MCP.Market

Matih MCP server

online · 100% uptime
by matih.ai·ai.matih/mcp·v0.2.1

The grounded data layer for any LLM: governed SQL, metrics, lineage and catalog over your data.

A94/100grade A
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Safety scan
A94/100

full report

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If you have run it, two minutes of your experience saves the next person an afternoon.

Matih tools

Tool list not cached yet. `describe` through the gateway fetches it live.

Public scan report

scanner v0.1.9 · 2026-09-26 · same rubric, same numbers if you re-run it

no findings
  • Code scan29 source files scanned25/25
  • Live reliabilityremote reachable in 128ms (auth required)20/20
  • –Tool poisoningtools not inspected (endpoint requires auth); not countedn/a
  • Auth qualityOAuth resource metadata advertised on 40115/15
  • Maintenancelast push 82 days ago12/15
  • Maintainer identitynamespace and repository owner differ; GitHub account older than a year; website matches verified namespace8/10
Overall 94/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How Matih compares

Against every graded Databases MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
94/100
higher than 96% of 802 Databases servers
Uptime
100%
of our recent checks; the typical remote Databases server answers 100%
Response time
374 ms
faster than 28% of 292 Databases servers

Install Matih in Claude Code, Cursor or VS Code

claude mcp add --transport http mcp https://mcp.matih.ai/api/v1/mcp
Add to Cursor

What the publisher says

From the Matih repository's README, as published. We do not edit it. Read it on GitHub

@matihlabs/mcp

Connect AI clients (Claude Desktop, ChatGPT, Cursor, …) to the Matih data platform over the Model Context Protocol. Write SQL, profile tables, run analyses + charts, manage dashboards, and upload files — all through MCP tools, with OAuth/PKCE auth and PII-safe egress.

New here? See QUICKSTART.md for a step-by-step customer

guide — create a token, connect Claude Desktop / Cursor, and copy-paste curl

smoke tests — plus a troubleshooting table.

Use as a stdio MCP server (Claude Desktop / Cursor)

Add to your client's MCP config. The token is delivered via the environment — never as a CLI flag (which leaks into the OS process list):

{
  "mcpServers": {
    "matih": {
      "command": "npx",
      "args": ["-y", "@matihlabs/mcp", "https://<slug>.app.matih.ai/api/v1/mcp"],
      "env": { "MATIH_MCP_TOKEN": "<your Matih bearer token>" }
    }
  }
}

The bridge turns the remote Matih HTTP MCP endpoint into a local stdio MCP server, forwarding every tools/call, resources/read, and prompts/get to Matih.

Endpoint: replace with your workspace slug — your Matih app lives at

https://.app.matih.ai (the bare app.matih.ai host does not resolve).

Get a matagt… token from Settings → Developer Tokens. See

QUICKSTART.md for the full walkthrough.

Use as a library

import { McpClient, MatihTools, StaticTokenProvider } from "@matihlabs/mcp";

const client = new McpClient({
  endpoint: "https://<slug>.app.matih.ai/api/v1/mcp",
  tokenProvider: new StaticTokenProvider(process.env.MATIH_MCP_TOKEN!),
});

// discovery-first: fetch the LIVE tool surface (auto-initializes + caches)
const live = await client.tools();
console.log(live.map((t) => t.name));

// call ANY tool generically — including Beta tools with no typed wrapper
const hot = await client.callTool("get_hot_context", {});

// typed convenience wrappers for the 34 STABLE tools
const graph = await new MatihTools(client).exploreGraph({ query: "orders", depth: 2 });
const matih = new MatihTools(client);
const result = await matih.runSql({ connection_id: "<id>", sql: "select 1" });

OAuth (PKCE) instead of a static token

import { McpClient, OAuthTokenProvider } from "@matihlabs/mcp";

const tokenProvider = new OAuthTokenProvider({
  resourceMetadataUrl: "https://<slug>.app.matih.ai/.well-known/oauth-protected-resource/api/v1/mcp",
  clientId: "<registered client id>",
  acquire: async ({ metadata, clientId, resource }) => {
    // open metadata.authorization_endpoint (PKCE S256, resource=<resource>),
    // capture the code at your redirect_uri, return { code, verifier, redirectUri }.
  },
});

The provider runs RFC 9728 → RFC 8414 discovery, PKCE S256, RFC 8707 resource-bound tokens, caches, and refreshes; a 401 invalid_token triggers one re-auth.

Tools

Discovery is the primary API — await client.tools() returns the live tool descriptors and client.callTool(name, args) reaches every advertised tool. The typed facade (MatihTools) covers the 34 stable tools (STABLETOOLNAMES):

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

Matih: common questions

Is Matih MCP server safe?
Yes, by our scan: it is graded A (94/100). Read the Matih safety report
How do I install Matih?
It runs remotely at mcp.matih.ai. Add it to Claude Code, Cursor, VS Code or Claude Desktop with the snippets above, or call it through the mcp.market gateway without installing anything.
Does Matih need an API key?
No key to paste: it signs you in with OAuth when your client connects.
Is Matih maintained?
The last commit was 121 days ago (2026-07-06). The latest release is v0.2.1.
Is Matih up?
100% of our last 28 checks got an answer. We check remote servers about four times a day.
What can I use instead of Matih?
Servers from other publishers that do the same job: GeoLens MCP server, StackQL MCP Server and Magic Cloud MCP server.
How does Matih compare with other Databases MCP servers?
safety score 94/100 (higher than 96% of 802 Databases servers); uptime 100% (of our recent checks; the typical remote Databases server answers 100%); response time 374 ms (faster than 28% of 292 Databases servers). Full comparison.

Alternatives to Matih

Same job from other publishers: the closest match first, then the best rated.

  • GeoLens
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    B
  • StackQL MCP Server
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    A
  • Magic Cloud
    Generate secured CRUD APIs over your database, run SQL, manage files, tasks and a headless browser
    A
  • IBM Db2 for i
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    A
  • Greptimedb
    Query GreptimeDB metrics, logs and traces with SQL, TQL and RANGE. Manage pipelines and dashboards.
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