protogrid

Search / io.github.monte-carlo-data/mcp

Monte Carlo

R2· OAuth, once

Data + AI observability — monitor and troubleshoot production-grade agents and the context they use.

v1.1.1 · active · website · descriptor JSON · versions

An agent can connect after a one-time OAuth consent by a human.Remote endpoint behind OAuth 2. Tokens stay with the agent; the registry only exposes the authorization metadata.
Quality100good
Trust69of 100
Uptime, 30 days100%
Latency p50245 ms

Connect

8 clients · secrets stay placeholders
{
  "mcpServers": {
    "monte-carlo-data": {
      "type": "http",
      "url": "https://mcp.getmontecarlo.com/mcp"
    }
  }
}
claude mcp add --transport http monte-carlo-data https://mcp.getmontecarlo.com/mcp
[mcp_servers.monte-carlo-data]
url = "https://mcp.getmontecarlo.com/mcp"
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "monte-carlo-data": {
      "type": "remote",
      "url": "https://mcp.getmontecarlo.com/mcp",
      "enabled": true
    }
  }
}
{
  "mcpServers": {
    "monte-carlo-data": {
      "type": "http",
      "url": "https://mcp.getmontecarlo.com/mcp"
    }
  },
  "deeplink": "cursor://anysphere.cursor-deeplink/mcp/install?name=monte-carlo-data&config=eyJ0eXBlIjoiaHR0cCIsInVybCI6Imh0dHBzOi8vbWNwLmdldG1vbnRlY2FybG8uY29tL21jcCJ9"
}
{
  "servers": {
    "monte-carlo-data": {
      "type": "http",
      "url": "https://mcp.getmontecarlo.com/mcp"
    }
  }
}
{
  "mcpServers": {
    "monte-carlo-data": {
      "httpUrl": "https://mcp.getmontecarlo.com/mcp"
    }
  }
}
extensions:
  "monte-carlo-data":
    enabled: true
    name: "monte-carlo-data"
    type: streamable_http
    uri: "https://mcp.getmontecarlo.com/mcp"
    timeout: 300

Quality 100 / 100good

protocoln/a · weight 25
  • n/a
    protocol.modern, protocol.stateless, protocol.transport, protocol.list_ttlno remote answered a protocol handshake (not probed yet, unreachable, or local-only)
authorization100 · weight 15
  • pass
    auth.prmProtected Resource Metadata (RFC 9728) published
  • pass
    auth.as_metadataauthorization server metadata reachable
  • pass
    auth.cimdClient ID Metadata Documents supported
  • n/a
    auth.secret_in_urlno templated URL
tool hygienen/a · weight 30
  • n/a
    tools.descriptions, tools.description_length, tools.schemas, tools.annotations, tools.directory_hints, tools.token_cost, tools.api_dumptool list unknown (behind auth, not probed, or empty)
stabilityn/a · weight 15
  • n/a
    stability.changes, stability.rug_pulltool list unknown
dependenciesn/a · weight 15
  • n/a
    deps.known_vulns, deps.mcp_sdk_version, deps.resolvableno npm or PyPI package

Tool list unknown · checked 2026-10-20 10:35 UTC

Tool changes

No tool definition changes recorded. A server's first observation is its baseline; later probes record what changes.

Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed. How it is computed.

Trust 69 / 100

no-repository
provenance45
liveness100
freshness45
hygiene80

+website +reachable +uptime-100% -stale-193d -no-repository

Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed. How it is computed.

Endpoints

remoteauthreachableuptime 30dp50protocollast ok
https://mcp.getmontecarlo.com/mcp streamable-httpoauth2 AS: https://auth.getmontecarlo.comyes100%245 ms–2026-10-20

Tools (0)

No tools observed. Tools appear once a credential-free probe can list them.

Schemas: list_tools.

Similar MCP servers

Official server.json
{
  "name": "io.github.monte-carlo-data/mcp",
  "icons": [
    {
      "src": "https://avatars.githubusercontent.com/u/51944801?v=4",
      "mimeType": "image/png"
    }
  ],
  "title": "Monte Carlo",
  "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
  "remotes": [
    {
      "url": "https://mcp.getmontecarlo.com/mcp",
      "type": "streamable-http"
    }
  ],
  "version": "1.1.1",
  "websiteUrl": "https://docs.getmontecarlo.com/docs/mcp-server",
  "description": "Data + AI observability — monitor and troubleshoot production-grade agents and the context they use."
}