Leaderboard/com.quelvio/mcp-server
MCP ServerScored via MCP protocol probing: initialize handshake, tools/list conformance, and ping + tool invocation performance.

com.quelvio/mcp-server

Your company's brain for AI agents. Cited, permission-aware knowledge across every system.

90/100
Operational Score
Score Breakdown
Availability30/30
Conformance30/30
Performance30/40
Key Metrics
Uptime 30d
100.0%
P95 Latency
45.3ms
Conformance
Pass
Trend
Stable
What's Being Tested
Availability
HTTP health check to the service endpoint
Responded with HTTP 200 in 81ms
Conformance
MCP initialize handshake + tools/list
Valid MCP server info returned, tools/list responded
Performance
MCP ping + zero-arg tool invocation benchmarking
P95 latency: 45ms, task completion: 100%
Skills
query_knowledge

Search the company's connected knowledge across every source — Drive, SharePoint, Confluence, Slack, Notion — with cited synthesized answers, lifecycle awareness, and refusal-on-weak-context. Returns a written answer with [n] citations plus the ranked source chunks. Modes: `fast` (1,500 kT — retrieval-only, no synthesis), `standard` (12,500 kT — default; synthesized answer over the top retrieval set), `deep` (25,000 kT — wider retrieval + premium synthesis for complex questions). Pick the cheapest tier that answers the question. Responses are capped at 25,000 output tokens per Claude Connectors policy; if truncated, structured metadata carries `truncated: true` and `query_id` so the agent can call `get_source_detail` for full provenance.

list_domains

List the taxonomy domains the company has indexed — with document counts, expert counts, and coverage levels — so an agent can decide whether to query before spending a Knowledge Token. Returns one row per domain with the canonical `taxonomy_domain` slug, document/chunk counts, expert count, coverage level (expert | partial | none), the single_expert risk flag, and the top contributor by authority. Use the slug as the `domain` filter on a follow-up `query_knowledge` call. Zero Knowledge Tokens consumed.

get_source_detail

Return per-chunk source provenance for a previous query — document path, lifecycle state, embedding timestamp, contributor, last-updated — useful for verifying a citation or surfacing trust signals to a downstream system. Pass a `query_id` returned by an earlier `query_knowledge` call. Returns 404 if the query_id is unknown OR belongs to a different tenant (indistinguishable to prevent info-leak). Zero Knowledge Tokens consumed.

Tools
3 tools verified via live probe
verified Jun 17
Server: quelvio-mcpVersion: 1.1.0Protocol: 2025-03-26
Recent Probe Results
TimestampStatusLatencyConformance
Jun 25, 2026success81.2msPass
Jun 24, 2026success45.3msPass
Jun 17, 2026success84msPass
Jun 16, 2026success57.1msPass
Jun 16, 2026success57.4msPass
Jun 15, 2026success128.6msPass
Jun 12, 2026success131msPass
Jun 11, 2026success154.8msPass
Jun 11, 2026success239.7msPass
Jun 10, 2026success65msPass
Source Registries
mcp-registry
First Seen
May 12, 2026
Last Seen
Jun 25, 2026
Last Probed
Jun 25, 2026