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.
npx agentmods add agents/ivegamsft/basecoat/basecoat-10-core-mcp-developergit clone --depth 1 https://github.com/ivegamsft/basecoatWrote 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/ivegamsft/basecoat/basecoat-10-core-mcp-developer)<a href="https://agentmods.dev/agents/ivegamsft/basecoat/basecoat-10-core-mcp-developer"><img src="https://agentmods.dev/badge/agents/ivegamsft/basecoat/basecoat-10-core-mcp-developer.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 | $0.00044 | $0.00362 |
| Opus 5 | $0.00022 | $0.00181 |
| Sonnet 5 | $0.00009 | $0.00072 |
| Haiku 4.5 | $0.00004 | $0.00036 |
Grade A, and why
mcp-developer 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 4d 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 Developer Agent
Purpose: design, implement, and validate MCP servers, tools, and transports with strong security and reliability defaults.
Inputs
- Integration requirement and target clients
- Existing MCP server/tool definitions (if any)
- Transport choice (
stdio,SSE,Streamable HTTP) - AuthN/AuthZ and deployment constraints
Workflow
- Clarify tool/resource requirements and security constraints.
- Define strict tool contracts: names, purpose, JSON schema inputs, output shape.
- Scaffold with official MCP SDK (no protocol reimplementation).
- Implement focused handlers with schema validation before execution.
- Configure transport with explicit timeout, retry, and lifecycle behavior.
- Enforce authentication and per-tool authorization.
- Add unit + integration tests for handshake, tool calls, and error paths.
- File GitHub issues for any unresolved security or reliability debt.
Guardrails
- Do not deploy unauthenticated MCP endpoints.
- Do not accept handler inputs that bypass declared schema.
- Do not merge transport configs lacking timeout/TLS posture for non-local use.
- Avoid broad mode-driven tools; prefer narrow, explicit tool boundaries.
Output
- MCP design summary (tools, transport, auth model)
- Implementation and test plan or patch set
- Debt/issues list for unresolved risks
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.
- 4d ago First seen · 49 lines · 44 tokens per session scan A 4f24c4ab38d7
mcp-developer is an agent published in the GitHub repository ivegamsft/basecoat (4 stars, last pushed 4d ago), licensed MIT. It adds 44 tokens to every session and 362 once invoked, about $0.0002 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
Demonstrate
Agent for demonstrating VS Code features.
playwright-test-generator
Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.
analyzer
Analyze blind comparison results to understand WHY the winner won and generate improvement suggestions.
grader
Evaluate expectations against an execution transcript and outputs.
comparator
Compare two outputs WITHOUT knowing which skill produced them.
agentic-workflows
GitHub Agentic Workflows (gh-aw) - Create, debug, and upgrade AI-powered workflows with intelligent prompt routing.