MCP Tool Developer responsible for building scalable Model Context Protocol tools for autonomous AI agents. Ensuring seamless and secure interaction of AI agents with internal and external systems.
Responsibilities
Build and maintain MCP servers that expose internal data and functions to LLMs.
Write high-quality schemas so agents understand when and how to call specific functions.
Implement robust auth-proxy layers to ensure agents only access authorised data.
Build "wrappers" around legacy systems and modern APIs.
Manage how data is exposed to the Model Context, balancing "signal" vs "noise".
Ensure development, staging, and production toolsets are stable and synced.
Build error-handling that provides meaningful feedback for self-correction.
Monitor and throttle usage to prevent runaway API costs or system strain.
Maintain documentation of available tools for the wider AI Ops team.
Requirements
Strong TypeScript/JavaScript (Node.js) or Python.
Deep understanding of the Model Context Protocol (MCP) or similar standards (LSP, OpenAPI/Swagger).
Proven experience with complex API ecosystems and auth protocols (OAuth2, JWT).
Proficiency in JSON-Schema and structured data formats.
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