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Side-by-side MCP evidence comparison
Evidence fieldPagerDuty MCPWatchlist candidateMCP Server for Splunk platformMCP100 Selected
Task fit
Best for
  • Connect compatible AI clients to PagerDuty's documented MCP capabilities.
  • Security and operations investigation over authorized Splunk searches and platform objects.
Not ideal for
  • Users who need a fully reviewed MCP100 recommendation today
  • Teams outside the publisher ecosystem or without least-privilege credentials
Avoid when
  • Permissions, credentials, and connected data cannot be tested with least privilege
  • The connected identity is broader than the task requires
  • Tool calls cannot be reviewed before consequential mutations
Provenance
Provenance details

First-party MCP

PagerDuty · Publisher source ↗

First-party MCP

ecosystem:splunk-platform · Publisher source ↗

Maintenance
Maintenance details

Repo: Jul 15, 2026

Package: Not documented

Repo: Not documented

Package: Not documented

Popularity evidence
GitHub stars

75

GitHub stars · checked 2026-08-14T18:46:26.000Z

Not documented
External adoption evidence
  • zPlatform: Weekly downloads: 25,648zPlatform: Weekly downloads · Weekly · checked 2026-07-20T08:05:31.779ZEvidence source ↗
  • github: repository stars: 75Exact attributable signal.github: repository stars · Admission snapshot · checked 2026-08-14T18:46:26.000ZEvidence source ↗
Not documented
Client coverage
Client coverage details
Claude Code✓ Streamable HTTP
Claude Desktop✓ Streamable HTTP
Codex✓ Streamable HTTP
VS Code✓ Streamable HTTP
Cursor✓ Streamable HTTP
OpenCode✓ Streamable HTTP
Claude Code✓ Local stdio
Claude Desktop✓ Local stdio
Codex✓ Local stdio
VS Code✓ Local stdio
Cursor✓ Local stdio
OpenCode✓ Local stdio
Client coverage noteLocal stdio runs on your computer. Streamable HTTP connects to a remotely hosted MCP server.
Access and data
AuthenticationFollow only the publisher source; credential storage, scopes, and revocation remain under review.Splunk documents encrypted token handling and platform authentication for its managed MCP server.
CostPublisher plans, API usage, infrastructure, or per-action charges may apply; MCP100 has not published a cost conclusion.The MCP integration has no separately verified MCP100 price conclusion. Publisher subscriptions, API usage, compute, storage, and AI-client charges may apply.
PermissionsExact permissions and read/write boundaries have not completed MCP100 review.Splunk roles, capabilities, and tool-level configuration constrain searches and platform access.
Data handlingCandidate-specific retention, subprocess, telemetry, and model-data behavior remain review items.Authorized service data and tool results pass through the MCP server to the connected AI client. Review the publisher and client data policies before using sensitive monitoring & observability information.
Limitations
Tradeoffs
  • Publisher attribution supports discovery, but does not replace an independent permissions and usability review.
  • Search results may expose sensitive security and operational events; broad search roles should not be used.
Risk contextUse a test account, least privilege, read-only controls where available, and explicit approval for mutations.Search results may expose sensitive security and operational events; broad search roles should not be used. Use a test environment where practical, least-privilege credentials, narrowly enabled tools, and explicit confirmation for mutations. MCP100 did not execute third-party server code during this documentation review.
Evidence date
Editorial review2026-07-242026-07-30
Candidate evidence2026-08-14T18:46:26.000Z2026-07-30T19:00:00.000Z

Popularity, maintenance, fit, permissions, and client support are independent evidence fields.

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