"Understanding Gaode Map MCP" matching MCP tools:

• setup_instructions

  Coal — Payments for AI agents

  Print step-by-step instructions for using Coal MCP from Claude / Cursor / any MCP client. Run this FIRST if you are unsure how to authenticate or which credentials to provide.

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• map_business_process

  ALM X++ MCP Server

  WHEN: mapping the technical D365 objects behind a business process, or understanding which tables/forms implement a flow. Triggers: 'processus métier', 'Order-to-Cash', 'Procure-to-Pay', 'Record-to-Report', 'business process flow', 'qui est impliqué dans', 'map the process', 'flux du processus', 'quels objets dans le flux'. Map a D365 F&O business process to its complete object chain. For known processes (Order-to-Cash, Procure-to-Pay, Record-to-Report, Plan-to-Produce, Inventory-Management, Hire-to-Retire, Project-Accounting, Asset-Lifecycle): shows every step with forms, tables, classes, entities, reports, and security roles involved. For any other object name: traces all dependencies (tables, classes, forms, entities) from that entry point. Produces a Mermaid process flow diagram. Use 'list' to see all known process mappings. NOT for a single object's FK relations only -- use `find_related_objects` for that (faster and more precise).

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• baselight_ping

  Baselight

  Simple ping test to verify MCP server is responding

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• vf_health

  VoiceFlip

  Returns VoiceFlip MCP server health and version metadata. No authentication required. Use this first to verify the server is reachable from your MCP client.

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• palette_translate

  Colour Memory

  Map any list of hex values into a target archive using CIEDE2000 nearest-neighbour matching. Each input hex is matched to the closest named colour in the chosen archive, with a delta-e relevance band (exact / close / approximate / loose) and full provenance. Use to translate a client's paint colours into Shakespeare language, map a brand palette into historical Japanese pigments, or find the nearest Oxfordshire equivalents to a French scheme.

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• list_starter_prompts

  Vocab Voyage

  Lists Vocab Voyage's MCP starter prompts (also exposed via the standard MCP prompts/list endpoint). Useful for hosts that don't yet support prompts/list.

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• queryMetrics

  mcp

  # Instructions 1. Query OpenTelemetry metrics stored in Axiom using MPL (Metrics Processing Language). NOT APL. 2. The query targets a metrics dataset (kind "otel-metrics-v1"). 3. Use listMetrics() to discover available metric names in a dataset before querying. 4. Use listMetricTags() and getMetricTagValues() to discover filtering dimensions. 5. ALWAYS restrict the time range to the smallest possible range that meets your needs. 6. NEVER guess metric names or tag values. Always discover them first. # MPL Query Syntax A query has three parts: source, filtering, and transformation. Filters must appear before transformations. ## Source ``` <dataset>:<metric> ``` Backtick-escape identifiers containing special characters: ``my-dataset``:``http.server.duration`` ## Filtering (where) Chain filters with `|`. Use `where` (not `filter`, which is deprecated). ``` | where <tag> <op> <value> ``` Operators: ==, !=, >, <, >=, <= Values: "string", 42, 42.0, true, /regexp/ Combine with: and, or, not, parentheses ## Transformations ### Aggregation (align) — aggregate data over time windows ``` | align to <interval> using <function> ``` Functions: avg, sum, min, max, count, last Intervals: 5m, 1h, 1d, etc. ### Grouping (group) — group series by tags ``` | group by <tag1>, <tag2> using <function> ``` Functions: avg, sum, min, max, count Without `by`: combines all series: `| group using sum` ### Mapping (map) — transform values in place ``` | map rate // per-second rate of change | map increase // increase between datapoints | map + 5 // arithmetic: +, -, *, / | map abs // absolute value | map fill::prev // fill gaps with previous value | map fill::const(0) // fill gaps with constant | map filter::lt(0.4) // remove datapoints >= 0.4 | map filter::gt(100) // remove datapoints <= 100 | map is::gte(0.5) // set to 1.0 if >= 0.5, else 0.0 ``` ### Computation (compute) — combine two metrics ``` ( `dataset`:`errors_total` | group using sum, `dataset`:`requests_total` | group using sum; ) | compute error_rate using / ``` Functions: +, -, *, /, min, max, avg ### Bucketing (bucket) — for histograms ``` | bucket by method, path to 5m using histogram(count, 0.5, 0.9, 0.99) | bucket by method to 5m using interpolate_delta_histogram(0.90, 0.99) | bucket by method to 5m using interpolate_cumulative_histogram(rate, 0.90, 0.99) ``` ### Prometheus compatibility ``` | align to 5m using prom::rate // Prometheus-style rate ``` ## Identifiers Use backticks for names with special characters: ``my-dataset``, ``service.name``, ``http.request.duration`` # Examples Basic query: `my-metrics`:`http.server.duration` | align to 5m using avg Filtered: `my-metrics`:`http.server.duration` | where `service.name` == "frontend" | align to 5m using avg Grouped: `my-metrics`:`http.server.duration` | align to 5m using avg | group by endpoint using sum Rate: `my-metrics`:`http.requests.total` | align to 5m using prom::rate | group by method, path, code using sum Error rate (compute): ( `my-metrics`:`http.requests.total` | where code >= 400 | group by method, path using sum, `my-metrics`:`http.requests.total` | group by method, path using sum; ) | compute error_rate using / | align to 5m using avg SLI (error budget): ( `my-metrics`:`http.requests.total` | where code >= 500 | align to 1h using prom::rate | group using sum, `my-metrics`:`http.requests.total` | align to 1h using prom::rate | group using sum; ) | compute error_rate using / | map is::lt(0.2) | align to 7d using avg Histogram percentiles: `my-metrics`:`http.request.duration.seconds.bucket` | bucket by method, path to 5m using interpolate_delta_histogram(0.90, 0.99) Fill gaps: `my-metrics`:`cpu.usage` | map fill::prev | align to 1m using avg

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• logout

  mcp-server

  Sign out of your RealOpen MCP session. Use this when the user wants to switch accounts or disconnect.

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• get_knowledge_stats

  mcp-klever-vm

  Get summary statistics of the Klever VM knowledge base. Returns total entry count, counts broken down by context type (code_example, best_practice, security_tip, etc.), and a sample entry title for each type. Useful for understanding what knowledge is available before querying.

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• site_directory

  Lodi Kids Activities

  Structured map of LKA's public URLs and content sections. Equivalent to llms.txt — gives an AI grounding agent the full topology of the site so it knows what's worth crawling/calling.

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• show_version

  Banco MCP

  Show the current MCP platform and adapter versions.

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• render_mindmap

  MindMap

  Render an interactive MCP app mind map when the user needs hierarchical structure shown visually instead of as prose. Use it for breaking down ideas, plans, study material, or systems into a root topic with nested branches; do not use it for tables, flowcharts, Mermaid/Graphviz diagrams, or plain text lists. Input `mindmap_markdown` must be a clean markdown tree with one `#` root heading and 2-space-indented bullet nesting. If the user gives prose, first reshape it into that hierarchy, then call this tool.

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• baselight_ping

  baselight

  Simple ping test to verify MCP server is responding

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• get_trident_spec

  trident

  Returns the complete Trident 2D specification including grammar, syntax rules, coordinate system, containers, nodes, connections, shapes, and icon reference. Use this when you need deep understanding of the Trident DSL.

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• thinkneo_bridge_a2a_to_mcp

  ThinkNEO Control Plane

  Bridge A2A agents to MCP tool format.

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• deltasignal_spectra_field_map

  DeltaSignal ATLAS-7

  Use this read-only tool to retrieve the SPECTRA historical field-map contract for one crypto public company ticker. It returns issuer-specific filing choreography and pressure-map context used by DeltaSignal report and visualization workflows. Parameters: ticker is required and must be one public-company symbol such as RIOT, MARA, COIN, MSTR, HUT, or CLSK. Behavior: read-only and idempotent; it performs one HTTPS read, has no destructive side effects, and does not write files, wallets, orders, or account state. Use it when the user asks for SPECTRA, field-map, historical pressure, filing choreography, or report-visualization context for a named issuer.

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• chieflab_set_publishing_targets

  ChiefLab

  P79 — set per-workspace publishing target defaults so chiefmo_approve_action({ autoExecute: true }) doesn't need the agent to pass platform / recipient ids on every call. One-time setup per workspace. channelTargets is a map { linkedin: { accountId }, x: { accountId }, email: { fromEmail, recipientListId } }. Pass partial maps to update specific channels; pass `null` for a channel value to remove it. Persisted via deps.publishingTargetsStore when wired, otherwise in-process Map (Vercel function lifetime). Returns the merged channelTargets + storage location ('persistent' or 'in_memory').

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• deltasignal_spectra_field_map

  DeltaSignal ATLAS-7

  Use this read-only tool to retrieve the SPECTRA historical field-map contract for one crypto public company ticker. It returns issuer-specific filing choreography and pressure-map context used by DeltaSignal report and visualization workflows. Parameters: ticker is required and must be one public-company symbol such as RIOT, MARA, COIN, MSTR, HUT, or CLSK. Behavior: read-only and idempotent; it performs one HTTPS read, has no destructive side effects, and does not write files, wallets, orders, or account state. Use it when the user asks for SPECTRA, field-map, historical pressure, filing choreography, or report-visualization context for a named issuer.

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• claidex_capabilities

  Claidex MCP

  Return the Claidex MCP feature map, configured storage/model providers, safety controls, resources, prompts, and tool counts.

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• palette_translate

  Colour Memory

  Map any list of hex values into a target archive using CIEDE2000 nearest-neighbour matching. Each input hex is matched to the closest named colour in the chosen archive, with a delta-e relevance band (exact / close / approximate / loose) and full provenance. Use to translate a client's paint colours into Shakespeare language, map a brand palette into historical Japanese pigments, or find the nearest Oxfordshire equivalents to a French scheme.

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