federated_search
shallowio.github.alimbenhelal-pro/alm-xpp-mcp · Verify this server
Fan-out search across multiple ALM XPP MCP server instances in parallel and merge results using Reciprocal Rank Fusion (RRF). Useful when D365 code is split across multiple organisations or knowledge bases (e.g. one per client, one standard KB). Peer servers are configured via D365_FEDERATION_PEERS env var (comma-separated list of base URLs, e.g. https://org2.almxpp.com). The local server is always included as the primary source.
1 trials · measured 8 days ago
federated_search scores 100.0/100 on Vouch's measured behaviour index, from 1 real invocation trials against io.github.alimbenhelal-pro/alm-xpp-mcp, measured 25 Aug 2026 under methodology v0.2.0. Every measured component scored 100.
Component breakdown
| Component | Weight | Value |
|---|---|---|
| Reliability | 35% | not applicable |
| Schema integrity | 25% | 100.0 |
| Failure behaviour | 15% | not applicable |
| Latency | 15% | not applicable |
| Concurrency | 10% | not applicable |
Tool details
- Transport
- remote + stdio
- Credential class
- self-provisionable
- Input schema
- not declared
- Output schema
- not declared
- Side-effect classification
- unclassified
Score history
| Day | Score | Tier | Methodology |
|---|---|---|---|
| 2026-08-25 | 100.0 | shallow | v0.2.0 |
Probe evidence
| Probe | Outcomes |
|---|---|
| schema_integrity | pass: 1 |
Raw request/response logs are not archived yet — the outcome counts above are drawn directly from every recorded trial.
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[](https://vouch.tools/tools/e010f30c-0419-47eb-8694-48d2904fb507)