Ask Gemini vs Prompts.chat MCP
A side-by-side look at the Ask Gemini and Prompts.chat MCP MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose Ask Gemini for conversational ai work as a local process; choose Prompts.chat MCP 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 Ask Gemini when
- You need dedicated capabilities in the Conversational AI domain.
- You prefer a local stdio subprocess transport.
- You want tools like
ask-llm, multi-llm, ask-codex.
Choose Prompts.chat MCP when
- You need dedicated capabilities in the Conversational AI domain.
- You prefer a local stdio subprocess transport.
- You have the keys it needs:
PROMPTS_API_KEY, PROMPTS_QUERY. - You want tools like
search_prompts, get_prompt.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | ||
|---|---|---|
| Category | Conversational AI | Conversational AI |
| Quality signal | 60/100 · Good | 55/100 · Good |
| Install command | Confirmed | Confirmed |
| Transport | Local subprocess (stdio) | Local subprocess (stdio) |
| Auth | Not declared | Not declared |
| Pricing | Not declared | Not declared |
| Required env vars | None listed | PROMPTS_API_KEYPROMPTS_QUERY |
| Verified owner | Community listing | Community listing |
| GitHub stars | 18 | 36 |
| Directory activity | 0 views 0 installs 0 upvotes | 1 views 0 installs 0 upvotes |
| Tools | 14 | 2 |
| Full listing | View Ask Gemini | View Prompts.chat MCP |
Tools & capabilities
Ask Gemini tools 14
ask-llmUnified orchestrator: pick a provider per call, or fan out to every installed providermulti-llmSend one prompt to multiple providers in parallel; returns per-provider responses and usage in one callask-codexCodex CLI. GPT-6 Astra with Terra fallback. Omit `sessionId` for ephemeral use, or pass `sessionId: ""` first to persist and resumeask-claudeClaude Code CLI. `opus` (Opus 5.5) with Sonnet fallback; native sessions; Read/Glob/Grep-only workspace accessask-grokOne-shot Grok prompt through explicit `xai-api` (default) or `grok-cli`; exact harness model ID; no harness/model fallbackask-cursor-agentModel-neutral Cursor Agent harness: separate provider (`claude`, `codex`, `gemini`, `grok`) + exact Cursor catalog model verified against that family; read-only ask mode; no force/trust/spend changes or fallbackask-antigravityGoogle Antigravity (`agy`) for a subscription-backed second opinion. Experimental; one-shotask-ollamaLocal Ollama. Fully private, zero cost. Server-side conversation replay via `sessionIdask-geminiGemini CLI with `@` file syntax. 1M+ token context. Live progressive output via `stream-jsonask-gemini-editStructured OLD/NEW code edit blocks from Geminifetch-chunkRetrieve chunks from cached large responsesget-usage-statsPer-session token totals, fallback counts, breakdowns by provider/model. In-memory only- +2 more on the listing page
Prompts.chat MCP tools 2
search_promptsSearch for AI prompts by keyword. Returns matching prompts with title, description, content, author, category, and tags.get_promptGet a prompt by ID. If the prompt contains template variables (like ${variable} or ${variable:default}), you may need to provide values for them.
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.
Ask Gemini
{
"mcpServers": {
"ask-gemini": {
"command": "npx",
"args": [
"-y",
"@ask-llm/codex-mcp"
]
}
}
}
Prompts.chat MCP
{
"mcpServers": {
"prompts-chat-mcp": {
"command": "npx",
"args": [
"-y",
"@fkadev/prompts.chat-mcp"
],
"env": {
"PROMPTS_API_KEY": "YOUR_PROMPTS_API_KEY_HERE",
"PROMPTS_QUERY": "YOUR_PROMPTS_QUERY_HERE"
}
}
}
}
Frequently asked questions
Ask Gemini is categorized under Conversational AI and uses a local stdio subprocess. Prompts.chat MCP belongs to Conversational AI and uses a local stdio subprocess. Pick Ask Gemini for conversational ai work and Prompts.chat MCP 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.
Ask Gemini has no declared pricing — check the project's own site. Prompts.chat MCP 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 ask-gemini and prompts-chat-mcp as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, Ask Gemini has a quality signal of 60/100 (Good) with 0 views, 0 installs and 18 GitHub stars. Prompts.chat MCP has 55/100 (Good) with 1 views, 0 installs and 36 GitHub stars.
