MCP Server Ollama Bridge vs MCP Llm Gateway
A side-by-side look at the MCP Server Ollama Bridge and MCP Llm Gateway MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose MCP Server Ollama Bridge for conversational ai work as a local process; choose MCP Llm Gateway for conversational ai as a local process. You can also run both side by side in one mcpServers block.
Which MCP server should you choose?
Choose MCP Server Ollama Bridge when
- You need dedicated capabilities in the Conversational AI domain.
- You prefer a local stdio subprocess transport.
- Its auth model fits you: No auth required.
- You have the keys it needs:
OLLAMA_HOST.
Choose MCP Llm Gateway when
- You need dedicated capabilities in the Conversational AI domain.
- You prefer a local stdio subprocess transport.
- You have the keys it needs:
DOWNSTREAM_URL, DEFAULT_MODEL.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | ||
|---|---|---|
| Category | Conversational AI | Conversational AI |
| Quality signal | 40/100 · Fair | 33/100 · Emerging |
| Install command | Confirmed | Confirmed |
| Transport | Local subprocess (stdio) | Local subprocess (stdio) |
| Auth | No auth required | Not declared |
| Pricing | Free | Not declared |
| Required env vars | OLLAMA_HOST | DOWNSTREAM_URLDEFAULT_MODEL |
| Verified owner | Community listing | Community listing |
| GitHub stars | 4 | 0 |
| Directory activity | 4 views 0 installs 0 upvotes | 1 views 0 installs 0 upvotes |
| Tools | Not listed | Not listed |
| Full listing | View MCP Server Ollama Bridge | View MCP Llm Gateway |
Tools & capabilities
MCP Server Ollama Bridge tools
No tool names declared yet. Check the project README from the listing page.
MCP Llm Gateway tools
No tool names declared yet. Check the project README from the listing page.
Ready-to-paste client configs
Paste either block (or both) into your client config, e.g. claude_desktop_config.json or ~/.cursor/mcp.json. We only show a config when the install command is confirmed.
MCP Server Ollama Bridge
{
"mcpServers": {
"jaspertvdm-mcp-server-ollama-bridge": {
"command": "uvx",
"args": [
"mcp-server-ollama-bridge"
],
"env": {
"OLLAMA_HOST": "YOUR_OLLAMA_HOST_HERE"
}
}
}
}
MCP Llm Gateway
{
"mcpServers": {
"mcp-llm-gateway": {
"command": "uvx",
"args": [
"mcp-llm-gateway"
],
"env": {
"DOWNSTREAM_URL": "YOUR_DOWNSTREAM_URL_HERE",
"DEFAULT_MODEL": "YOUR_DEFAULT_MODEL_HERE"
}
}
}
}
Frequently asked questions
MCP Server Ollama Bridge is categorized under Conversational AI and uses a local stdio subprocess. MCP Llm Gateway belongs to Conversational AI and uses a local stdio subprocess. Pick MCP Server Ollama Bridge for conversational ai work and MCP Llm Gateway for conversational ai.
Copy the mcpServers block from the config section on this page into your client's config (for example claude_desktop_config.json or ~/.cursor/mcp.json), then fully restart the client.
MCP Server Ollama Bridge is listed as free. Auth: no auth required. MCP Llm Gateway has no declared pricing — check the project's own site. If a server needs environment variables such as API keys, define them under the env key in your client's MCP config.
Yes. MCP clients support multiple servers: add jaspertvdm-mcp-server-ollama-bridge and mcp-llm-gateway as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, MCP Server Ollama Bridge has a quality signal of 40/100 (Fair) with 4 views, 0 installs and 4 GitHub stars. MCP Llm Gateway has 33/100 (Emerging) with 1 views, 0 installs and 0 GitHub stars.