Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
git clone --depth 1 https://github.com/hfredrick69/deep-research-mcp-serverWrote 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/rules/hfredrick69/deep-research-mcp-server/03-mcp-server)<a href="https://agentmods.dev/rules/hfredrick69/deep-research-mcp-server/03-mcp-server"><img src="https://agentmods.dev/badge/rules/hfredrick69/deep-research-mcp-server/03-mcp-server/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/rules/hfredrick69/deep-research-mcp-server/03-mcp-server"><img src="https://agentmods.dev/badge/rules/hfredrick69/deep-research-mcp-server/03-mcp-server.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 | $0.00037 | $0.01883 |
| Opus 5.5 | $0.00015 | $0.00753 |
| Sonnet 5.5 | $0.00007 | $0.00377 |
| Haiku 4.5 | $0.00004 | $0.00188 |
Grade A, and why
03-mcp-server 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 yesterday.
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.
How it starts
The opening of the file, as written. The whole thing — 157 lines — stays where its author put it; the contents beside it link to each section on GitHub.
MCP Server Rules (src/mcp-server.ts)
Last reviewed: 2025-08-11 Timestamp: 2025-08-11T08:21:00-04:00
These rules align src/mcp-server.ts with @modelcontextprotocol/sdk best practices and your project’s research pipeline.
Scope & Goals
- Ensure the server exposes a clean, testable tool interface for deep research.
- Favor stdio transport for local/CLI and consider Streamable HTTP for deployment.
- Keep outputs deterministic, cache-aware, and friendly for agent clients.
Project Flow Overview (Current Code)
src/mcp-server.tsregisters a single tooldeep-researchusingserver.tool(...).- Tool handler calls
research()andwriteFinalReport()fromsrc/deep-research.ts. - Caching via
LRUCacheinmcp-server.tswith keyJSON.stringify({ query, depth, breadth, existingLearnings }). - Transport:
StdioServerTransport(process.stdin, process.stdout)withserver.connect(transport). This matches current code. Usingnew StdioServerTransport()without args is also valid per SDK docs. - Logging: helper
log()writes to stderr; progress notifications are logged only (no custom notifications emitted). - Current search provider in orchestrator: Firecrawl (migration to Exa planned; see Notes).
Agents & Tools Summary
- Tools exposed: one MCP tool
deep-research. - Orchestrator:
research(options)insrc/deep-research.ts(batches Gemini viagenerateBatch(); uses text splitters; composes final viawriteFinalReport()). - Feedback helper:
generateFeedback()insrc/feedback.ts(not exposed as MCP tool by default).
Server & Transport
- Instantiate server with name/version and optional debounced notifications:
import { McpServer } from '@modelcontextprotocol/sdk/server/mcp.js'; import { StdioServerTransport } from '@modelcontextprotocol/sdk/server/stdio.js'; const server = new McpServer( { name: 'deep-research', version: '1.0.0' }, { // Reduce message spam during rapid list changes debouncedNotificationMethods: [ 'notifications/tools/list_changed', 'notifications/resources/list_changed', 'notifications/prompts/list_changed' ] } ); // Current code passes streams explicitly; either form is acceptable const transport = new StdioServerTransport(process.stdin, process.stdout); await server.connect(transport);- SDK also supports
new StdioServerTransport()without args. Current code uses explicit streams; both are valid. - Prefer
await server.connect(transport)(async) vs promise chaining for clarity.
- SDK also supports
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.
- yesterday First seen · 157 lines · 37 tokens per session scan A d9cf397bcb0d
03-mcp-server is a cursor rule published in the GitHub repository hfredrick69/deep-research-mcp-server (0 stars, last pushed 2d ago), licensed MIT. It adds 37 tokens to every session and 1,883 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-10-30.
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