Install payload
Install payload is broadly covered in current results.
75% (9/12)
Source-backed filter active — add entries to compare trust side by side.
Trust signals across 40 of 45 results
2 trust signals differ in this sample: Source provenance, Submitter
Signals differ on Source provenance, Submitter — add entries to compare before you install.
Rollout signal scan
Biggest gaps: metadata review, package integrity. 0 entries have 2+ required gaps.
Install payload
Install payload is broadly covered in current results.
75% (9/12)
Adoption queue
13/45 visible results are in hold tier and need mitigation before adoption.
1 blockers: Metadata review
50/100
Request metadata review from maintainers or internal owners.
Collect package checksum or signed artifact information.
agents/agent-observability-sre-agent · trust review · confidence 67%
1 blockers: Metadata review
50/100
Request metadata review from maintainers or internal owners.
Collect package checksum or signed artifact information.
mcp/agentgateway-mcp-gateway · trust review · confidence 67%
1 blockers: Metadata review
50/100
Request metadata review from maintainers or internal owners.
Collect package checksum or signed artifact information.
mcp/anomalyarmor-mcp-server · trust review · confidence 67%
1 blockers: Metadata review
50/100
Request metadata review from maintainers or internal owners.
Collect package checksum or signed artifact information.
mcp/archestra-mcp-platform · trust review · confidence 67%
1 blockers: Metadata review
50/100
Request metadata review from maintainers or internal owners.
Collect package checksum or signed artifact information.
mcp/arize-phoenix-mcp-server · trust review · confidence 67%
1 blockers: Metadata review
50/100
Request metadata review from maintainers or internal owners.
Collect package checksum or signed artifact information.
mcp/aws-cloudwatch-mcp-server · trust review · confidence 67%
1 blockers: Metadata review
50/100
Request metadata review from maintainers or internal owners.
Collect package checksum or signed artifact information.
mcp/aws-serverless-mcp-server · trust review · confidence 67%
1 blockers: Metadata review
50/100
Request metadata review from maintainers or internal owners.
Collect package checksum or signed artifact information.
mcp/axiom-mcp-server · trust review · confidence 67%
Decision confidence
13/45 results are low-confidence and need review before adoption.
Address Metadata review, Package integrity before broader rollout.
54/100
agents/agent-observability-sre-agent · trust review
Address Metadata review, Package integrity before broader rollout.
54/100
mcp/agentgateway-mcp-gateway · trust review
Address Metadata review, Package integrity before broader rollout.
54/100
mcp/anomalyarmor-mcp-server · trust review
Address Metadata review, Package integrity before broader rollout.
54/100
mcp/archestra-mcp-platform · trust review
Address Metadata review, Package integrity before broader rollout.
54/100
mcp/arize-phoenix-mcp-server · trust review
Address Metadata review, Package integrity before broader rollout.
54/100
mcp/aws-cloudwatch-mcp-server · trust review
Address Metadata review, Package integrity before broader rollout.
54/100
mcp/aws-serverless-mcp-server · trust review
Address Metadata review, Package integrity before broader rollout.
54/100
mcp/axiom-mcp-server · trust review
Freshness distribution
Median age 40 days; all 12 scanned entries are within 90 days.
Theme distribution
79% of this view shares the top theme. Leading themes: observability, mcp, tracing.
86 distinct themes across 24 scanned
Open-source observability platform purpose-built for AI agents, with OpenTelemetry-native tracing, plain-English signals, an evals SDK and CLI, SQL dashboards, dataset annotation, and MCP/CLI access, self-hostable with Apache-2.0 SDKs for Python and TypeScript.
Open-source AI gateway from Portkey for routing to 1600+ LLMs through one OpenAI-compatible API, with automatic retries, fallbacks, load balancing, conditional routing, guardrails, caching, and observability, self-hostable via npx, Docker, or edge deployments.
Official AWS Labs MCP server for serverless development that gives AI assistants contextual guidance plus tools to initialize, build, deploy, and troubleshoot AWS SAM and Lambda-based serverless applications.
Production-ready LLM app and agentic workflow platform with visual workflows, RAG pipelines, agent capabilities, model management, observability, prompt IDE, APIs, Dify Cloud, and self-hosted Docker Compose deployment.
Microsoft framework for building, orchestrating, and deploying production AI agents and multi-agent workflows across Python and .NET, with workflows, middleware, OpenTelemetry, Foundry hosting, A2A, MCP, and Semantic Kernel migration support.
Open-source Python and TypeScript SDK for building model-driven AI agents with any model provider, MCP tools, streaming, multi-agent patterns, structured output, observability, hooks, guardrails, and production deployment guidance.
Open-source TypeScript agent engineering framework and platform for building AI agents with tools, memory, workflows, RAG, guardrails, evals, MCP, voice, and VoltOps observability.
Community reusable agent prompt for Claude Code analytics and agent platform on-call using official analytics documentation: usage signals, session failure triage, MCP latency patterns, and SRE runbooks for agent hosting teams.
Expert capability pack for Agent SDK OpenTelemetry export using CLAUDE_CODE_ENABLE_TELEMETRY, OTLP exporters, and monitoring-usage reference variables documented for Claude Code CLI subprocesses.
AGPL-licensed MCP-native platform with a private MCP registry, MCP gateway, Kubernetes MCP orchestrator, access control, credential resolution, observability, and deterministic tool guardrails for shared AI deployments.
Open source MCP server and tool framework from Google for connecting AI agents, IDEs, and applications to databases through prebuilt or custom database tools.
Apache-2.0 data orchestration platform for building, testing, deploying, observing, and automating data assets, jobs, schedules, sensors, and pipelines.
Open-source LLMOps platform for prompt management, prompt versioning, evaluation, and observability across LLM applications.
Open-source observability platform and SDK for tracing, debugging, replaying, and cost-monitoring AI agent and LLM application runs.
Open-source LLM observability platform for logging, metrics, cost tracking, feedback, and gateway workflows.
Open-source observability and evaluation tooling for LLM applications, traces, datasets, and experiments.
The official InfluxData MCP server for InfluxDB 3 (Core, Enterprise, Cloud Dedicated, Clustered, and Cloud Serverless). It lets LLMs run SQL queries, write line-protocol data, inspect databases and measurement schemas, manage databases and tokens, and check cluster health over the Model Context Protocol.
The official OpenSearch Project MCP server (opensearch-mcp-server-py) that lets AI assistants query and operate OpenSearch clusters — listing indices, reading mappings, running Query DSL and PPL searches, inspecting shards and cluster health — over stdio or streaming transports, with basic-auth, AWS IAM, and header-based authentication.
Official AWS Labs MCP server that gives troubleshooting agents task-oriented access to Amazon CloudWatch metrics, alarms, logs, and PromQL queries for AI-assisted root-cause analysis and remediation recommendations.
Query observability data, manage dashboards, and monitor your systems from Claude — run APL queries against datasets, list metrics, inspect monitors, and retrieve saved queries — with the official Axiom remote MCP server.
Connect Claude to Dynatrace observability data — run DQL queries, investigate problems and vulnerabilities, analyze Kubernetes events, forecast timeseries, and resolve entity names — with the official Dynatrace open-source MCP server.
Connect Claude to LangSmith — retrieve conversation threads and traces, fetch and push prompts, browse evaluation datasets and experiments, and access billing usage — with the official LangSmith Model Context Protocol server from LangChain.
Analyze distributed traces and LLM observability data from Claude — search traces and spans, find errors, list services, analyze LLM token usage, identify slow LLM operations, and discover AI model usage patterns — with the OpenTelemetry MCP server supporting Jaeger, Grafana Tempo, and Traceloop backends.
Connect Claude to your Elasticsearch cluster — search indices, inspect mappings, run ES|QL, and check shard health — with Elastic's official Model Context Protocol server.
Connect Claude to Weights & Biases — query runs, metrics, and experiments, analyze Weave traces, inspect registries and artifacts, and create reports — with the official W&B MCP server.
Community reusable agent prompt for analyzing OpenTelemetry traces from agent hosts using official trace signal documentation: span hierarchy review, latency attribution, error propagation, and privacy-safe instrumentation recommendations.
Expert incident timeline reconstruction capability pack for correlating deploy events, logs, traces, alerts, and chat transcripts into a source-backed, privacy-safe post-incident timeline with validation checkpoints.
Official CircleCI MCP server that lets LLMs query build and test failures, detect flaky tests, check pipeline status, fetch build logs, and validate config in CircleCI through natural language.
Apache-2.0 agentic proxy that can expose stdio, HTTP, SSE, and Streamable HTTP MCP servers through a managed gateway with federation, OAuth/JWT authentication, RBAC/CEL policy, CORS, TLS, observability, and Kubernetes Gateway API support.
Open-source MCP gateway, registry, and proxy from IBM that federates MCP servers, A2A agents, REST APIs, and gRPC services behind centralized discovery, governance, authentication, observability, and admin controls.