ConvergeQA Compare (Due Diligence) MCP server
io.github.convergeqa/compare·v0.2.0Compare one prompt across a multi-model panel side by side, with public verification receipts.
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ConvergeQA Compare (Due Diligence) tools
No tool declarations could be read from the package source. They show once the server is installed.
Public scan report
scanner v0.1.9 · 2026-09-26 · same rubric, same numbers if you re-run it
- Code scan10 source files scanned25/25
- –Live reliabilityno gateway calls yet and no remote to proben/a
- –Tool poisoningtools not inspected (local package is not executed); not countedn/a
- Auth qualitystatic API keys via environment variables6/15
- Maintenancelast push 76 days ago12/15
- Maintainer identityregistry namespace matches repository owner7/10
How ConvergeQA Compare (Due Diligence) compares
Against every graded AI and agents MCP server, from our own scans and uptime checks. Updated after each scan run.
- Safety score
- 77/100
- higher than 50% of 4,460 AI and agents servers
Install ConvergeQA Compare (Due Diligence) in Claude Code, Cursor or VS Code
claude mcp add compare -- uvx convergeqa-mcp
What the publisher says
From the ConvergeQA Compare (Due Diligence) repository's README, as published. We do not edit it. Read it on GitHub
convergeqa-mcp
<!-- mcp-name: io.github.convergeqa/reviews --> <!-- mcp-name: io.github.convergeqa/compare -->
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 (or convergeqa-mcp-reviews): Critique and Iterate review tools.
- convergeqa-mcp compare (or convergeqa-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 comparepipx run convergeqa-mcp reviews
pipx run convergeqa-mcp compareOr 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-compareClaude Code
Set CONVERGEQAAPIKEY or CONVERGEQASERVICEACCOUNT_KEY before starting your MCP client. The default key names are uppercase environment variables.
claude mcp add convergeqa-reviews --env CONVERGEQA_API_KEY=$CONVERGEQA_API_KEY -- uvx convergeqa-mcp reviewsAdd Compare as a second server:
claude mcp add convergeqa-compare --env CONVERGEQA_API_KEY=$CONVERGEQA_API_KEY -- uvx convergeqa-mcp compareClaude Desktop
Example claudedesktopconfig.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):
Shortened. The full README is on GitHub.
Nothing above is checked by us. What we check is on the safety report.
ConvergeQA Compare (Due Diligence): common questions
- Is ConvergeQA Compare (Due Diligence) MCP server safe?
- Mostly: it is graded B (77/100). Read the ConvergeQA Compare (Due Diligence) safety report
- How do I install ConvergeQA Compare (Due Diligence)?
- It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
- Does ConvergeQA Compare (Due Diligence) need an API key?
- Yes. The registry entry asks for
CONVERGEQA_API_KEY,CONVERGEQA_SERVICE_ACCOUNT_KEY. - Is ConvergeQA Compare (Due Diligence) maintained?
- The last commit was 115 days ago (2026-07-12). The latest release is v0.2.0.
- What can I use instead of ConvergeQA Compare (Due Diligence)?
- Servers from other publishers that do the same job: Claude Prompts MCP server, LLM Sandbox MCP server and PaperBanana MCP server.
Alternatives to ConvergeQA Compare (Due Diligence)
Same job from other publishers: the closest match first, then the best rated.
- Claude PromptsReusable prompt templates, multi-step workflow chains, and quality gates for any MCP client.not reviewedEstablishedA
- LLM SandboxSecurely run LLM-generated code in isolated containers across 7 languages and 3 container backends.not reviewedWidely usedA
- PaperBananaGenerate academic diagrams and statistical plots from text using multi-agent AI.not reviewedEstablishedA
- Agent-Native AnalyticsAgent-Native Amplitude/Mixpanel - connect data sources, prompt for chartsnot reviewedEstablishedA
- ImageAI image generation and editing with prompt optimization and quality presetsnot reviewedEstablishedB