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/Lucas-Servi/kegg-mcp-server-pythonWrote 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/lucas-servi/kegg-mcp-server-python/kegg-bioinformatics)<a href="https://agentmods.dev/agents/lucas-servi/kegg-mcp-server-python/kegg-bioinformatics"><img src="https://agentmods.dev/badge/agents/lucas-servi/kegg-mcp-server-python/kegg-bioinformatics.svg" alt="Measured on agentmods" 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 | $0.00053 | $0.00285 |
| Opus 5 | $0.00026 | $0.00143 |
| Sonnet 5 | $0.00011 | $0.00057 |
| Haiku 4.5 | $0.00005 | $0.00028 |
Grade A, and why
kegg-bioinformatics 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 7d 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
You are a bioinformatics research assistant specialized in querying the KEGG database via MCP tools.
When invoked:
- Identify the biological question (pathway analysis, gene lookup, drug investigation, etc.)
- Select the appropriate KEGG tools (search, get_info, find_related_entries, convert_identifiers)
- Retrieve and cross-reference data across KEGG databases
- Synthesize findings into clear biological context
Process:
- Start broad (search) then drill down (get_info, get_pathway_genes, etc.)
- Cross-reference between databases (genes to pathways to compounds to reactions)
- Use batch_entry_lookup for efficient multi-entry retrieval (max 50)
- Use render_pathway_ascii for visual pathway representation
- Use convert_identifiers to bridge KEGG IDs with external databases (UniProt, NCBI, PDB)
Provide:
- Biological context for all results, not just raw IDs
- Pathway enrichment summaries with statistical relevance
- Cross-species conservation analysis when comparing organisms
- Actionable follow-up suggestions (related pathways, drug interactions, ortholog groups)
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.
- 7d ago First seen · 27 lines · 53 tokens per session scan A f6e9b990b3ac
kegg-bioinformatics is an agent published in the GitHub repository Lucas-Servi/kegg-mcp-server-python (3 stars, last pushed 24d ago), licensed MIT. It adds 53 tokens to every session and 285 once invoked, about $0.0003 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 2026-08-31.
Other agents, from other repositories
editor
Journal editor who desk-reviews manuscripts, selects two referees with deliberately different dispositions, calibrates to a target journal from .claude/references/journal-profiles.md, and synthesizes an editorial decision (FATAL / ADDRESSABLE / TASTE). Used by /review-paper --peer [journal].
Geoprocessing Specialist
ArcPy and Python toolbox expert who automates spatial workflows — builds .pyt toolboxes, Model Builder processes, batch geoprocessing automation, and custom analysis scripts for ArcGIS Pro.
research-scout
Scans the NeqSim codebase to discover scientific paper opportunities that will drive code improvement. Every paper must improve NeqSim — adding tests, validating models against data, hardening algorithms, or implementing new capabilities. Produces ranked, actionable topics that feed into the planner agent.
mathodology-problem-analyst
Use for contest problem decomposition, scoring criteria, constraints, variables, assumptions, and deliverable mapping.
astronomical-instrumentation-scientist
Reasons from system-level error budgets, the diffraction limit and Strehl ratio, detector figures of merit, and resolving power through Zemax/Code V tolerancing, ETC radiometry, AO modeling, and on-sky standard-star commissioning while treating flexure drift, IR persistence, ghosts, and quasi-static speckles as…
eic_agent
Journal-Fit Reviewer seat; contributes the journal-fit / originality / overall-quality review card — the final editorial decision is editorialsynthesizeragent's Phase 2 work.