Gigachat MCP vs OpenRouter
A side-by-side look at the Gigachat MCP and OpenRouter MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose Gigachat MCP for conversational ai work as a local process; choose OpenRouter 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 Gigachat MCP when
- You need dedicated capabilities in the Conversational AI domain.
- You prefer a local stdio subprocess transport.
- You have the keys it needs:
GIGACHAT_AUTH_KEY.
Choose OpenRouter when
- You need dedicated capabilities in the Conversational AI domain.
- You prefer a local stdio subprocess transport.
- You have the keys it needs:
OPENROUTER_API_KEY. - You want tools like
chat, generate_image, embed.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | ||
|---|---|---|
| Category | Conversational AI | Conversational AI |
| Quality signal | 28/100 · Emerging | 49/100 · Fair |
| Install command | Confirmed | Confirmed |
| Transport | Local subprocess (stdio) | Local subprocess (stdio) |
| Auth | Not declared | Not declared |
| Pricing | Not declared | Not declared |
| Required env vars | GIGACHAT_AUTH_KEY | OPENROUTER_API_KEY |
| Verified owner | Community listing | Community listing |
| GitHub stars | 0 | 1 |
| Directory activity | 1 views 0 installs 0 upvotes | 1 views 0 installs 0 upvotes |
| Tools | Not listed | 5 |
| Full listing | View Gigachat MCP | View OpenRouter |
Tools & capabilities
Gigachat MCP tools
No tool names declared yet. Check the project README from the listing page.
OpenRouter tools 5
chatSend a prompt or message list to an OpenRouter chat model.generate_imageGenerate one image and optionally save it to an absolute local path.embedGenerate embeddings for a string or list of strings.list_modelsList models, optionally filtered by `vision`, `image_gen`, `embedding`, `tools`, or `long_context`.find_modelsSearch model names and slugs, returning up to 20 matches.
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.
Gigachat MCP
{
"mcpServers": {
"gigachat-mcp": {
"command": "npx",
"args": [
"-y",
"@theyahia/gigachat-mcp"
],
"env": {
"GIGACHAT_AUTH_KEY": "YOUR_GIGACHAT_AUTH_KEY_HERE"
}
}
}
}
OpenRouter
{
"mcpServers": {
"openrouter-2": {
"command": "uvx",
"args": [
"mcp-openrouter"
],
"env": {
"OPENROUTER_API_KEY": "YOUR_OPENROUTER_API_KEY_HERE"
}
}
}
}
Frequently asked questions
Gigachat MCP is categorized under Conversational AI and uses a local stdio subprocess. OpenRouter belongs to Conversational AI and uses a local stdio subprocess. Pick Gigachat MCP for conversational ai work and OpenRouter 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.
Gigachat MCP has no declared pricing — check the project's own site. OpenRouter 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 gigachat-mcp and openrouter-2 as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, Gigachat MCP has a quality signal of 28/100 (Emerging) with 1 views, 0 installs and 0 GitHub stars. OpenRouter has 49/100 (Fair) with 1 views, 0 installs and 1 GitHub stars.
