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Manage support tickets and search support docs with local AI retrieval.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "MCP Support Agent" yet — see the docs or source repo.
Search support documents related to 'users cannot reset passwords' and summarize troubleshooting steps and a suggested reply.
Returns key document findings, troubleshooting steps, and a short suggested customer response.
Fetch the current open high-priority tickets and group them by issue type.
Returns a list of high-priority tickets with a brief category-based overview.
For ticket #452, search related support documents first, then provide a recommended resolution and a draft reply.
Returns supporting document context, recommended resolution steps, and a ready-to-use draft response.
Support teams can search the local support document database before replying to users to find relevant procedures and standard responses. This reduces repeated lookup work and improves response consistency.
When handling multiple support requests, teams can use the REST API to view and manage tickets in one place. It is useful for tracking open work and organizing priorities.
In support workflows, local retrieval powered by Ollama and LanceDB can provide relevant documentation context for ticket handling. It fits processes that need knowledge-base-assisted decision support.
It provides two main capabilities: ticket management through a REST API and support document search through a local vector database. The description also says it is powered by Ollama and LanceDB.
Based on the provided information, you at least need access to the REST API and a local retrieval setup related to Ollama and LanceDB. For exact installation and configuration details, see the source repository.
Besides ticket management, it also searches support documents through a local vector database, which can provide knowledge-base context for handling tickets. That is the key difference explicitly stated in the description.
Lets users query IT tickets, search knowledge bases, reset passwords, and escalate issues.
Connect CRM, tickets, and channels for AI-powered customer support automation.
Triages support tickets with evidence-based recommendations and local audit logging.
Securely search customer and ticket data, and create tickets with approval.
Give AI agents MCP tools for task management and document retrieval.
Handle support tasks like order lookup, refunds, and audit review safely.