contextive-mcp-server
Verified Safeby BjornMelin
Overview
A TypeScript-based Model Context Protocol (MCP) server designed to orchestrate and expose multi-provider AI models and composable workflows as lean, token-efficient tools for AI clients and agent frameworks.
Installation
contextive-mcp serve --stdioEnvironment Variables
- OPENAI_API_KEY
- CONTEXTIVE_CONFIG
Security Notes
The server employs robust configuration validation using Zod and enforces secure defaults (e.g., filesystem tools are read-only, HTTP tools are disabled by default). Environment variables referenced in configuration are explicitly checked for existence. No use of 'eval', obfuscation, or hardcoded secrets was found. The 'http' server mode is explicitly marked as 'not yet implemented', which prevents unexpected network exposure. Future implementations of specific tool packs (e.g., 'fs', 'http') will require careful security review for their operational logic.
Similar Servers
mcp-use
A comprehensive framework for building full-stack Model Context Protocol (MCP) applications, including AI agents, MCP servers with UI widgets, and integrated debugging tools in both Python and TypeScript.
tmcp
A server implementation for the Model Context Protocol (MCP) to enable LLMs to access external context and tools.
boilerplate-mcp-server
Provides a production-ready foundation for developing custom Model Context Protocol (MCP) servers in TypeScript to connect AI assistants with external APIs and data sources, exemplified by an IP geolocation tool.
1xn-vmcp
An open-source platform for composing, customizing, and extending multiple Model Context Protocol (MCP) servers into a single logical, virtual MCP server, enabling fine-grained context engineering for AI workflows and agents.