MisataCAUTION
Synthetic data that hits the numbers you declare, exactly. Multi-table with verified foreign-key integrity, deterministic, no model in the data path. Python + MCP server. In simple terms, a powerful demo data generator for sales/demos/seed data.
Overview
From the repository's own README, as read at the audited commit. Badges and raw HTML are left out.
The relational synthetic data engine that satisfies exact business outcomes.
Generate complete multi-table databases with foreign keys that resolve, math that reconciles, and domain-authentic prose with zero Lorem Ipsum. From a single sentence, YAML schema, or live database.
[](https://pypi.org/project/misata/) [](https://pypi.org/project/misata/) [](https://github.com/rasinmuhammed/misata/actions) [](LICENSE) [](https://colab.research.google.com/github/rasinmuhammed/misata/blob/main/notebooks/quickstart.ipynb) [](https://arxiv.org/abs/2606.08736v1) [](https://smithery.ai/servers/misata/misata) [](https://misata.studio)
Prefer a visual interface? Try **Misata Studio** to design schemas on an interactive canvas and generate datasets directly in your browser.
The Paradigm Shift
Most synthetic data tools take existing data and imitate it. But in modern engineering, you rarely have clean data to start with—or you need data designed around a specific target outcome:
- *"Monthly revenue rises from $50k
2b590031ce47OBSERVED · 2026-10-07Connect
Built from this server's own package name, version and transport as found in its source — not copied from anyone's documentation, so it cannot drift against a page we do not control. Replace the environment placeholders with a token scoped to the least it needs.
claude mcp add misata -- uvx misata==0.9.6.60
Trust audit
CAUTIONgrade B · trust 82/100 Install with care. The audit found things worth knowing before you trust its output.
| Layer | What it checks | Result |
|---|---|---|
| L0 | Provenance & inventory | WARN |
| L1 | Static analysis of the code | WARN |
| L2 | Instruction surface (what it tells the agent) | PASS |
| L3 | Class-specific surface | PASS |
| L4 | Behavioural (sandbox) | SKIPPED |
What the source does
- Filesystem
- declared (4 observation(s))
- Network
- declared (7 observation(s))
- Shell
- declared (2 observation(s))
- Dependencies
- pinned
- Secrets in source
- none-found
Findings (13)
misata.mcpb
misata_arxiv_submission.tar.gz
module = importlib.import_module(module_path)
"Nimbus Cobalt Ridge Sterling Pinnacle Anchor Beacon Compass Foundry "
"Nimbus Cobalt Ridge Sterling Pinnacle Anchor Beacon Compass Foundry "
print(f"🕵️♂️ [Agent] Mock Researching: {entity_type} in {domain}...")return hashlib.md5(content.encode()).hexdigest()[:12]
exfil_bpp = (dns_exfil["byte_count"] / dns_exfil["packet_count"]).mean()
checks.append((f"dns_exfiltration averages {exfil_bpp:.0f} bytes/packet vs "exfil_bpp > benign_dns_bpp * 1.5))
# Listening on http://0.0.0.0:8000
public/logo.png
Gates applied: no_behavioural_pass.
2b590031ce47full audit observations/trust-audit/mcp-server/rasinmuhammed__misata.json · Report an issue / request a re-scanAudit history
Every audit this server has had. A grade with a past is a grade somebody is still checking.
| Date | Source | Verdict | Grade | Score | Change |
|---|---|---|---|---|---|
| 2026-10-07 | 2b590031ce47 | CAUTION | B | 82 | first audit |
Questions
What is the Misata MCP server?
Synthetic data that hits the numbers you declare, exactly. Multi-table with verified foreign-key integrity, deterministic, no model in the data path. Python + MCP server. In simple terms, a powerful demo data generator for sales/demos/seed data.
Is Misata safe to connect to an agent?
With care. The audit graded it B (82/100) and found 13 things worth knowing before you trust this server, listed below with the exact line each was found on.
What credentials does Misata need?
It reads AWS_ACCESS_KEY_ID, AWS_BEARER_TOKEN_BEDROCK and GROQ_API_KEY from the environment. Give it a token scoped to the least it needs — an agent that can be talked into calling a tool can be talked into calling it with your credentials.
How does Misata run?
It speaks stdio, so it runs as a local process your client starts. It is published on PyPI as misata.
How current is this page?
The grade is for one exact copy of the source (2b590031ce47), read on 2026-10-07. The repository is watched and re-audited when it changes.