PrinceGabriel-lgtm/freshcontext-mcp

Overview

An MCP server that provides timestamped web intelligence for AI agents. It ensures data freshness by delivering content with guaranteed freshness envelopes, allowing agents to rely on up-to-date information. Built in TypeScript, it follows the Model Context Protocol for integration.

Best for

Best for
Developers building AI agents that require verifiably fresh web context

Use cases

• Fetching current web content for AI agent decision-making
• Ensuring agent context includes only data within a specified freshness window
• Timestamping web intelligence for audit or traceability in agent workflows

Notes

An MCP server that provides timestamped web intelligence for AI agents. It ensures data freshness by delivering content with guaranteed freshness envelopes, allowing agents to rely on up-to-date information. Built in TypeScript, it follows the Model Context Protocol for integration.

9 stars on GitHub. Last updated 2026-06-01. Licensed MIT.

Use cases

• Fetching current web content for AI agent decision-making
• Ensuring agent context includes only data within a specified freshness window
• Timestamping web intelligence for audit or traceability in agent workflows

Pros

• Guarantees data freshness with explicit timestamp envelopes
• Standard MCP protocol enables easy integration with compatible agents
• Lightweight TypeScript implementation for quick setup

Cons

• Very early stage with only 9 GitHub stars and limited community
• Dependent on external web sources which may introduce latency or availability issues
• No documented support for caching or offline fallback

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.