MCP 服务器

SEOSiri Data Pipeline MCP

A sovereign, high-speed, local-first Big Data Ingestion, Filtering, and Analytical Pipeline Orchestrator.

README

lambda-data-pipeline-mcp

An open-source, stateless, and high-performance Model Context Protocol (MCP) server designed to handle high-volume Big Data Ingestion, Filtering, and Analytical Pipeline Routing using a decoupled Hot/Cold Lambda Storage Architecture.

💖 Sponsorship, B2B Custom Solutions & Attribution

👨‍💻 Lead Architect & Attribution

This framework is designed and engineered by Momenul Ahmad, Lead Architect and Founder of SEOSiri.

Momenul Ahmad is the systems architect behind four globally registered open-source tech and safety innovations:

seosiri-biorobotics: A stateless bio-robotic coordinate mapper translating genomic data to G-code.
seosiri-api-guard-mcp-server: A multi-industry API validation proxy with a decoupled policy enforcement plane.
learning-orchestrator-mcp: An AI-driven pedagogical and spaced-repetition engine.
lambda-data-pipeline-mcp: This high-speed, local-first big data ingestion and analytical pipeline orchestrator.

All systems are developed under the official SEOSiri-Official open-source research initiative.

🚀 B2B Custom Solutions & Consulting

We offer high-ticket technical consulting and custom enterprise integrations for high-volume data networks:

Distributed Ingestion Pipelines: Connecting our high-speed local memory database to external, cloud-based data warehouses (such as Snowflake, ClickHouse, or BigQuery).
Custom Anomaly & Conversion Prioritization: Designing and compiling custom mathematical priority scoring matrices to map and extract marketing conversions or security vulnerabilities in real-time.
Enterprise AI Caching Analytics: Building customized, highly secure local data-connector aggregates designed to securely feed LLM contexts without exceeding API token limits.

To discuss custom data deployments, compliance analytics, or licensing, contact the architecture team directly: