Search / io.github.setheerwagen/mcp-ollama-vllm
Ollama / vLLM Bridge
L0· runs locallyCall your local Ollama or vLLM model over MCP with schema-validated JSON output
v1.0.3 · active · repository · descriptor JSON · versions
Search / io.github.setheerwagen/mcp-ollama-vllm
L0· runs locallyCall your local Ollama or vLLM model over MCP with schema-validated JSON output
v1.0.3 · active · repository · descriptor JSON · versions
{
"mcpServers": {
"mcp-ollama-vllm": {
"command": "uvx",
"args": [
"mcp-ollama-vllm==1.0.3"
],
"env": {
"LOCAL_BACKEND": "ollama",
"LOCAL_API_KEY": "${LOCAL_API_KEY}",
"LOCAL_TIMEOUT": "600",
"LOCAL_EMBED_MODEL": "nomic-embed-text",
"LOCAL_EMBED_PATH": "/v1/embeddings",
"LOCAL_SCHEMA_MODE": "auto"
}
}
}
}claude mcp add mcp-ollama-vllm -e "LOCAL_BACKEND=ollama" -e "LOCAL_API_KEY=${LOCAL_API_KEY}" -e "LOCAL_TIMEOUT=600" -e "LOCAL_EMBED_MODEL=nomic-embed-text" -e "LOCAL_EMBED_PATH=/v1/embeddings" -e "LOCAL_SCHEMA_MODE=auto" -- uvx mcp-ollama-vllm==1.0.3[mcp_servers.mcp-ollama-vllm]
command = "uvx"
args = ["mcp-ollama-vllm==1.0.3"]
env = { "LOCAL_BACKEND" = "ollama", "LOCAL_API_KEY" = "${LOCAL_API_KEY}", "LOCAL_TIMEOUT" = "600", "LOCAL_EMBED_MODEL" = "nomic-embed-text", "LOCAL_EMBED_PATH" = "/v1/embeddings", "LOCAL_SCHEMA_MODE" = "auto" }
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"mcp-ollama-vllm": {
"type": "local",
"command": [
"uvx",
"mcp-ollama-vllm==1.0.3"
],
"enabled": true,
"environment": {
"LOCAL_BACKEND": "ollama",
"LOCAL_API_KEY": "{env:LOCAL_API_KEY}",
"LOCAL_TIMEOUT": "600",
"LOCAL_EMBED_MODEL": "nomic-embed-text",
"LOCAL_EMBED_PATH": "/v1/embeddings",
"LOCAL_SCHEMA_MODE": "auto"
}
}
}
}{
"mcpServers": {
"mcp-ollama-vllm": {
"command": "uvx",
"args": [
"mcp-ollama-vllm==1.0.3"
],
"env": {
"LOCAL_BACKEND": "ollama",
"LOCAL_API_KEY": "${LOCAL_API_KEY}",
"LOCAL_TIMEOUT": "600",
"LOCAL_EMBED_MODEL": "nomic-embed-text",
"LOCAL_EMBED_PATH": "/v1/embeddings",
"LOCAL_SCHEMA_MODE": "auto"
}
}
},
"deeplink": "cursor://anysphere.cursor-deeplink/mcp/install?name=mcp-ollama-vllm&config=eyJjb21tYW5kIjoidXZ4IiwiYXJncyI6WyJtY3Atb2xsYW1hLXZsbG09PTEuMC4zIl0sImVudiI6eyJMT0NBTF9CQUNLRU5EIjoib2xsYW1hIiwiTE9DQUxfQVBJX0tFWSI6IiR7TE9DQUxfQVBJX0tFWX0iLCJMT0NBTF9USU1FT1VUIjoiNjAwIiwiTE9DQUxfRU1CRURfTU9ERUwiOiJub21pYy1lbWJlZC10ZXh0IiwiTE9DQUxfRU1CRURfUEFUSCI6Ii92MS9lbWJlZGRpbmdzIiwiTE9DQUxfU0NIRU1BX01PREUiOiJhdXRvIn19"
}{
"servers": {
"mcp-ollama-vllm": {
"type": "stdio",
"command": "uvx",
"args": [
"mcp-ollama-vllm==1.0.3"
],
"env": {
"LOCAL_BACKEND": "ollama",
"LOCAL_API_KEY": "${LOCAL_API_KEY}",
"LOCAL_TIMEOUT": "600",
"LOCAL_EMBED_MODEL": "nomic-embed-text",
"LOCAL_EMBED_PATH": "/v1/embeddings",
"LOCAL_SCHEMA_MODE": "auto"
}
}
}
}{
"mcpServers": {
"mcp-ollama-vllm": {
"command": "uvx",
"args": [
"mcp-ollama-vllm==1.0.3"
],
"env": {
"LOCAL_BACKEND": "ollama",
"LOCAL_API_KEY": "${LOCAL_API_KEY}",
"LOCAL_TIMEOUT": "600",
"LOCAL_EMBED_MODEL": "nomic-embed-text",
"LOCAL_EMBED_PATH": "/v1/embeddings",
"LOCAL_SCHEMA_MODE": "auto"
}
}
}
}extensions:
"mcp-ollama-vllm":
enabled: true
name: "mcp-ollama-vllm"
type: stdio
cmd: "uvx"
args:
- "mcp-ollama-vllm==1.0.3"
envs:
"LOCAL_BACKEND": "ollama"
"LOCAL_API_KEY": "${LOCAL_API_KEY}"
"LOCAL_TIMEOUT": "600"
"LOCAL_EMBED_MODEL": "nomic-embed-text"
"LOCAL_EMBED_PATH": "/v1/embeddings"
"LOCAL_SCHEMA_MODE": "auto"
timeout: 300
Placeholders to fill from your own secret store: ${LOCAL_API_KEY}. The registry never accepts secret values.
This is a local package: the command runs on your machine.
Not scored: fewer than three checks apply, usually because no remote answered a credential-free probe or the server is a local package.
protocol.modern, protocol.stateless, protocol.transport, protocol.list_ttlno remote answered a protocol handshake (not probed yet, unreachable, or local-only)auth.prm, auth.as_metadata, auth.cimdno remote uses OAuthauth.secret_in_urlno templated URLtools.descriptions, tools.description_length, tools.schemas, tools.annotations, tools.directory_hints, tools.token_cost, tools.api_dumptool list unknown (behind auth, not probed, or empty)stability.changes, stability.rug_pulltool list unknownNo tool definition changes recorded. A server's first observation is its baseline; later probes record what changes.
Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed. How it is computed.
+repository +namespace-matches-repo ~liveness-unmeasured +updated-6d-ago
Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed. How it is computed.
[email protected] PyPIthis version is not known to the dependency resolver
Dependency graphs from deps.dev; advisories from OSV.dev, including the GitHub Advisory Database and the PyPI Advisory Database; all CC BY 4.0. The graph is what a clean install of this version resolves today; nothing was installed or run. How it is checked.
| package | registry | version | runtime | secrets |
|---|---|---|---|---|
mcp-ollama-vllm | pypi | 1.0.3 | – | LOCAL_API_KEY |
No tools observed. Local packages are never executed by the registry.
Schemas: list_tools.
1 other active names share this repository: io.github.setheerwagen/mcp-modelmanager
{
"name": "io.github.setheerwagen/mcp-ollama-vllm",
"title": "Ollama / vLLM Bridge",
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"version": "1.0.3",
"packages": [
{
"version": "1.0.3",
"transport": {
"type": "stdio"
},
"identifier": "mcp-ollama-vllm",
"registryType": "pypi",
"environmentVariables": [
{
"name": "LOCAL_BACKEND",
"format": "string",
"default": "ollama",
"description": "Backend to use: ollama, vllm or openai"
},
{
"name": "LOCAL_HOST",
"format": "string",
"description": "Model endpoint URL; must be local or on your own network. Required for the openai backend"
},
{
"name": "LOCAL_API_KEY",
"format": "string",
"isSecret": true,
"description": "Optional bearer token, openai backend only; sent as a header, never logged"
},
{
"name": "LOCAL_TIMEOUT",
"format": "number",
"default": "600",
"description": "Read timeout in seconds"
},
{
"name": "LOCAL_EMBED_MODEL",
"format": "string",
"default": "nomic-embed-text",
"description": "Default embedding model"
},
{
"name": "LOCAL_EMBED_PATH",
"format": "string",
"default": "/v1/embeddings",
"description": "Optional, openai backend only: embedding endpoint path"
},
{
"name": "LOCAL_SCHEMA_MODE",
"format": "string",
"default": "auto",
"description": "Optional, openai backend only: auto, response_format or none"
}
]
}
],
"repository": {
"url": "https://github.com/setheerwagen/local-ai-mcp-servers",
"source": "github",
"subfolder": "mcp-ollama-vllm"
},
"description": "Call your local Ollama or vLLM model over MCP with schema-validated JSON output"
}