Borrowing it
Nothing to install: this file belongs to ferre-z/Search-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/ferre-z/Search-mcp/main/AGENTS.mdgit clone --depth 1 https://github.com/ferre-z/Search-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/instructions/ferre-z/search-mcp/agents-md)<a href="https://agentmods.dev/instructions/ferre-z/search-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/ferre-z/search-mcp/agents-md/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/instructions/ferre-z/search-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/ferre-z/search-mcp/agents-md.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 | $0.00784 | $0.00784 |
| Opus 5.5 | $0.00314 | $0.00314 |
| Sonnet 5.5 | $0.00157 | $0.00157 |
| Haiku 4.5 | $0.00078 | $0.00078 |
Grade A, and why
Search-mcp AGENTS.md 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 2mo 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.
How it starts
The opening of the file, as written. The whole thing — 49 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md — Eyes-MCP
Build & verify
npm run build— compile TypeScript todist/.npm run dev— run the server withtsx watch(uses.envvia dotenv).npm run test— run vitest once.npm run lint— typecheck only (tsc --noEmit). There is no ESLint or Prettier config.
Running the CLI
npm run eyes— run the CLI directly via tsx; no build step needed.bin/eyes.mjs— production CLI shim; requiresnpm run buildfirst because it importsdist/cli/index.js.- The
eyescommand that end users install is dropped byscripts/install.sh/install.ps1; it is not the same asnpm run eyes.
Running the server
npm run devstarts the MCP HTTP server locally.docker compose upbrings up the full stack:eyes-mcp, SearXNG, Redis, Crawl4AI.- Container listens on
8787internally; the installer scripts map host port51823(override withEYES_PORT) to container port8787.
Architecture facts
- One LLM in the system (
src/main-agent/). It decomposes the prompt, dispatches parallel source adapters, parses results, reviews, and synthesizes. - Adapters are no-LLM async fetchers. They write raw artifacts to
{EYES_DATA_DIR}/shards/{shardId}.json; the parse layer reads those files; the main agent never sees raw bytes. - Streamable HTTP MCP with per-session
McpServer+StreamableHTTPServerTransportpairs (multi-tenant). The server must connect the transport before handling requests (src/index.ts:116). - Dispatcher source categories:
web,github,reddit,youtube,hackernews,arxiv,wikipedia.osmandgenericadapters exist but currently map toweb.
Configuration
- CLI reads a TOML file at
~/.config/eyes/config.toml(XDG-aware viaXDG_CONFIG_HOME), parsed bysmol-toml. - The Docker server reads env vars only (
.envordocker-compose.yml); it does not read the TOML. - Env always overrides file config. Legacy
GEMINI_API_KEYstill maps onto Google AI Studio. - Provider ids are
google-ai-studioandopenrouter. - Per-session rate limiting is intentionally not implemented in v0.1; it is deferred to v0.2.
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.
- 2mo ago First seen · 49 lines · 784 tokens per session scan A bd75e690e02e
Search-mcp AGENTS.md is an instructions file published in the GitHub repository ferre-z/Search-mcp (0 stars, last pushed 4mo ago), licensed MIT. It adds 784 tokens to every session, about $0.0031 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 2026-08-31.
Search-mcp AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| Search-mcp AGENTS.mdferre-z/Search-mcp | Instructions file | 0 | 4mo ago | MIT | A | 784 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | yesterday | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |