Works with the AI tools you already use

    CClaude CodeCCursorCCodex CLIGGitHub CopilotGGemini CLIVVS CodeWWindsurf+15 more

    MCP Server Builder

    by PubsProToolkit

    1

    It defers to the current MCP spec and official SDK for exact APIs, and doesn't replace running the MCP Inspector and your own tests.

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    See it in action

    You say

    Build me an MCP server in Python that lets Claude query our internal Postgres read replica. We want to deploy it remotely.

    Your agent does

    Plan: Python + FastMCP, Streamable HTTP (remote). Flags raw SQL as dangerous and recommends a scoped get_records(table, filters) tool (or parameterized queries on a read-only role with a statement allowlist) instead of free-form SQL. Confines access to the read replica. OAuth 2.1 + PKCE on the endpoint; a scoped service credential from the secret store (no token passthrough to the DB). Structured errors that never echo the raw DB error. Audit-logs every query. Delivers a runnable skeleton with one implemented tool plus a Security Checklist Report flagging "replace placeholder OAuth provider config" and "confirm the DB role is read-only."

    What you get

    Stand up a new MCP server to expose an internal API, database, or service to Claude Code, Cursor, or other agents.Scaffold a secure remote MCP server with OAuth 2.1 and Streamable HTTP for production deployment.Convert an existing service or set of functions into spec-compliant MCP tools with strict input schemas.Build an MCP server with the security footguns handled before launch, not after.

    About this skill

    The MCP "hello world" is trivial — the SDK hands it to you. The hard part is everything that makes a server safe to deploy: MCP tools are arbitrary code execution exposed to an LLM, tool descriptions are untrusted text the model reads, and remote servers are network services handling credentials. This skill builds the server and closes those gaps up front, instead of leaving them to a later audit.

    It locks the key decisions first — TypeScript vs Python/FastMCP, stdio vs Streamable HTTP, which primitives, what the tools actually touch — then:

    • Scaffolds the project on the official SDK (pinned), JSON-RPC 2.0 under the hood
    • Defines each tool with a tight JSON Schema and a narrow, single-purpose scope
    • Implements handlers defensively — least privilege, command/path/SSRF handled
    • Wires the transport correctly (clean stdout for stdio; HTTPS + sessions for remote)
    • Adds OAuth 2.1 + PKCE + resource indicators for remote, with no token passthrough
    • Returns structured, sanitized errors that never leak internals or secrets
    • Gates destructive actions behind confirmation

    You get a runnable server skeleton with a fully implemented example tool, plus a Security Checklist Report showing how each footgun is handled and what you still need to wire (e.g., your OAuth provider). It defers to the current MCP spec and official SDK for exact APIs, and doesn't replace running the MCP Inspector and your own tests.

    To audit a server or tool definitions you didn't build — schemas, descriptions, scopes, and auth checked for a SAFE / REVIEW / BLOCK verdict — pair it with the MCP Server & Tool-Definition Security Gate.

    How to install

    Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.

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    Creator

    PubsProToolkit builds rigor-first skills for AI agents — they write your docs and content properly, then adversarially review them to catch what's wrong before it ships. The result: cleaner output and a hard quality gate in one toolkit. Built by a CMPP-certified, PhD medical writer who brings regulated-industry standards to developer docs, content, compliance, and research integrity.

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