20 Best Observability MCP Servers, Compared (November 2026)
The short answer
Grafana is the server most readers should reach for: it supports dashboard and datasource inspection plus Prometheus, Loki, and InfluxDB querying, had 3,643 GitHub stars, gained 107 stars in 30 days, and had 256 commits in the last 12 weeks. It also had a commit 2 days ago. If you are debugging a live Kubernetes incident, Radar is the better answer: it exposes 25 tools with an A tool description grade and had 837 commits in the last 12 weeks. For a live Datadog incident, mcp-server-datadog is the more direct fit: it exposes 21 tools for incident, monitor, log, metric, trace, host, and RUM work and had 30,692 npm downloads in a typical week.
Whichever you choose, give it the narrowest access that still works (a read-only credential, a replica, a scratch account), and widen it only once you have watched what your agent actually asks for.
Glama operates the MCP registry these numbers are measured from, and sells MCP hosting and a gateway. No position on this page is paid for. How the registry is built.
Quick picks
- 1Grafana : Operating a Grafana 9.0 or later instance with an MCP client: it supports dashboard and datasource inspection plus Prometheus, Loki, and InfluxDB querying.
- 2Loki Mode : Auditing coding-agent work: it turns a task into a verified pull request with a signed receipt, exposing MCP tools for task state and verification reports.
- 3Sentry MCP : Coding agents debugging Sentry issues: it exposes error details with stacktraces and file-specific error search.
- 4Radar : Debugging a live Kubernetes incident: diagnose, issues, get_changes and get_topology tools let an agent localize the failing workload and see what changed.
- 5Bifrost MCP Gateway : Centralizing MCP tool access for AI applications behind a single governed endpoint: Bifrost documents an MCP gateway with observability and explicit execution controls.
Which one, for your situation
| Your situation | What to use |
|---|---|
| You already run Grafana and need dashboards, datasources, and queries | Use Grafana: it supports dashboard and datasource inspection plus Prometheus, Loki, and InfluxDB querying, and it had 256 commits in the last 12 weeks. |
| You are triaging a live Datadog incident | Use mcp-server-datadog: it exposes 21 tools for incident, monitor, log, metric, trace, host, and RUM work, and it had 30,692 npm downloads in a typical week. |
| You are debugging a live Kubernetes incident | Use Radar: it exposes 25 tools with an A tool description grade, including diagnose, issues, get_changes, and get_topology tools, and it had 837 commits in the last 12 weeks. |
| You need PromQL against an existing Prometheus server | Use Prometheus MCP Server: it exposes 6 tools with an A tool description grade for instant and range PromQL queries plus metric and target inspection. |
| You want hosted SigNoz queries without local installation | Use SigNoz MCP Server: it is hosted, needs only the regional URL and authentication, and queries SigNoz Cloud metrics, traces, logs, alerts, and dashboards. |
| You need self-hosted Dynatrace Managed problem and SLO queries | Use Dynatrace Managed MCP Server: it exposes 18 tools with an A tool description grade for problems, logs, events, metrics, entities, security problems, and SLOs, and it had 174 commits in the last 12 weeks. |
Top MCP servers for Observability
| Profile | |||||||
|---|---|---|---|---|---|---|---|
| 1 | Community favourite | 3,643 | +107 | – | 2 days ago | 86.3 | |
| 2 | Community favourite | 1,118 | +31 | 3K | today | 84.3 | |
| 3 | Community favourite | 957 | +40 | – | today | 82.2 | |
| 4 | Community favourite | 4,043 | +350 | – | today | 74.2 | |
| 5 | Community favourite | 9,277 | +810 | – | 7 days ago | 73.0 | |
| 6 | Community favourite | 522 | +4 | – | 2 days ago | 72.4 | |
| 7 | Community favourite | 143 | 0 | 30.7K | 12 days ago | 62.6 | |
| 8 | Emerging | 134 | +13 | – | yesterday | 60.8 | |
| 9 | Abandoned but popular | 70 | +1 | 2.1K | 313 days ago | 60.4 | |
| 10 | Steady | 132 | +7 | – | today | 59.6 | |
| 11 | Community favourite | 33 | +1 | 711 | 9 days ago | 58.7 | |
| 12 | Steady | 171 | +6 | – | 86 days ago | 58.5 | |
| 13 | Steady | 63 | +1 | 144 | today | 58.4 | |
| 14 | Community favourite | 4,756 | +167 | 7.2K | today | 55.2 | |
| 15 | Community favourite | 12,131 | +49 | – | 16 days ago | 51.3 | |
| 16 | Community favourite | 12,154 | +423 | 1.5K | 4 days ago | 50.8 | |
| 17 | Community favourite | 13,452 | – | – | today | 48.9 | |
| 18 | Community favourite | 348 | +90 | – | 35 days ago | 47.1 | |
| 19 | Emerging | 213 | +30 | – | today | 46.9 | |
| 20 | Emerging | 247 | +23 | – | today | 46.3 |
The ranking, with the evidence
- 1grafana/mcp-grafana ↗
Grafana
Community favouriteBest for: Operating a Grafana 9.0 or later instance with an MCP client: it supports dashboard and datasource inspection plus Prometheus, Loki, and InfluxDB querying.
The README documents an MCP server for Grafana with dashboard search and retrieval, datasource listing and fetching, and Prometheus, Loki, and InfluxDB querying. Run panel query and query examples are disabled by default and require the --enabled-tools flag.
Score 86.3: show every number behind it
- Adoption89 / 100 · weight 40%
- GitHub stars89
- npm downloadsnot measuredno npm package
- Used through Glamanot measurednot used through Glama in the last 30 days
- Maintenance95 / 100 · weight 24%
- Last commit touching this server100
- Repository maintenance grade80
- Commit cadence100
- Momentum74 / 100 · weight 14%
- Stars gained, relative to size69
- Stars gained, absolute82
- npm download trendnot measuredno download history for the selected registry
- Tool quality≈65 / 100 · weight 13%
- Tool description quality≈65tool descriptions not yet scored
- Built and inspected by Glamanot measurednever built and inspected by Glama
- Trust100 / 100 · weight 9%
- License100
- Published by the vendor it integrates100
- Weighted mean of the five
- 86.3
- × relevance: the keyword is dedicated here
- 1.00
- × continuity: actively changing
- 1.00
- × evidence: widely adopted
- 1.00
- Composite score
- 86.3
- 2asklokesh/loki-mode ↗
Loki Mode
Community favouriteBest for: Auditing coding-agent work: it turns a task into a verified pull request with a signed receipt, exposing MCP tools for task state and verification reports.
Loki Mode documents an autonomous coding-agent CLI and an MCP server over stdio, with MCP tools for project state and task queues, memory retrieval and storage, code search, quality and verification reports, repository hotspots, and structured findings. Before choosing it, note that it requires a model provider, with Claude Code as the documented default.
Score 84.3: show every number behind it
- Adoption82 / 100 · weight 40%
- GitHub stars76
- npm downloads37downloads show none of the weekday rhythm human traffic has; halved
- Used through Glamanot measurednot used through Glama in the last 30 days
- Maintenance100 / 100 · weight 24%
- Last commit touching this server100
- Repository maintenance grade100
- Commit cadence100
- Momentum72 / 100 · weight 14%
- Stars gained, relative to size65
- Stars gained, absolute61
- npm download trend100
- Tool quality≈65 / 100 · weight 13%
- Tool description quality≈65tool descriptions not yet scored
- Built and inspected by Glamanot measurednever built and inspected by Glama
- Trust100 / 100 · weight 9%
- License100
- Published by the vendor it integratesnot measurednot published by the vendor it integrates
- Weighted mean of the five
- 84.3
- × relevance: the keyword is dedicated here
- 1.00
- × continuity: actively changing
- 1.00
- × evidence: widely adopted
- 1.00
- Composite score
- 84.3
- 3getsentry/toolkit ↗
Sentry MCP
Community favouriteBest for: Coding agents debugging Sentry issues: it exposes error details with stacktraces and file-specific error search.
The Sentry MCP server acts as remote middleware to the Sentry API and exposes tools for listing organizations, teams, and projects, retrieving error details, searching for errors in a file, and creating teams and projects. It is primarily designed for human-in-the-loop coding agents rather than as a general-purpose MCP server for all Sentry functionality.
Score 82.2: show every number behind it
- Adoption75 / 100 · weight 40%
- GitHub stars75
- npm downloadsnot measurednpm names no repository for sentry-mcp, so its downloads cannot be attributed
- Used through Glamanot measurednot used through Glama in the last 30 days
- Maintenance100 / 100 · weight 24%
- Last commit touching this server100
- Repository maintenance grade100
- Commit cadence100
- Momentum73 / 100 · weight 14%
- Stars gained, relative to size79
- Stars gained, absolute65
- npm download trendnot measuredno download history for the selected registry
- Tool quality71 / 100 · weight 13%
- Tool description quality63
- Built and inspected by Glama100
- Trust100 / 100 · weight 9%
- License100
- Published by the vendor it integrates100
- Weighted mean of the five
- 82.2
- × relevance: the keyword is dedicated here
- 1.00
- × continuity: actively changing
- 1.00
- × evidence: widely adopted
- 1.00
- Composite score
- 82.2
- 4skyhook-io/radar ↗
Radar
Community favouriteBest for: Debugging a live Kubernetes incident: diagnose, issues, get_changes and get_topology tools let an agent localize the failing workload and see what changed.
Radar exposes 25 MCP tools for Kubernetes observability and diagnostics, spanning a ranked issues queue, workload diagnosis, events, logs, topology, audit findings, change history, and remediation actions such as restarts, scaling, patches and manifest applies. Worth knowing before installing: the documented agent connection points at the read-only endpoint at localhost:9280/mcp-readonly, while the tool list also includes write actions like apply_resource, patch_resource and manage_workload, so the endpoint chosen determines what the agent can actually change.
Score 74.2: show every number behind it
- Adoption90 / 100 · weight 40%
- GitHub stars90
- npm downloadsnot measurednpm publishes radar from zendesk/radar
- Used through Glamanot measurednot used through Glama in the last 30 days
- Maintenance100 / 100 · weight 24%
- Last commit touching this server100
- Repository maintenance grade100
- Commit cadence100
- Momentum100 / 100 · weight 14%
- Stars gained, relative to size100
- Stars gained, absolute100
- npm download trendnot measuredno download history for the selected registry
- Tool quality93 / 100 · weight 13%
- Tool description quality85
- Built and inspected by Glama100
- Trust100 / 100 · weight 9%
- License100
- Published by the vendor it integratesnot measurednot published by the vendor it integrates
- Weighted mean of the five
- 95.1
- × relevance: the keyword is declared here
- 0.78
- × continuity: actively changing
- 1.00
- × evidence: widely adopted
- 1.00
- Composite score
- 74.2
- 5maximhq/bifrost ↗
Bifrost MCP Gateway
Community favouriteBest for: Centralizing MCP tool access for AI applications behind a single governed endpoint: Bifrost documents an MCP gateway with observability and explicit execution controls.
Bifrost documents an OpenAI-compatible LLM gateway and an MCP gateway that aggregates MCP tools behind a single endpoint with governance, observability, and explicit execution controls. Before installing, note that the README lists MCP gateway among enterprise deployment capabilities and the measurements attribute no npm or PyPI package, so confirm access and the installation route.
Score 73.0: show every number behind it
- Adoption99 / 100 · weight 40%
- GitHub stars99
- npm downloadsnot measuredno npm package
- Used through Glamanot measurednot used through Glama in the last 30 days
- Maintenance94 / 100 · weight 24%
- Last commit touching this server100GitHub could not be read at publication, so this is the date stored when the server was last synced -- a push to any ref, which can only overstate how recently the code changed
- Repository maintenance grade80
- Commit cadencenot measuredno snapshot history yet
- Momentum100 / 100 · weight 14%
- Stars gained, relative to size100
- Stars gained, absolute100
- npm download trendnot measuredno download history for the selected registry
- Tool quality≈65 / 100 · weight 13%
- Tool description quality≈65tool descriptions not yet scored
- Built and inspected by Glamanot measurednever built and inspected by Glama
- Trust100 / 100 · weight 9%
- License100
- Published by the vendor it integrates100
- Weighted mean of the five
- 93.6
- × relevance: the keyword is declared here
- 0.78
- × continuity: actively changing
- 1.00
- × evidence: widely adopted
- 1.00
- Composite score
- 73.0
- 6pab1it0/prometheus-mcp-server ↗
Prometheus MCP Server
Community favouriteBest for: Running PromQL analysis through an MCP-compatible AI assistant against an existing Prometheus server: it exposes instant and range query tools plus metric and target inspection.
Prometheus MCP Server provides MCP access to a Prometheus server, with tools for instant and range PromQL queries, metric listing and metadata, scrape targets, and a health check. It requires a Prometheus server reachable from the running environment and PROMETHEUS_URL to be configured.
Score 72.4: show every number behind it
- Adoption68 / 100 · weight 40%
- GitHub stars68
- npm downloadsnot measuredno npm package
- Used through Glamanot measurednot used through Glama in the last 30 days
- Maintenance92 / 100 · weight 24%
- Last commit touching this server100
- Repository maintenance grade80
- Commit cadence85
- Momentum31 / 100 · weight 14%
- Stars gained, relative to size32
- Stars gained, absolute29
- npm download trendnot measuredno download history for the selected registry
- Tool quality76 / 100 · weight 13%
- Tool description quality68
- Built and inspected by Glama100
- Trust100 / 100 · weight 9%
- License100
- Published by the vendor it integratesnot measurednot published by the vendor it integrates
- Weighted mean of the five
- 72.4
- × relevance: the keyword is dedicated here
- 1.00
- × continuity: actively changing
- 1.00
- × evidence: widely adopted
- 1.00
- Composite score
- 72.4
- 7winor30/mcp-server-datadog ↗
mcp-server-datadog
Community favouriteBest for: Triaging a live Datadog incident: it exposes incident, monitor, log, metric, trace, host and RUM tools alongside host muting and downtime scheduling.
The server wraps the Datadog API in 21 tools covering incidents, monitors, logs, dashboards, metrics, APM traces, hosts, downtimes and RUM events, with writes limited to muting hosts and scheduling or cancelling downtimes. It is community-maintained and not affiliated with, endorsed by, or supported by Datadog, so any support comes from the project rather than the vendor.
Score 62.6: show every number behind it
- Adoption87 / 100 · weight 40%
- GitHub stars54
- npm downloads79downloads capped: not corroborated by repository audience
- Used through Glamanot measurednot used through Glama in the last 30 days
- Maintenance77 / 100 · weight 24%
- Last commit touching this server100
- Repository maintenance grade55
- Commit cadence40
- Momentum25 / 100 · weight 14%
- Stars gained, relative to size0
- Stars gained, absolute0
- npm download trend100
- Tool quality61 / 100 · weight 13%
- Tool description quality53
- Built and inspected by Glama100
- Trust100 / 100 · weight 9%
- License100
- Published by the vendor it integratesnot measurednot published by the vendor it integrates
- Weighted mean of the five
- 73.6
- × relevance: the keyword is dedicated here
- 1.00
- × continuity: actively changing
- 1.00
- × evidence: modest but real audience
- 0.85
- Composite score
- 62.6
Best for: Triage against a live Prometheus instance: it exposes instant and range query tools plus target, rule and alert inspection, returning the API's JSON as-is.
Its README documents tools that mirror the Prometheus HTTP API (instant and range queries, label names and values, metric metadata, rules, targets, alerts, config, flags, build info) alongside documentation list, read and search tools over the prometheus/docs repository. It assumes a running Prometheus instance it can reach through that HTTP API, and since response truncation is disabled by default, output can be large unless a line or entry limit is set.
Score 60.8: show every number behind it
- Adoption53 / 100 · weight 40%
- GitHub stars53
- npm downloadsnot measuredno npm package
- Used through Glamanot measurednot used through Glama in the last 30 days
- Maintenance95 / 100 · weight 24%
- Last commit touching this server100
- Repository maintenance grade80
- Commit cadence100
- Momentum71 / 100 · weight 14%
- Stars gained, relative to size88
- Stars gained, absolute46
- npm download trendnot measuredno download history for the selected registry
- Tool quality≈65 / 100 · weight 13%
- Tool description quality≈65tool descriptions not yet scored
- Built and inspected by Glamanot measurednever built and inspected by Glama
- Trust100 / 100 · weight 9%
- License100
- Published by the vendor it integrates100
- Weighted mean of the five
- 71.5
- × relevance: the keyword is dedicated here
- 1.00
- × continuity: actively changing
- 1.00
- × evidence: modest but real audience
- 0.85
- Composite score
- 60.8
- 9GeLi2001/datadog-mcp-server ↗
datadog mcp
Abandoned but popularBest for: Debugging a production issue in Datadog logs: it exposes search-logs and aggregate-logs for filtering and analytical queries.
The server exposes 10 tools for querying Datadog monitors, dashboards, metrics, metric metadata, events, incidents, and logs, with log search and aggregation. Before choosing it, note that it requires Datadog API and application keys, and the README documents scoped application key permissions for read-only access.
Score 60.4: show every number behind it
- Adoption78 / 100 · weight 40%
- GitHub stars46
- npm downloads71
- Used through Glamanot measurednot used through Glama in the last 30 days
- Maintenance25 / 100 · weight 24%
- Last commit touching this server42
- Repository maintenance grade5
- Commit cadence5
- Momentum34 / 100 · weight 14%
- Stars gained, relative to size33
- Stars gained, absolute16
- npm download trend57
- Tool quality73 / 100 · weight 13%
- Tool description quality65
- Built and inspected by Glama100
- Trust100 / 100 · weight 9%
- License100
- Published by the vendor it integratesnot measurednot published by the vendor it integrates
- Weighted mean of the five
- 60.4
- × relevance: the keyword is dedicated here
- 1.00
- × continuity: actively changing
- 1.00
- × evidence: widely adopted
- 1.00
- Composite score
- 60.4
Best for: Querying SigNoz Cloud metrics, traces, logs, alerts, and dashboards from an AI assistant: hosted MCP server needs no installation, just the regional URL and authentication.
SigNoz MCP Server gives AI assistants access to SigNoz observability data for metrics, traces, logs, alerts, dashboards, and services, and its README documents a hosted Cloud MCP endpoint plus client setup and self-hosted installation paths. For SigNoz Cloud, the hosted URL must match the account region, and authentication requires the SigNoz instance URL plus an API key that only Admin users can create.
Score 59.6: show every number behind it
- Adoption53 / 100 · weight 40%
- GitHub stars53
- npm downloadsnot measuredno npm package
- Used through Glamanot measurednot used through Glama in the last 30 days
- Maintenance100 / 100 · weight 24%
- Last commit touching this server100
- Repository maintenance grade100
- Commit cadence100
- Momentum53 / 100 · weight 14%
- Stars gained, relative to size64
- Stars gained, absolute36
- npm download trendnot measuredno download history for the selected registry
- Tool quality≈65 / 100 · weight 13%
- Tool description quality≈65tool descriptions not yet scored
- Built and inspected by Glamanot measurednever built and inspected by Glama
- Trust100 / 100 · weight 9%
- License100
- Published by the vendor it integrates100
- Weighted mean of the five
- 70.1
- × relevance: the keyword is dedicated here
- 1.00
- × continuity: actively changing
- 1.00
- × evidence: modest but real audience
- 0.85
- Composite score
- 59.6
- 11dynatrace-oss/dynatrace-managed-mcp ↗
Dynatrace Managed MCP Server
Community favouriteBest for: Self-hosted Dynatrace Managed observability queries: it exposes 18 tools for problems, logs, events, metrics, entities, security problems, and SLOs.
The Dynatrace Managed MCP Server lets AI assistants query self-hosted Dynatrace Managed environments through 18 tools covering metrics, logs, events, entities, problems, security problems, and SLOs, with local stdio and remote HTTP/SSE modes. Before installing it, the user must supply a Dynatrace Managed API token and a dt-config.yaml or dt-config.json file, referenced by DT_CONFIG_FILE, that lists the environments.
Score 58.7: show every number behind it
- Adoption66 / 100 · weight 40%
- GitHub stars38
- npm downloads61
- Used through Glamanot measurednot used through Glama in the last 30 days
- Maintenance100 / 100 · weight 24%
- Last commit touching this server100
- Repository maintenance grade100
- Commit cadence100
- Momentum44 / 100 · weight 14%
- Stars gained, relative to size34
- Stars gained, absolute14
- npm download trend100
- Tool quality73 / 100 · weight 13%
- Tool description quality65
- Built and inspected by Glama100
- Trust100 / 100 · weight 9%
- License100
- Published by the vendor it integrates100
- Weighted mean of the five
- 75.3
- × relevance: the keyword is declared here
- 0.78
- × continuity: actively changing
- 1.00
- × evidence: widely adopted
- 1.00
- Composite score
- 58.7
Best for: Querying Alibaba Cloud SLS logs and ARMS traces from an AI assistant: it exposes log search, natural-language-to-query translation, and trace query generation tools.
It exposes nine tools that list SLS projects and logstores, describe logstore structure, execute and diagnose SLS queries, translate natural language into SLS queries, and search ARMS applications with generated trace queries. Choosing it means supplying Alibaba Cloud AccessKey credentials through environment variables, and its README notes that certain AI tools (natural language to SQL or SPL, natural language data query) are billed per call as STAROps.
Score 58.5: show every number behind it
- Adoption56 / 100 · weight 40%
- GitHub stars56
- npm downloadsnot measuredno npm package
- Used through Glamanot measurednot used through Glama in the last 30 days
- Maintenance70 / 100 · weight 24%
- Last commit touching this server88
- Repository maintenance grade55
- Commit cadence40
- Momentum46 / 100 · weight 14%
- Stars gained, relative to size55
- Stars gained, absolute33
- npm download trendnot measuredno download history for the selected registry
- Tool quality88 / 100 · weight 13%
- Tool description quality80
- Built and inspected by Glama100
- Trust15 / 100 · weight 9%
- License0
- Published by the vendor it integrates100
- Weighted mean of the five
- 58.5
- × relevance: the keyword is dedicated here
- 1.00
- × continuity: actively changing
- 1.00
- × evidence: widely adopted
- 1.00
- Composite score
- 58.5
Best for: Teams using Last9 who want an AI assistant to read production logs, metrics, traces, exceptions, queries, alerts, and deployments via hosted HTTP MCP with OAuth.
It documents a hosted HTTP MCP endpoint authenticated with OAuth and a self-hosted STDIO mode configured with a Last9 refresh token, connecting MCP-capable assistants to Last9 logs, metrics, traces, exceptions, queries, alerts, and deployments. Before choosing the self-hosted route, note that it requires a Last9 refresh token, and only admins can create tokens.
Score 58.4: show every number behind it
- Adoption53 / 100 · weight 40%
- GitHub stars45
- npm downloads46
- Used through Glamanot measurednot used through Glama in the last 30 days
- Maintenance100 / 100 · weight 24%
- Last commit touching this server100
- Repository maintenance grade100
- Commit cadence100
- Momentum44 / 100 · weight 14%
- Stars gained, relative to size32
- Stars gained, absolute15
- npm download trend100
- Tool quality≈65 / 100 · weight 13%
- Tool description quality≈65tool descriptions not yet scored
- Built and inspected by Glamanot measurednever built and inspected by Glama
- Trust100 / 100 · weight 9%
- License100
- Published by the vendor it integrates100
- Weighted mean of the five
- 68.7
- × relevance: the keyword is dedicated here
- 1.00
- × continuity: actively changing
- 1.00
- × evidence: modest but real audience
- 0.85
- Composite score
- 58.4
- 14IBM/mcp-context-forge ↗
ContextForge MCP Gateway
Community favouriteBest for: Unifying MCP servers, REST/gRPC APIs, and A2A agents behind one governed endpoint: it federates these services and exports OpenTelemetry traces.
ContextForge runs as a registry and proxy that federates MCP servers, A2A agents, and REST/gRPC APIs into one MCP endpoint, with an admin UI and OpenTelemetry tracing to OTLP backends. It assumes a separate deployment via PyPI or Docker and an external OTLP backend such as Phoenix, Jaeger, or Zipkin for its traces.
Score 55.2: show every number behind it
- Adoption98 / 100 · weight 40%
- GitHub stars92
- PyPI downloads41PyPI downloads show no weekday rhythm; halved
- Used through Glamanot measurednot used through Glama in the last 30 days
- Maintenance100 / 100 · weight 24%
- Last commit touching this server100
- Repository maintenance grade100
- Commit cadence100
- Momentum81 / 100 · weight 14%
- Stars gained, relative to size76
- Stars gained, absolute90
- PyPI download trend77
- Tool quality≈65 / 100 · weight 13%
- Tool description quality≈65tool descriptions not yet scored
- Built and inspected by Glamanot measurednever built and inspected by Glama
- Trust100 / 100 · weight 9%
- License100
- Published by the vendor it integrates100
- Weighted mean of the five
- 92.0
- × relevance: the keyword is tagged here
- 0.60
- × continuity: actively changing
- 1.00
- × evidence: widely adopted
- 1.00
- Composite score
- 55.2
- 15kubeshark/kubeshark ↗
kubeshark
Community favouriteBest for: Cluster-wide network incident response: it documents an MCP interface for querying traffic, API calls, and Kubernetes context, with decrypted TLS.
Kubeshark documents an MCP interface, installed through the kubeshark CLI, that lets AI agents query cluster-wide network traffic, investigate API calls, and use Kubernetes context, including decrypted TLS. It requires Kubeshark to be installed in a Kubernetes cluster and an MCP-compatible AI client to connect, and its exposed tool list was not inspected.
Score 51.3: show every number behind it
- Adoption100 / 100 · weight 40%
- GitHub stars100
- npm downloadsnot measuredno npm package
- Used through Glamanot measurednot used through Glama in the last 30 days
- Maintenance92 / 100 · weight 24%
- Last commit touching this server100
- Repository maintenance grade80
- Commit cadence85
- Momentum43 / 100 · weight 14%
- Stars gained, relative to size26
- Stars gained, absolute68
- npm download trendnot measuredno download history for the selected registry
- Tool quality≈65 / 100 · weight 13%
- Tool description quality≈65tool descriptions not yet scored
- Built and inspected by Glamanot measurednever built and inspected by Glama
- Trust100 / 100 · weight 9%
- License100
- Published by the vendor it integrates100
- Weighted mean of the five
- 85.5
- × relevance: the keyword is tagged here
- 0.60
- × continuity: actively changing
- 1.00
- × evidence: widely adopted
- 1.00
- Composite score
- 51.3
- 16Arize-ai/phoenix ↗
@arizeai/phoenix-mcp
Community favouriteBest for: Teams already running Arize Phoenix: it exposes tools for traces, spans, sessions, prompts, datasets and experiments against that platform.
The server wraps the Arize Phoenix platform in 27 tools spanning prompt creation, versioning and tagging, project, trace, span and session retrieval, annotation configs, datasets and experiments. It assumes a reachable Phoenix instance plus an API key, supplied through the --baseUrl and --apiKey flags or the PHOENIX_ENDPOINT and PHOENIX_API_KEY environment variables, and it does not cover Phoenix documentation search, which a separate docs server handles.
Score 50.8: show every number behind it
- Adoption82 / 100 · weight 40%
- GitHub stars100stars belong to Arize-ai/phoenix, which this server is the js/packages/phoenix-mcp directory of
- npm downloads67
- Used through Glamanot measurednot used through Glama in the last 30 days
- Maintenance100 / 100 · weight 24%
- Last commit touching this server100
- Repository maintenance grade100
- Commit cadence100
- Momentum75 / 100 · weight 14%
- Stars gained, relative to size77
- Stars gained, absolute100
- npm download trend42
- Tool quality63 / 100 · weight 13%
- Tool description quality55
- Built and inspected by Glama100
- Trust100 / 100 · weight 9%
- License100
- Published by the vendor it integrates100
- Weighted mean of the five
- 84.7
- × relevance: the keyword is tagged here
- 0.60
- × continuity: actively changing
- 1.00
- × evidence: widely adopted
- 1.00
- Composite score
- 50.8
- 17ccfos/nightingale ↗
Nightingale (n9e) Built-in MCP Server
Community favouriteBest for: Teams already self-hosting Nightingale that need MCP access to alerts, rules, metrics, logs, hosts, and dashboards using existing permissions.
The server provides a native Streamable HTTP MCP endpoint at /mcp for querying alerts, rules, metrics, logs, hosts, and dashboards with the caller's existing permissions. Before choosing it, note that users must deploy the Nightingale server themselves, and its exposed tool list is unknown.
Score 48.9: show every number behind it
- Adoption100 / 100 · weight 40%
- GitHub stars100
- npm downloadsnot measuredno npm package
- Used through Glamanot measurednot used through Glama in the last 30 days
- Maintenance100 / 100 · weight 24%
- Last commit touching this server100
- Repository maintenance grade100
- Commit cadence100
- Momentum≈0 / 100 · weight 14%
- Stars gained, relative to sizenot measuredno snapshot history yet
- Stars gained, absolutenot measuredno snapshot history yet
- npm download trendnot measuredno download history for the selected registry
- Tool quality≈65 / 100 · weight 13%
- Tool description quality≈65tool descriptions not yet scored
- Built and inspected by Glamanot measurednever built and inspected by Glama
- Trust100 / 100 · weight 9%
- License100
- Published by the vendor it integrates100
- Weighted mean of the five
- 81.5
- × relevance: the keyword is tagged here
- 0.60
- × continuity: actively changing
- 1.00
- × evidence: widely adopted
- 1.00
- Composite score
- 48.9
- 18Continuum-AI-Corp/OrcaReplay ↗
Continuum-AI-Corp/OrcaReplay
Community favouriteBest for: Containerized inspection of existing Orca recordings: it serves runs already on disk through MCP when the .orca directory is mounted, and it does not record.
OrcaReplay provides the read side for MCP clients, serving runs that already exist on disk from a mounted .orca directory. It ships only the MCP server, not the recorder, so recording a process must happen on the host because the host-wrapping mechanisms do not survive a container boundary.
Score 47.1: show every number behind it
- Adoption64 / 100 · weight 40%
- GitHub stars64
- npm downloadsnot measuredno npm package
- Used through Glamanot measurednot used through Glama in the last 30 days
- Maintenance95 / 100 · weight 24%
- Last commit touching this server100
- Repository maintenance grade80
- Commit cadence100
- Momentum92 / 100 · weight 14%
- Stars gained, relative to size100
- Stars gained, absolute79
- npm download trendnot measuredno download history for the selected registry
- Tool quality≈65 / 100 · weight 13%
- Tool description quality≈65tool descriptions not yet scored
- Built and inspected by Glamanot measurednever built and inspected by Glama
- Trust100 / 100 · weight 9%
- License100
- Published by the vendor it integrates100
- Weighted mean of the five
- 78.5
- × relevance: the keyword is tagged here
- 0.60
- × continuity: actively changing
- 1.00
- × evidence: widely adopted
- 1.00
- Composite score
- 47.1
- 19api7/aisix ↗
AISIX AI Gateway
EmergingBest for: Governing upstream MCP servers behind one self-hosted endpoint: it provides per-tool API-key access control, guardrails, rate limits, and usage logs.
AISIX AI Gateway is a self-hosted gateway that registers upstream MCP servers behind one Streamable HTTP endpoint and exposes one tool, echo__echo, which echoes the input text. Choosing it requires self-hosting and configuring the gateway through resources.yaml or etcd.
Score 46.9: show every number behind it
- Adoption58 / 100 · weight 40%
- GitHub stars58
- npm downloadsnot measuredno npm package
- Used through Glamanot measurednot used through Glama in the last 30 days
- Maintenance100 / 100 · weight 24%
- Last commit touching this server100
- Repository maintenance grade100
- Commit cadence100
- Momentum84 / 100 · weight 14%
- Stars gained, relative to size100
- Stars gained, absolute60
- npm download trendnot measuredno download history for the selected registry
- Tool quality78 / 100 · weight 13%
- Tool description quality70
- Built and inspected by Glama100
- Trust100 / 100 · weight 9%
- License100
- Published by the vendor it integrates100
- Weighted mean of the five
- 78.2
- × relevance: the keyword is tagged here
- 0.60
- × continuity: actively changing
- 1.00
- × evidence: widely adopted
- 1.00
- Composite score
- 46.9
Best for: Teams already running Zabbix that need an AI assistant to inspect hosts, problems, history, trends, and dashboards: it exposes Zabbix API tools over MCP.
Zabbix MCP Server exposes 86 tools for Zabbix API access, including retrieval of hosts, problems, history, trends, dashboards, templates, SLAs, and reports, and its README documents Streamable HTTP, SSE, and stdio transports plus an admin portal. It is not published as an npm package, so installation follows the repository's service or Docker setup rather than an npm add.
Score 46.3: show every number behind it
- Adoption60 / 100 · weight 40%
- GitHub stars60
- npm downloadsnot measuredno npm package
- Used through Glamanot measurednot used through Glama in the last 30 days
- Maintenance100 / 100 · weight 24%
- Last commit touching this server100
- Repository maintenance grade100
- Commit cadence100
- Momentum82 / 100 · weight 14%
- Stars gained, relative to size99
- Stars gained, absolute55
- npm download trendnot measuredno download history for the selected registry
- Tool quality68 / 100 · weight 13%
- Tool description quality60
- Built and inspected by Glama100
- Trust100 / 100 · weight 9%
- License100
- Published by the vendor it integratesnot measurednot published by the vendor it integrates
- Weighted mean of the five
- 77.2
- × relevance: the keyword is tagged here
- 0.60
- × continuity: actively changing
- 1.00
- × evidence: widely adopted
- 1.00
- Composite score
- 46.3
Questions people ask
How do I choose between Grafana and Prometheus MCP Server?
Grafana supports dashboard and datasource inspection plus Prometheus, Loki, and InfluxDB querying, and it had 3,643 GitHub stars and 256 commits in the last 12 weeks. Prometheus MCP Server is focused: it exposes 6 tools with an A tool description grade for instant and range PromQL queries plus metric and target inspection. Choose Grafana when you need Grafana dashboard and datasource work; choose Prometheus MCP Server when you only need PromQL against an existing Prometheus server.
What does mcp-server-datadog cover for incident triage?
mcp-server-datadog exposes 21 tools for incidents, monitors, logs, metrics, traces, hosts, and RUM, plus host muting and downtime scheduling. It had 30,692 npm downloads in a typical week and a B tool description grade. It had 1 commit in the last 12 weeks, so check that its coverage matches the Datadog APIs you use.
What do I need before using SigNoz MCP Server?
SigNoz MCP Server is hosted and needs a regional URL and authentication before use. It queries SigNoz Cloud metrics, traces, logs, alerts, and dashboards from an AI assistant. It had a commit 0 days ago.
What should I be careful about when pointing an agent at Radar?
Radar exposes 25 tools with an A tool description grade for cluster health, workload diagnosis, logs, events, topology, audit findings, and remediation actions. Because it includes remediation actions, scope the agent's Kubernetes permissions before use. It had a commit 0 days ago and 837 commits in the last 12 weeks.
How do I choose between mcp-server-datadog and datadog mcp?
mcp-server-datadog exposes 21 tools with a B tool description grade, had a commit 12 days ago, and had 30,692 npm downloads in a typical week. datadog mcp exposes 10 tools with an A tool description grade but had a commit 313 days ago and 0 commits in the last 12 weeks. For a live Datadog incident, mcp-server-datadog covers incident, monitor, log, metric, trace, host, and RUM tools; datadog mcp focuses on search-logs and aggregate-logs for Datadog log queries.
When should I choose ContextForge MCP Gateway over Grafana?
ContextForge MCP Gateway unifies MCP servers, REST/gRPC APIs, and A2A agents behind one governed endpoint and exports OpenTelemetry traces. Grafana is for operating a Grafana instance with dashboard and datasource inspection plus Prometheus, Loki, and InfluxDB querying. ContextForge had 4,756 GitHub stars, 167 stars gained in 30 days, and 7,235 PyPI downloads in a typical week; Grafana had 3,643 GitHub stars and 107 stars gained in 30 days. Choose ContextForge when the job is governing several service types behind one endpoint, and choose Grafana when the job is Grafana dashboards and datasources.
Other comparisons
- Best Figma MCP servers
- Best Obsidian MCP servers
- Best YouTube MCP servers
- Best Jira MCP servers
- Best PostgreSQL MCP servers
- Best MySQL MCP servers
- Best GitHub MCP servers
- Best Notion MCP servers
- Best Linear MCP servers
- Best Discord MCP servers
- Best MongoDB MCP servers
- Best CRM MCP servers
- Best Payments MCP servers
- Best Ecommerce MCP servers
- Best Social Media MCP servers
- Best Browser Automation MCP servers
- Best Email MCP servers
- Best PDF MCP servers
- Best Kubernetes MCP servers
- Best Docker MCP servers
- Best AWS MCP servers
- Best Spreadsheets MCP servers
- Best SEO MCP servers
- Best Web Search MCP servers
- Best Web Scraping MCP servers
- Best Vector Database MCP servers
- Best Code Execution MCP servers
- Best Calendar MCP servers
- Best Image Generation MCP servers
- Best Speech & Transcription MCP servers
- Best Maps MCP servers
- Best Travel MCP servers
- Best Stock Market MCP servers
- Best Web Analytics MCP servers
- Best Memory MCP servers
- Best Documentation MCP servers
- Best Security MCP servers