pulsemcp verified Safe content atomic mcp-remote

Conversation Save Load

Conversation save/load MCP server that provides AI assistants with persistent conversation storage through local file system operations. Built with TypeScript using the Model Context Protocol SDK, fs-extra, and Zod for input validation, the implementation offers two core tools: save-conversation for storing conversation summaries with unique identifiers, and load-conversation for retrieving previously saved content. Features security-hardened path validation to prevent directory traversal attacks, stores files in a dedicated ~/.mcp-conversation-save-load directory, and includes comprehensive error handling with sanitized conversation IDs restricted to alphanumeric characters, hyphens, and underscores. Designed for AI assistants that need to maintain conversation context across sessions, knowledge management workflows, and applications requiring persistent storage of dialogue summaries without external database dependencies.

Cognium trust score

97%

Tier

Verified

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: database
Source: PulseMCP
Repository: github.com/nullmastermind/mcp-conversation-save-load
Author type: human
Last scanned: 2026-09-28
Updated: 2026-09-28

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MCP

Resolve Conversation Save Load 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

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"