wren-engine and Context-Engine

wren-engine
76
Verified
Context-Engine
53
Established
Maintenance 25/25
Adoption 10/25
Maturity 16/25
Community 25/25
Maintenance 13/25
Adoption 10/25
Maturity 13/25
Community 17/25
Stars: 563
Forks: 165
Downloads: —
Commits (30d): 88
Language: Java
License: Apache-2.0
Stars: 362
Forks: 45
Downloads: —
Commits (30d): 0
Language: Svelte
License: —
No Package No Dependents
No Package No Dependents

About wren-engine

Canner/wren-engine

🤖 The Semantic Engine for Model Context Protocol(MCP) Clients and AI Agents 🔥

Provides semantic modeling through MDL (Modeling Definition Language) to capture business definitions, metrics, relationships, and governance rules that agents can reason over—moving beyond raw schema discovery. Built as an MCP server with connectors to 15+ data sources (Snowflake, BigQuery, PostgreSQL, DuckDB, etc.) and designed for embedding in agent workflows, Claude Desktop, and developer IDEs. Uses Apache DataFusion for query planning and execution, enabling agents to translate natural language into governed, contextualized data access rather than ad hoc SQL generation.

About Context-Engine

Context-Engine-AI/Context-Engine

Context-Engine MCP - Agentic Context Compression Suite

Provides 30+ MCP tools for semantic code search, symbol graph navigation, memory persistence, and cross-repo tracing—packaged as reusable skills that integrate with Claude, Cursor, Windsurf, Gemini, and other AI assistants. The architecture uses batch query operations for ~75% token savings and combines semantic search, symbol graph queries, git history analysis, and structural pattern matching into a unified `search` tool that auto-routes to the optimal backend. Available as a hosted service with VS Code integration and npm bridge (`ctx-mcp-bridge`), or deployed via MCP server protocol.

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