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650,522 tools. Updated 2026-10-14 02:52

"OpenTelemetry" matching MCP tools:

  • Search the official @imqueue docs (guides, tutorial, CLI manual, articles) and every exported symbol of every @imqueue package that publishes a generated API reference, returning the most relevant pages with their URLs. Each result names the package it belongs to. Takes a plain question or an exact symbol name such as 'RedisQueue.send', 'PgPubSub.listen' or 'watcherCheckDelay'. Answers 'how do I do X in @imqueue' and confirms a signature before code is written against it. Every result carries the page URL, which get_doc reads in full. Some capabilities are covered by two mutually exclusive packages — @imqueue/pg-prisma vs @imqueue/pg-sequelize, @imqueue/opentelemetry vs @imqueue/datadog — so for a query like 'tracing' or 'database', call list_packages for the choosing rule rather than taking whichever package ranks first, and pass `package` here to search within the one you settled on.
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  • The complete, authoritative catalogue of documented @imqueue packages, each with its current version, licence, minimum Node version, a one-line summary and its exact install command. Call this BEFORE adding any @imqueue dependency: search_docs can only find a package you already suspect exists, and this is the list. Covers typed RPC over a message queue, the Redis queue engine, the `imq` CLI, jobs and scheduling, Prisma and Sequelize database toolkits, method caching, tag-invalidated caching, PostgreSQL LISTEN/NOTIFY, Zod validation, OpenTelemetry or Datadog tracing, async logging, GraphQL N+1 batching across services, CIDR/IP checks and HTTP rate limiting. Some pairs are mutually exclusive — pg-prisma vs pg-sequelize, opentelemetry vs datadog — and installing both of a pair breaks silently, so read the `pick` rule on those entries before choosing. For one package's release history, links and the framework-wide Node and Redis requirements, use package_status.
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  • Convert an OpenTelemetry OTLP JSON trace into a FaultKey incident and return the same deterministic CausalCertificate as submit_incident. Each span becomes an event; service.name groups spans into agents; W3C trace_id and span_id propagate as evidence pointers on the causal graph edges. Cost: 50 credits (same as submit_incident). Three guardrails apply: PII scan, deterministic-only acknowledgement, and minimum evidence (auto-satisfied when the trace has at least 1 span).
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  • Convert an OpenTelemetry OTLP JSON trace into a FaultKey incident and return the same deterministic CausalCertificate as submit_incident. Each span becomes an event; service.name groups spans into agents; W3C trace_id and span_id propagate as evidence pointers on the causal graph edges. Cost: 50 credits (same as submit_incident). Three guardrails apply: PII scan, deterministic-only acknowledgement, and minimum evidence (auto-satisfied when the trace has at least 1 span).
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  • Executes every step of a named chain (list names with find_chain / build_workflow_links) and returns ONE composite artifact whose execution_hash anchors all step outputs. compute:"server"/"auto" (default) runs each kernel-backed step server-side, threading step N's execution_hash into step N+1's parent_hashes; compute:"browser" returns a zero-egress delegation bundle (composer URL + ordered deep-links) to run client-side instead — no data leaves the agent. Supply inputs as a map of step tool_id -> policy_parameters (field names per node manifest / build_chaingraph); a step whose kernel needs inputs you omit is reported per-step (status "input_required"), never failed silently. Steps that are browser-only (gpu:true or no registered kernel) are listed for browser delegation. Deterministic, zero PII, zero payload logging. Verify the result with verify_execution_hash. Runs with anything to explain carry decision_trail: per-step reason codes (gate rule id, escalation rule id, input_required cause), hash-excluded adjacent metadata recomputable from the hash-bound decisions[]. Each server-mode run also returns an OpenTelemetry GenAI span document as a resource link (one execute_tool span per executed step under an invoke_agent parent). Response includes a ledger_url fragment link for human verification at ledger.ainumbers.co. Server-mode responses also echo a stable `dedupe` object — `dedupe.input_hash` (JCS-SHA-256 over the effective run inputs: chain, per-step inputs after the caller/fixture fallback, and mandate_hash when a mandate governs) beside `dedupe.composite_execution_hash` — so a client can recognize and skip an exact re-run (idempotentHint) without recomputing anything. See docs/IDEMPOTENCY.md.
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  • Apps sending their agent's traces to Caliper — from their own code, OpenTelemetry, or a published Workbench flow — busiest first: name, how it sends, traces in the last 14 days (per day), and the tools its agent calls most with the share of traces using each. Start here when the user asks how their agent behaves on real traffic; then caliper_sources_over_time for one source.
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Matching MCP Servers

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    Enables AI agents to query Prometheus metrics and Loki logs for intelligent alert investigation and troubleshooting. Provides service discovery, metric querying, log searching, and correlation tools to help identify root causes of issues.
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Matching MCP Connectors

  • Apps sending their agent's traces to Caliper — from their own code, OpenTelemetry, or a published Workbench flow — busiest first: name, how it sends, traces in the last 14 days (per day), and the tools its agent calls most with the share of traces using each. Start here when the user asks how their agent behaves on real traffic; then caliper_sources_over_time for one source.
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  • Exports that push sandbox events (OTLP logs) and CPU and memory (OTLP metrics) to an OpenTelemetry endpoint over OTLP/HTTP JSON. create takes endpoint, the OTLP base URL, headers for its authentication and signals (both by default); flush pushes now. Header values are never shown back.
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