"Non-Docker Implementation of Jira with MCP" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Single-digit millisecond search across vectors and text. At any scale, for fraction of the cost. https://warpsearch.io/
Historical market memory for AI agents using semantic vector search across years of financial market data. Discover similar market regimes, price patterns, and market context for quantitative research and algorithmic trading.
Stateless NMI + cosine fusion with entropy-driven alpha calibration
Data Oil is a multi-model database built for object storage. It uses a log-structured storage engine, snapshot isolation with optimistic commit, and a change feed from the write-ahead log. Its SQL dialect supports joins, window functions, CTEs, set operations, graph traversal and pattern matching. It has its own HNSW vector index and BM25 full-text index, and a write is searchable by keyword and vector as soon as it commits. Access is over HTTP, the PostgreSQL wire protocol (extended protocol),
Remote ChromaDB vector database MCP server with streamable HTTP transport
Hosted Upstash MCP server: Redis, QStash, Workflow, Vector, Search, Box and Blob, with OAuth.
- XataOAuthio.github.xataio
Xata MCP server lets AI agents interact with your Xata projects, and Postgres database branches.
Same functionality, consuming only 1/20 of the context window tokens.
Production-grade MCP server for discovering AI agent frameworks, vector databases, LLM gateways, and generating certified Docker Compose deployment stacks
