"Spine" matching MCP servers:

Exposes a governed, provenance-grounded autonomous delivery pipeline as an MCP server, enabling AI coding assistants like Claude Code or Codex to initiate requirements-to-PR workflows with human approval gates and full audit.

A local-first middleware proxy that proxies multiple MCP servers through a single entry with schema minification, semantic routing, security hardening, and state guard.

An MCP server for discovering, downloading, querying, and analyzing datasets from Ontario's open data portals, allowing natural language questions and high-performance analytics via DuckDB.

Enables AI agents to create, read, modify, and convert Word documents without Microsoft Word, supporting 18 tools for document operations, paragraph manipulation, table management, formatting, and conversion between multiple formats including PDF, HTML, and Markdown.

A robust solution that enables AI agents to create, read, modify, and convert Excel files through the Model Context Protocol without requiring Microsoft Office installation.

SpineFrame is a audit-grade runtime that gives AI agents auditable provenance — every tool call, every piece of evidence, every decision is traced, policy-checked, and cryptographically signed. Signed evidence chains, compliance pipelines, and tool-call tracing that survives regulatory scrutiny.

Task spine + searched dead-ends + mobile approvals for AI coding agents — one shared brain across every session, machine, and device. Local SQLite or remote streamable-HTTP MCP, MIT.

A throwaway MCP server spike to prove Claude can complete OAuth 2.1 + PKCE and call a trivial ping tool.

Provides Claude AI with persistent, searchable memory management across sessions using SQL database, semantic analysis with multi-provider LLM support (Anthropic/Ollama), vector search via ChromaDB, and graph-based knowledge relationships through Neo4j integration.