Borrowing it
Nothing to install: this file belongs to wheattoast11/openrouter-deep-research-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/wheattoast11/openrouter-deep-research-mcp/main/.claude/commands/mcp-batch-research.mdgit clone --depth 1 https://github.com/wheattoast11/openrouter-deep-research-mcpWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/commands/wheattoast11/openrouter-deep-research-mcp/mcp-batch-research)<a href="https://agentmods.dev/commands/wheattoast11/openrouter-deep-research-mcp/mcp-batch-research"><img src="https://agentmods.dev/badge/commands/wheattoast11/openrouter-deep-research-mcp/mcp-batch-research/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/commands/wheattoast11/openrouter-deep-research-mcp/mcp-batch-research"><img src="https://agentmods.dev/badge/commands/wheattoast11/openrouter-deep-research-mcp/mcp-batch-research.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00000 | $0.00173 |
| Opus 5 | $0.00000 | $0.00086 |
| Sonnet 5 | $0.00000 | $0.00035 |
| Haiku 4.5 | $0.00000 | $0.00017 |
Grade A, and why
mcp-batch-research scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
MCP Batch Research
Run multiple queries in parallel. Max 10.
Steps
- Parse topics (comma/newline separated)
batch_research({ queries: [...], waitForCompletion: true })- Extract
reportIdsfrom result get_report({ reportId })for each- Compare findings
Options
| Param | Default | Description |
|---|---|---|
| waitForCompletion | true | Block until all complete |
| costPreference | "low" | "low" or "high" |
| timeoutMs | 300000 | 5 min max wait |
Example
Input: "AI safety, quantum computing, climate tech" -> queries: ["AI safety", "quantum computing", "climate tech"]
Topics
$ARGUMENTS
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 11d ago First seen · 28 lines · 0 tokens per session scan A 6274504982d0
mcp-batch-research is a command published in the GitHub repository wheattoast11/openrouter-deep-research-mcp (55 stars, last pushed 10d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 173 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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specify
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converge
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implement
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