Field-by-field comparison
Compare the evidence before choosing an MCP.
Each signal stays separate, missing facts remain visible, and the column order follows your selection.
| Evidence field | Honeybadger MCPShortlist candidate | MCP Server for Splunk platformMCP100 Recommended |
|---|---|---|
| Task fit | ||
| Best for |
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| Not ideal for |
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| Avoid when |
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| Provenance | ||
| Provenance details | First-party MCP Honeybadger · Publisher source ↗ | First-party MCP ecosystem:splunk-platform · Publisher source ↗ |
| Maintenance | ||
| Maintenance details | Repo: Not documented Package: Not documented | Repo: Not documented Package: Not documented |
| Popularity evidence | ||
| GitHub stars | 24 GitHub stars · checked 2026-10-20 | Not documented |
| Client coverage | ||
| Client coverage details | Not documented | Claude Code✓ Local stdio Claude Desktop✓ Local stdio Codex✓ Local stdio VS Code✓ Local stdio Cursor✓ Local stdio OpenCode✓ Local stdio |
| Client coverage note | Local stdio runs on your computer. Streamable HTTP connects to a remotely hosted MCP server. | |
| Access and data | ||
| Authentication | Hosted Honeybadger MCP uses browser authorization with short-lived tokens that refresh automatically; the self-hosted option can use a personal auth token. | Splunk documents encrypted token handling and platform authentication for the managed MCP Server for Splunk Platform 2.0. No public-repository metric is required for this managed-service identity. |
| Cost | No separate MCP fee is documented. Honeybadger has a free Developer plan and paid Team/Business plans; retention/capacity depends on the subscription. | The MCP integration has no separately verified MCP100 price conclusion. Publisher subscriptions, API usage, compute, storage, and AI-client charges may apply. |
| Permissions | Hosted authorization can be read-only or read/write. In read-only mode, write tools are filtered out. The self-hosted server defaults to read-only and requires explicit configuration to expose write tools. | Splunk roles, capabilities, and tool-level configuration constrain searches and platform access. |
| Data handling | Not documented in the reviewed sources. The reviewed Honeybadger MCP docs do not state an MCP-specific prompt/query retention or training policy. | 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 |
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| Risk context | With write access, the MCP can create/update/delete projects, comments, dashboards, alarms, check-ins and other Honeybadger resources. Destructive tools can remove monitoring configuration or data. | 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 review | 2026-10-19 | 2026-09-05 |
| Candidate evidence | 2026-10-20 | 2026-09-24T04:25:05.554391Z |
Popularity, maintenance, fit, permissions, and client support are independent evidence fields.
Read the evidence method →