ConvergeQA Compare
БесплатноНе проверенCompares a prompt across a multi-model AI panel with public verification receipts.
Описание
Compares a prompt across a multi-model AI panel with public verification receipts.
README
ConvergeQA is a multi-model document review system with public verification receipts. Its panels challenge thinking, surface disagreements, and document review evidence, while the responsible individual decides what to accept, reject, or revise.
This package exposes two stdio MCP servers:
convergeqa-mcp reviews(orconvergeqa-mcp-reviews): Critique and Iterate review tools.convergeqa-mcp compare(orconvergeqa-mcp-compare): Compare due-diligence review tools.
Both servers delegate to the same CLI client contracts used by ConvergeQA agent tooling. Reviews consume paid credits. The servers read a ConvergeQA Developer API key or service-account key from environment variables at runtime, and the tool never stores keys.
Links
- API keys: https://convergeqa.net/developers
- Pricing and credits: https://convergeqa.net/pricing
- Agent overview: https://convergeqa.net/agents
- Trust: https://convergeqa.net/trust
- LLM reference: https://convergeqa.net/llms.txt
Install
From PyPI:
uvx convergeqa-mcp reviews
uvx convergeqa-mcp compare
pipx run convergeqa-mcp reviews
pipx run convergeqa-mcp compare
Or directly from Git:
uvx --from git+https://github.com/convergeqa/convergeqa-mcp.git convergeqa-mcp-reviews
uvx --from git+https://github.com/convergeqa/convergeqa-mcp.git convergeqa-mcp-compare
Claude Code
Set CONVERGEQA_API_KEY or CONVERGEQA_SERVICE_ACCOUNT_KEY before starting your MCP client. The default key names are uppercase environment variables.
claude mcp add convergeqa-reviews --env CONVERGEQA_API_KEY=$CONVERGEQA_API_KEY -- uvx convergeqa-mcp reviews
Add Compare as a second server:
claude mcp add convergeqa-compare --env CONVERGEQA_API_KEY=$CONVERGEQA_API_KEY -- uvx convergeqa-mcp compare
Claude Desktop
Example claude_desktop_config.json:
{
"mcpServers": {
"convergeqa-reviews": {
"command": "uvx",
"args": ["convergeqa-mcp", "reviews"],
"env": {
"CONVERGEQA_API_KEY": "${CONVERGEQA_API_KEY}"
}
},
"convergeqa-compare": {
"command": "uvx",
"args": ["convergeqa-mcp", "compare"],
"env": {
"CONVERGEQA_API_KEY": "${CONVERGEQA_API_KEY}"
}
}
}
}
If your MCP client does not expand environment placeholders, set the key in the client environment by the method that client supports.
Other MCP Clients
These are standard stdio JSON-RPC MCP servers, so any MCP-capable client can run them: Codex CLI, OpenCode, Cursor, OpenClaw, Hermes Agent, and others. The pattern is always the same: launch the command, pass the API key in the environment.
Codex CLI (~/.codex/config.toml):
[mcp_servers.convergeqa-reviews]
command = "uvx"
args = ["convergeqa-mcp", "reviews"]
env = { "CONVERGEQA_API_KEY" = "<your key>" }
[mcp_servers.convergeqa-compare]
command = "uvx"
args = ["convergeqa-mcp", "compare"]
env = { "CONVERGEQA_API_KEY" = "<your key>" }
For clients without a uvx runtime, install once with pipx install convergeqa-mcp and point the client at the installed convergeqa-mcp-reviews and convergeqa-mcp-compare commands. Python 3.10 or newer; no other runtime dependencies.
Tools
convergeqa-mcp reviews (16 tools):
convergeqa_critique_start: Start a private authenticated Critique agent review.convergeqa_critique_status: Fetch owner-scoped Critique job status.convergeqa_critique_packet: Fetch owner-authenticated Critique packet JSON and optionally write it to a path.convergeqa_critique_session: Fetch owner-authenticated Critique session packet.convergeqa_critique_sessions: List owner-authenticated Critique sessions.convergeqa_critique_templates: List API-visible ConvergeQA templates for the configured credential.convergeqa_critique_decide: Submit delegated Critique decisions.convergeqa_critique_export: Download owner-authenticated Critique export ZIP to a caller-selected path.convergeqa_iterate_start: Start a private authenticated Iterate agent review.convergeqa_iterate_status: Fetch owner-scoped Iterate job status.convergeqa_iterate_packet: Fetch owner-authenticated Iterate packet JSON and optionally write it to a path.convergeqa_iterate_session: Fetch owner-authenticated Iterate session packet.convergeqa_iterate_sessions: List owner-authenticated Iterate sessions.convergeqa_iterate_templates: List API-visible ConvergeQA templates for the configured credential.convergeqa_iterate_decide: Submit delegated Iterate decisions.convergeqa_iterate_export: Download owner-authenticated Iterate export ZIP to a caller-selected path.
convergeqa-mcp compare (5 tools):
convergeqa_compare_submit: Submit a private authenticated Compare due-diligence job.convergeqa_compare_status: Fetch owner-scoped Compare due-diligence job status.convergeqa_compare_packet: Fetch owner-authenticated packet JSON and optionally write it to a caller-selected path.convergeqa_compare_bundle: Download owner-authenticated Compare due-diligence bundle to a caller-selected path.convergeqa_compare_run: Submit, poll, fetch packet, and optionally download packet/bundle artifacts.
Credentials
The review servers accept these default environment variable names:
CONVERGEQA_API_KEYCONVERGEQA_SERVICE_ACCOUNT_KEY
Tool arguments may override the environment variable name, but literal credential values are rejected.
Protocol
The current servers speak stdio JSON-RPC and report MCP protocol version 2024-11-05, matching the existing ConvergeQA MCP server behavior.
Установка ConvergeQA Compare
У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.
▸ github.com/convergeqa/convergeqa-mcpFAQ
ConvergeQA Compare MCP бесплатный?
Да, ConvergeQA Compare MCP бесплатный — установка в пару кликов через Unyly без оплаты.
Нужен ли API-ключ для ConvergeQA Compare?
Нет, ConvergeQA Compare работает без API-ключей и переменных окружения.
ConvergeQA Compare — hosted или self-hosted?
Self-hosted: сервер запускается локально на твоей машине командой из раздела установки.
Как установить ConvergeQA Compare в Claude Desktop, Claude Code или Cursor?
Открой ConvergeQA Compare на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.
Похожие MCP
Fetch
Web content fetching and conversion for efficient LLM usage.
AWS KB Retrieval
Retrieval from AWS Knowledge Base using Bedrock Agent Runtime.
автор: modelcontextprotocolSpring AI MCP Server
Provides auto-configuration for setting up an MCP server in Spring Boot applications.
llm-analysis-assistant
A very streamlined mcp client that supports calling and monitoring stdio/sse/streamableHttp, and can also view request responses through the /logs page. It also
автор: xuzexin-hzCompare ConvergeQA Compare with
Не уверен что выбрать?
Найди свой стек за 60 секунд
Автор?
Embed-бейдж для README
Похожее
Все в категории ai
