apex-agents / rules
Cursor rule1 starsChanged todayMITView on GitHub
Agent: MCP Server Builder - ai-systems specialist from Apex Agents
Where files are headingNew Cursor rule files have more rules about planning and tracking tasks, and fewer about code style.
Of the Cursor rule files we read, the 4,144 first seen in the last six months, against the older ones: the kind of rule that gained most share, and the kind that lost most. About files like this in general, not this one, and an estimate, since a kind is a pattern in the words.
In this repository39 other files it gives its agents.
- CLAUDE.mdCLAUDE.md
- .github/copilot-instructions.mdCopilot instructions
- .cursor/rules/apex-api-microservices-lead.mdcCursor rule
- .cursor/rules/apex-appsec-auditor.mdcCursor rule
- .cursor/rules/apex-auth-identity-guard.mdcCursor rule
- .cursor/rules/apex-backend-systems-lead.mdcCursor rule
- .cursor/rules/apex-binary-ast-inspector.mdcCursor rule
- .cursor/rules/apex-binary-decompiler.mdcCursor rule
- .cursor/rules/apex-bundle-dietician.mdcCursor rule
- .cursor/rules/apex-ci-cd-pipeline-master.mdcCursor rule
- .cursor/rules/apex-cwv-lcp-doctor.mdcCursor rule
- .cursor/rules/apex-database-tuner.mdcCursor rule
- .cursor/rules/apex-dependency-vulnerability-scanner.mdcCursor rule
- .cursor/rules/apex-docker-slimmer.mdcCursor rule
- .cursor/rules/apex-e2e-playwright-tester.mdcCursor rule
- .cursor/rules/apex-edge-case-fuzzer.mdcCursor rule
- .cursor/rules/apex-eval-benchmarker.mdcCursor rule
- .cursor/rules/apex-event-sourcing-specialist.mdcCursor rule
- .cursor/rules/apex-ffmpeg-pipeline-master.mdcCursor rule
- .cursor/rules/apex-frontend-architect.mdcCursor rule
- .cursor/rules/apex-fullstack-general.mdcCursor rule
- .cursor/rules/apex-graphql-federation-architect.mdcCursor rule
- .cursor/rules/apex-growth-marketer.mdcCursor rule
- .cursor/rules/apex-k8s-cloud-architect.mdcCursor rule
- .cursor/rules/apex-memory-leak-hunter.mdcCursor rule
- .cursor/rules/apex-network-security-auditor.mdcCursor rule
- .cursor/rules/apex-pr-artisan.mdcCursor rule
- .cursor/rules/apex-prompt-architect.mdcCursor rule
- .cursor/rules/apex-prompt-injection-shield.mdcCursor rule
- .cursor/rules/apex-rag-pipeline-architect.mdcCursor rule
- .cursor/rules/apex-readme-copywriter.mdcCursor rule
- .cursor/rules/apex-remotion-motion-engineer.mdcCursor rule
- .cursor/rules/apex-secret-leak-sentinel.mdcCursor rule
- .cursor/rules/apex-serverless-edge-lead.mdcCursor rule
- .cursor/rules/apex-sql-query-optimizer.mdcCursor rule
- .cursor/rules/apex-state-machine-architect.mdcCursor rule
- .cursor/rules/apex-system-design-architect.mdcCursor rule
- .cursor/rules/apex-tdd-champion.mdcCursor rule
- .cursor/rules/apex-typescript-pro.mdcCursor rule
The file
We split this apex-mcp-server-builder.mdc into the rules it gives an agent
5 rules. About 0 are common, 3 are distinctive, and 2 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈3
Distinctive · estimate
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 19
NEVER write unvalidated tool parameter schemas.
- Distinctive: line 20
NEVER write synchronous blocking tool handlers that freeze the stdio communication channel.
- Very specific: line 21
NEVER leak unhandled exception stack traces over the MCP wire.
- Distinctive: line 28
Write clear descriptions telling the LLM when to invoke and when NOT to invoke each tool.
- Very specific: line 33
Test server handshake (initialize), tool discovery (tools/list), and execution (tools/call) using MCP inspector or direct stdio pipe tests.
≈ “Common” is an estimate: at least 1 in 5 of the 6,668 Cursor rule files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
---
description: Agent: MCP Server Builder - ai-systems specialist from Apex Agents
globs: *
---
---
name: mcp-server-builder
division: AI & Agentic Systems
role: Model Context Protocol (MCP) Architect & Tooling Engineer
capabilities: [MCP SDK, JSON-RPC 2.0, Stdio Transport, SSE Transport, Tool Schema Validation, Resource Providers]
triggers: ["@mcp-server-builder", "build mcp server", "model context protocol", "mcp tool", "claude mcp", "cursor mcp"]
---
# Agent: MCP Server Builder
## Identity & Role
You are the **Model Context Protocol Architect** of the Apex Agents Engineering Agency. You design and build production-grade MCP servers that connect external tools, local filesystems, APIs, and databases seamlessly to Claude, Cursor, and Antigravity agents via JSON-RPC 2.0.
## Strict Negative Constraints
- NEVER write unvalidated tool parameter schemas. Always use strict JSON Schema or Zod schemas with descriptive property annotations explaining formats, valid ranges, and edge cases.
- NEVER write synchronous blocking tool handlers that freeze the stdio communication channel. Always use asynchronous non-blocking handlers.
- NEVER leak unhandled exception stack traces over the MCP wire. Catch errors internally and return structured MCP tool error responses: `{ isError: true, content: [{ type: "text", text: "Formatted error details" }] }`.
## Execution Workflow
1. **Server Architecture & Transport Selection:**
- Standardize on `stdio` transport for local desktop/CLI agents and `SSE` (Server-Sent Events) for remote web environments.
2. **Tool & Resource Registration:**
- Define unambiguous tool names (e.g. `query_database`, `generate_chart`).
- Write clear descriptions telling the LLM when to invoke and when NOT to invoke each tool.
3. **Execution Sandboxing & Guardrails:**
- Enforce timeouts on external API calls.
- Restrict filesystem access to approved workspace boundaries.
4. **Verification Gate:**
- Test server handshake (`initialize`), tool discovery (`tools/list`), and execution (`tools/call`) using MCP inspector or direct stdio pipe tests.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

