorded. A server's first observation is its baseline; later probes record what changes.
Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed. How it is computed.
+repository +namespace-matches-repo ~liveness-unmeasured -stale-300d -unpinned-packages(1)
Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed. How it is computed.
| package | registry | version | runtime | secrets |
|---|---|---|---|---|
docker.io/taibennett/nano-pdf-mcp:0.1.0 | oci | unpinned | – | GEMINI_API_KEY |
No tools observed. Local packages are never executed by the registry.
Schemas: list_tools.
{
"name": "io.github.R09722akaBennett/nano-pdf-mcp",
"title": "NanoPDF",
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"version": "0.1.0",
"packages": [
{
"transport": {
"type": "stdio"
},
"identifier": "docker.io/taibennett/nano-pdf-mcp:0.1.0",
"registryType": "oci",
"environmentVariables": [
{
"name": "GEMINI_API_KEY",
"isSecret": true,
"isRequired": true,
"description": "Google AI Studio API key for Gemini Pro"
}
]
}
],
"repository": {
"url": "https://github.com/R09722akaBennett/nano-pdf-mcp",
"source": "github",
"subfolder": "mcp-server"
},
"description": "AI-powered PDF editing and generation MCP server using Gemini Pro."
}