01 · Describe
Say what you need
The setup assistant names your Agent, picks a model, chooses tools, attaches knowledge bases and writes the prompt. Prefer Claude Code? Let it do the setup over MCP.
MCPSet up Agents from your coding agent
From a single sentenceto a liveAgent
The setup assistant builds your Agent. Connect it to knowledge bases and tools, publish it to the web, an API and LINE, then keep improving it with evaluations and traces.
From description to production
One platform for the whole life of an Agent
02 · Connect
Plug in knowledge and tools
Upload documents or crawl a whole website into a knowledge base. Connect MCP servers, your own APIs, or ready-made skills from the marketplace.
03 · Publish
Go live on every channel
Share a public link, embed it on your site, call the Agent API, or connect LINE, Slack, WhatsApp, Telegram and Discord.
04 · Improve
See it, then fix it
Evaluate answers against a golden set, open the trace of any turn to see what it searched and how long it took, and let knowledge gaps tell you which documents are missing.
01 / 03
All your documents, ready to search
Every file is split into passages your Agent can look through, grouped by document.
02 / 03
A question comes in
Your Agent searches every knowledge base attached to it.
03 / 03
The five closest passages answer it
Hybrid search and reranking pick them out, and the answer shows where each one came from.
Knowledge
Answers grounded in your own documents
Upload files or crawl a whole website, and Mizar keeps the knowledge base in sync. Hybrid search and reranking find the right passage, and every answer can show where it came from.
- Upload documentsPDF, Word, PowerPoint, Excel, images or a whole zip, or paste text directly.
- Crawl a websiteFollow a sitemap or a path, then re-fetch daily or weekly.
- Tune retrievalVector, full-text or hybrid search, with reranking and a score threshold.
Channels
One Agent, everywhere your people are
Build it once. The same Agent, knowledge and settings serve a public link, your website, an API and the messaging apps your people already use, and every conversation lands in the same logs.
Evaluation & monitoring
See every answer. Know what to fix.
Run your golden set before each change to see which questions always pass and which are inconsistent. Open the trace of any turn to see what it searched and where the time went, and let knowledge gaps show you which documents to add.
Evaluation
Grade answers against reference answers, key facts and expected sources, several times per question.
Traces
Every turn, step by step: what it looked up, which tools it called and how long each part took.
Knowledge gaps
Questions your Agent couldn’t answer from its knowledge, grouped so you know what to write next.
Tasks & teams
Hand off work that takes more than one answer
Put longer work on a board. Agents pick up tasks, split them into steps and leave a progress report after every run. A manager Agent can delegate to its team, a reviewer can send work back, and anything that reaches outside waits for your approval.
- Approve the plan before it starts, or an action once and always allow it.
- A reviewer sends weak work back, and asks you after three tries.
- Automations start tasks on a schedule or when another system calls.
Enterprise
Built for the way your organization runs
Sign in with your company accounts, decide who can change each Agent, and keep a record of everything that happens. Set the rules and the budget, choose the models, and run it on your own servers when you need to.
Sign-in and roles
Single sign-on with your company account, admins and members, and per-Agent access for who can use or manage it.
Activity log
Every settings change and every run is recorded. Entries can’t be edited or deleted.
Content moderation
Check questions and answers against keywords or topics, then reply with set text or hand off to a person.
Spending limit
A monthly cap per Agent, with alerts at 80% and 100%.
Any model
OpenAI, Anthropic, Google and xAI, or open models you serve yourself.
Run it on your own servers
One Docker image for the whole platform. Bring it up with Docker Compose next to a database, cache and file storage, choose your vector database, and point it at the models you host.
Developers
Bring your coding agent, or call the API
Give Claude Code or another coding agent a developer key and it can create Agents, knowledge bases and skills over MCP, with the same permissions and audit trail as the admin site. When your own systems need answers, call the Agent API with a key scoped to the Agents you choose.
- Keys, people and channels stay with you. Issue a read-only key when it only needs to look.
- Pass your own user IDs to keep each end user’s conversation separate.
- Stream the answer as server-sent events, or get one JSON response.
$ claude mcp add --transport http mizar \ https://<your-deployment>/api/v1/mcp \ --header "Authorization: Bearer mzr_…" > Build an HR help desk Agent from the files in ./handbook ✓ create_knowledge_base Employee Handbook 2026 ✓ create_knowledge_upload 18 files ✓ create_agent employee-help-desk ✓ set_agent_assets knowledge, tools ✓ test_agent "Can I take half a day of leave?"