Convai Analytics vs MCP Grafana
A side-by-side look at the Convai Analytics and MCP Grafana MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose Convai Analytics for monitoring work as a local process; choose MCP Grafana for monitoring as a local process. You can also run both side by side in one mcpServers block.
Which MCP server should you choose?
Choose Convai Analytics when
- You need dedicated capabilities in the Monitoring domain.
- You prefer a local stdio subprocess transport.
- You have the keys it needs:
CONVAI_API_KEY. - You want tools like
get_summary, get_metrics_catalog, list_sessions.
Choose MCP Grafana when
- You need dedicated capabilities in the Monitoring domain.
- You prefer a local stdio subprocess transport.
- Its auth model fits you: API key required.
- You have the keys it needs:
GRAFANA_URL, GRAFANA_SERVICE_ACCOUNT_TOKEN. - You want tools like
add_activity_to_incident, alerting_manage_routing, alerting_manage_rules.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | ||
|---|---|---|
| Category | Monitoring | Monitoring |
| Quality signal | 56/100 · Good | 68/100 · Great |
| Install command | Confirmed | Confirmed |
| Transport | Local subprocess (stdio) | Local subprocess (stdio) |
| Auth | Not declared | API key required |
| Pricing | Not declared | Free |
| Required env vars | CONVAI_API_KEY | GRAFANA_URLGRAFANA_SERVICE_ACCOUNT_TOKEN |
| Verified owner | Community listing | Community listing |
| GitHub stars | 0 | 3,593 |
| Directory activity | 2 views 0 installs 0 upvotes | 6 views 0 installs 0 upvotes |
| Tools | 44 | 81 |
| Full listing | View Convai Analytics | View MCP Grafana |
Tools & capabilities
Convai Analytics tools 44
get_summaryAnswer account-level questions like how many sessions, interactions, unique end users, errors, and headline latency percentiles happened in a time range.get_metrics_catalogList the public metrics this account can query so an agent can choose the right latency, reliability, usage, provider, or model metric.list_sessionsFind recent, longest, or slowest sessions for the caller's account before drilling into a session timeline or interaction trace.get_session_timelineShow the timeline of metrics and interaction ids inside one session, useful for explaining why a session felt slow.get_interaction_traceShow the per-request component spans for one interaction id, including processor/provider/model durations where available.get_first_response_summaryCharacter-first, mode-specific first-response SLA P50/P95/P99. Defaults include turn 1; use turnScope=warm for turn_id > 1.get_first_response_timeseriesBucketed first-response SLA P50/P95/P99 for one character and optional observed mode.get_first_response_breakdownGroup first-response SLA P50/P95/P99 for one character by mode, settings_hash, stage, provider, model, status, or turn_scope.get_first_response_markersReturn settings-hash change markers for one character's first-response latency graph.get_first_response_settingsFetch one sanitized latency-relevant settings snapshot by settings hash.get_interaction_first_responseReturn the additive first-response waterfall for one interaction id.get_p95_latency_over_timeAnswer whether p95 end-to-end voice latency is getting better or worse over time.- +32 more on the listing page
MCP Grafana tools 81
add_activity_to_incidentAdd a note (userNote activity) to an existing incident's timeline using its ID. The note body can include URLs which will be attached as context. Use this to add context to an incident.alerting_manage_routingManage Grafana alerting routing configuration, including notification policies, contact points and time intervals. Notification policies define how alerts are grouped, routed, and which contact points receive them. Time intervals define active/mute periods for alert notifications. When to use: - Understanding how alerts are routed to contact points/receivers - Debugging why an alert went to a specific receiver - Checking grouping, timing, or mute interval settings When NOT to use: - Checking alert rule configuration or state (use alerting_manage_rules)alerting_manage_rulesManage Grafana alert rules with full CRUD capabilities and filtering. When to use: - Understanding why an alert is or isn't firing - Auditing alert rule configuration (queries, conditions, labels, notification settings) - Finding alert rules by state, folder, group, or name - Creating, updating, or deleting alert rules - Comparing rule versions to see what changed When NOT to use: - Checking how alerts are routed to receivers (use alerting_manage_routing)alerting_manage_silencesManage Grafana alerting silences. A silence temporarily suppresses notifications for alerts whose labels match a set of matchers, without changing the alert rules themselves. Operations: - 'list': list existing silences. Optionally filter by rule_uid (matches the __alert_rule_uid__ label) or by matchers. - 'get': retrieve a single silence by silence_id. - 'create': create a new silence. Requires matchers, starts_at, ends_at (RFC3339) and comment. - 'update': modify an existing silence by silence_id. Requires matchers, starts_at, ends_at and comment. The id is only kept when the posted matchers and starts_at match the stored ones, so pass back the starts_at returned by 'get'; otherwise Alertmanager expires the old silence and returns a new id. - 'delete': expire/remove a silence by silence_id. When to use: - Muting noisy or expected alerts during maintenance windows - Inspecting or cleaning up existing silences When NOT to use: - Changing alert rule configuration or state (use alerting_manage_rules) - Changing how alerts are routed to receivers (use alerting_manage_routing)analyze_loki_labelsAudits a Loki label strategy and optionally diagnoses query performance. Returns per-label verdicts, missing base labels, normalisation issues, and a recommended set. Pass datasourceUid for live cardinality or labels for static scoring; both may be combined.check_datasources_healthCheck datasource health. Filter by type or UIDs; omit both to check all.create_annotationCreate a new annotation on a dashboard or panel. Set format to 'graphite' and provide 'what' for Graphite-format annotations.create_datasourceCreate a datasource. If type is ambiguous, call search_plugin_information first; install the plugin if needed. IMPORTANT: always call this tool twice. First call: provide only the type — the tool returns a field schema. After receiving the schema, you MUST ask the user for every required field value explicitly; do not infer or use defaults without user confirmation. Second call: provide the type, the display name in the top-level name argument, schemaReviewed=true, and the fields map populated with values confirmed by the user. Never handle credentials — remind the user to rotate any detected. Returns UID, health check, and a config page link.create_folderCreate a Grafana folder. Provide a title and optional UID. Returns the created folder.create_incidentCreate a new Grafana incident. Requires title, severity, and room prefix. Allows setting status, labels and custom fields. This tool should be used judiciously and sparingly, and only after confirmation from the user, as it may notify or alarm lots of people.create_snapshotCreate a Grafana snapshot from a full dashboard payload. Supports optional expiration and external snapshot fields.delete_annotationPermanently delete an annotation by ID. The annotation cannot be recovered afterwards.- +69 more on the listing page
Ready-to-paste client configs
Paste either block (or both) into your client config, e.g. claude_desktop_config.json or ~/.cursor/mcp.json. We only show a config when the install command is confirmed.
Convai Analytics
{
"mcpServers": {
"convai-analytics": {
"command": "npx",
"args": [
"-y",
"@convai/analytics-mcp@latest"
],
"env": {
"CONVAI_API_KEY": "YOUR_CONVAI_API_KEY_HERE"
}
}
}
}
MCP Grafana
{
"mcpServers": {
"grafana-mcp-grafana": {
"command": "uvx",
"args": [
"mcp-grafana"
],
"env": {
"GRAFANA_URL": "YOUR_GRAFANA_URL_HERE",
"GRAFANA_SERVICE_ACCOUNT_TOKEN": "YOUR_GRAFANA_SERVICE_ACCOUNT_TOKEN_HERE"
}
}
}
}
Frequently asked questions
Convai Analytics is categorized under Monitoring and uses a local stdio subprocess. MCP Grafana belongs to Monitoring and uses a local stdio subprocess. Pick Convai Analytics for monitoring work and MCP Grafana for monitoring.
Copy the mcpServers block from the config section on this page into your client's config (for example claude_desktop_config.json or ~/.cursor/mcp.json), then fully restart the client.
Convai Analytics has no declared pricing — check the project's own site. MCP Grafana is listed as free. Auth: api key required. If a server needs environment variables such as API keys, define them under the env key in your client's MCP config.
Yes. MCP clients support multiple servers: add convai-analytics and grafana-mcp-grafana as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, Convai Analytics has a quality signal of 56/100 (Good) with 2 views, 0 installs and 0 GitHub stars. MCP Grafana has 68/100 (Great) with 6 views, 0 installs and 3,593 GitHub stars.