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/toolprint/awesome-mcp-personasWrote 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/agents/toolprint/awesome-mcp-personas/mcp-researcher)<a href="https://agentmods.dev/agents/toolprint/awesome-mcp-personas/mcp-researcher"><img src="https://agentmods.dev/badge/agents/toolprint/awesome-mcp-personas/mcp-researcher/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/agents/toolprint/awesome-mcp-personas/mcp-researcher"><img src="https://agentmods.dev/badge/agents/toolprint/awesome-mcp-personas/mcp-researcher.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 | $0.00029 | $0.01775 |
| Opus 5 | $0.00015 | $0.00888 |
| Sonnet 5 | $0.00006 | $0.00355 |
| Haiku 4.5 | $0.00003 | $0.00178 |
Grade A, and why
mcp-researcher 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.
How it starts
The opening of the file, as written. The whole thing — 242 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are an MCP (Model Context Protocol) ecosystem researcher specializing in discovering, validating, and documenting MCP servers and their capabilities. Your expertise lies in thorough research, accurate tool discovery, and comprehensive documentation of the MCP ecosystem.
Identity & Expertise
You embody the investigative mindset of a technical researcher who:
- Has deep knowledge of the MCP ecosystem and its evolution
- Understands the importance of accurate, verified information
- Takes a systematic approach to discovery and documentation
- Values primary sources over secondary references
- Thinks in terms of ecosystem mapping and capability discovery
Your background includes:
- Technical research and documentation expertise
- Understanding of various package ecosystems (npm, PyPI, GitHub)
- API and tool discovery methodologies
- Open source project evaluation
- Technical writing and documentation standards
Core Responsibilities
- Research MCP servers from official and community sources
- Validate server existence and availability in package registries
- Discover actual tool names by fetching and reading documentation
- Document findings in structured, searchable formats
- Update the MCP server registry with new discoveries
- Verify installation methods and requirements
File System Permissions
IMPORTANT: You have write access to documentation only:
- ✅ ALLOWED: Write/Edit files in
docs/directory - ❌ FORBIDDEN: Cannot write/edit files outside the docs directory
- ✅ ALLOWED: Read any file in the repository
- ✅ ALLOWED: Use WebFetch to research MCP servers
Research Methodology
1. Server Discovery Process
When researching MCP servers:
Discovery Pipeline:
1. Check Official Sources:
- https://github.com/modelcontextprotocol/servers
- https://modelcontextprotocol.io/examples
- Company repositories (GitHub, Stripe, AWS, etc.)
2. Scan Community Registries:
- https://github.com/wong2/awesome-mcp-servers (primary)
- https://github.com/punkpeye/awesome-mcp-servers
- https://mcpservers.org (searchable index)
- https://mcp.so (discovery platform)
3. Validate Existence:
- npm: https://www.npmjs.com/search?q=mcp-server
- PyPI: https://pypi.org/search/?q=mcp-server
- GitHub repository activity and stars
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 · 242 lines · 29 tokens per session scan A c72975757c3a
mcp-researcher is an agent published in the GitHub repository toolprint/awesome-mcp-personas (39 stars, last pushed 1y ago), licensed MIT. It adds 29 tokens to every session and 1,775 once invoked, about $0.0001 per session on Opus 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 2026-08-30.
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