Ask Gemini vs Joao Berne MCP
A side-by-side look at the Ask Gemini and Joao Berne 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 Joao Berne 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-codex, ask-codex-edit, ping.
Choose Joao Berne MCP when
- You need dedicated capabilities in the Conversational AI domain.
- You prefer a local stdio subprocess transport.
- You want tools like
Consult, Build, Review.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | ||
|---|---|---|
| Category | Conversational AI | Conversational AI |
| Quality signal | 63/100 · Good | 52/100 · 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 | None listed |
| Verified owner | Community listing | Community listing |
| GitHub stars | 18 | 2 |
| Directory activity | 1 views 0 installs 0 upvotes | 2 views 0 installs 0 upvotes |
| Tools | 4 | 4 |
| Full listing | View Ask Gemini | View Joao Berne MCP |
Tools & capabilities
Ask Gemini tools 4
ask-codexSend a prompt to OpenAI Codex CLI (defaults to gpt-6-astra with automatic fallback on quota errors). Use for code review, second opinions, analysis, and AI-to-AI collaboration. Do not override the model parameter unless the user explicitly asks. Returns both human-readable text and a structured response (provider, model, sessionId, usage) via outputSchema. Calls are ephemeral by default; pass sessionId: "" on the first call to persist its Codex thread_id, then pass the returned sessionId on follow-up calls to continue the conversation.ask-codex-editSend a code edit request to OpenAI Codex CLI and get structured search/replace edit blocks back (via codex --output-schema). Codex reads the existing files (read-only) and proposes precise, applyable changes for Claude to apply. Use this when you want Codex to suggest specific code modifications to existing files rather than just analysis. Mirrors ask-gemini-edit.pingTest connectivity with the MCP serverget-usage-statsGet the current MCP server's session usage stats: total LLM calls, token totals (input/output/thinking/cached), wall time, and breakdowns per provider and per model. No data leaves your machine — counts are tracked in-memory for the lifetime of the server process. Returns both human-readable markdown and a structured JSON snapshot via outputSchema.
Joao Berne MCP tools 4
Consult`ask_<lane>`, `ask_all`, `ask_cascade`, `ask_best`, `conversations`, `list_models`Build`ask_build` (`mode=isolated` → diff, `mode=direct` → zone-guarded writes; with `mode=direct`, `async=true` → steerable via `job`)Review`review_diff` (`focus=code|security`), `debate` (`vote=judge|borda`), `workflow` (presets: `refine_plan`, `map_review`, `research_verify`, `fanout_compare`, `converge`, `premortem`, `test_plan`, `challenge`), `git_text` (`kind=commit|pr`)Operate`job` (`action=status|result|cancel|list|tail|steer`), `rate_lane`, `set_lane_cost`, `doctor`, `setup`
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"
]
}
}
}
Joao Berne MCP
{
"mcpServers": {
"cli-bridge-mcp": {
"command": "uvx",
"args": [
"--from",
"cli-bridge-mcp",
"cli-bridge"
]
}
}
}
Frequently asked questions
Ask Gemini is categorized under Conversational AI and uses a local stdio subprocess. Joao Berne MCP belongs to Conversational AI and uses a local stdio subprocess. Pick Ask Gemini for conversational ai work and Joao Berne 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. Joao Berne 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 cli-bridge-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 63/100 (Good) with 1 views, 0 installs and 18 GitHub stars. Joao Berne MCP has 52/100 (Good) with 2 views, 0 installs and 2 GitHub stars.