Memory Bank
Memory Bank MCP Server provides a structured documentation system for context preservation in AI assistant environments. Built with Python using FastMCP, it offers tools for generating templates, analyzing project summaries, and retrieving guidance on Memory Bank setup and usage. The server maintains a collection of templates for core documentation files like project briefs, product context, and system patterns, enabling AI assistants to maintain consistent project knowledge across sessions despite memory resets. It's particularly valuable for developers working on complex projects who need their AI assistants to maintain context and produce self-documenting projects as a side effect.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-28.
Scan details: Circle-IR · 2026-09-28 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- file-system
- Source
- PulseMCP
- Repository
- github.com/ipospelov/mcp-memory-bank
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve Memory Bank from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.