txtai
This MCP implementation provides a configurable server environment for handling memory-based operations. It offers customizable settings for server configuration, CORS, logging, and memory management through an environment file. The implementation stands out with its flexible memory limit option and support for custom data and logging directories. Built with scalability in mind, it's particularly useful for applications requiring efficient memory handling, such as chatbots, data processing systems, or AI-driven tools that need to manage and process large amounts of information. The server's ability to handle cross-origin requests makes it suitable for integration with various front-end applications, while its comprehensive logging capabilities aid in debugging and monitoring.
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 2026-09-02.
Scan details: Circle-IR · 2026-09-02 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- monitoring
- Source
- PulseMCP
- Repository
- github.com/rmtech1/txtai-assistant-mcp
- Author type
- human
- Last scanned
- 2026-09-02
- Updated
- 2026-09-02
Use via MCP
Resolve txtai 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.