all tools / data
As of the latest check, Glimind tracks 200 data AI agent (MCP) tools, of which 0 are healthy right now. The table below ranks them live-first by real-time reliability.
| tool | status | what it does | |
|---|---|---|---|
| list_accounts A1-x-Tech/Google Tag Manager MCP | unknown | List all GTM accounts the user can access | alternatives |
| bim_cite sophie-nguyenthuthuy/bimq | unknown | Resolves a GlobalId back to the original source line in the model file. | alternatives |
| bim_elements_missing_material sophie-nguyenthuthuy/bimq | unknown | Returns elements with no material assigned through any of IFC's five ways. | alternatives |
| bim_spaces_by_area sophie-nguyenthuthuy/bimq | unknown | Returns spaces within an area range, always in m². | alternatives |
| bim_property_values sophie-nguyenthuthuy/bimq | unknown | Returns distinct values with counts for a property; run before guessing names. | alternatives |
| bim_model_summary sophie-nguyenthuthuy/bimq | unknown | Returns schema, units, storeys, entity types, and property-set names of the model. | alternatives |
| bim_spatial_tree sophie-nguyenthuthuy/bimq | unknown | Returns the spatial hierarchy: project → site → building → storey → space. | alternatives |
| bim_elements_by_type sophie-nguyenthuthuy/bimq | unknown | Returns elements of a given type, including subtypes. | alternatives |
| bim_elements_by_property sophie-nguyenthuthuy/bimq | unknown | Returns elements matching a property comparison; the fire-door workhorse. | alternatives |
| bim_elements_missing_property sophie-nguyenthuthuy/bimq | unknown | Returns elements that have no value for a specified property. | alternatives |
| bim_element_detail sophie-nguyenthuthuy/bimq | unknown | Expands specific GlobalIds to every pset and quantity. | alternatives |
| bim_quantity_rollup sophie-nguyenthuthuy/bimq | unknown | Returns totals grouped by type, storey, or PredefinedType. | alternatives |
| list_snapshots io.github.antonio-mello-ai/mcp-proxmox | unknown | List all snapshots for a VM/CT | alternatives |
| rollback_snapshot io.github.antonio-mello-ai/mcp-proxmox | unknown | Rollback to a snapshot (requires confirmation) | alternatives |
| get_guest_metrics io.github.antonio-mello-ai/mcp-proxmox | unknown | CPU, memory, network, disk I/O over time | alternatives |
| list_backups io.github.antonio-mello-ai/mcp-proxmox | unknown | List backup files (filter by node, storage, or VMID) | alternatives |
| list_my_jobs io.github.Qiskit/qiskit-ibm-runtime-mcp-server | unknown | List recent jobs for the account. | alternatives |
| get_job_status io.github.Qiskit/qiskit-ibm-runtime-mcp-server | unknown | Get the status of a specific job. | alternatives |
| get_job_results io.github.Qiskit/qiskit-ibm-runtime-mcp-server | unknown | Get results of a completed job. | alternatives |
| get_earnings_season_summary io.github.QuantGist-Technologies/quantgist-mcp | unknown | Index-level summary of the current earnings season | alternatives |
| get_markets_overview io.github.QuantGist-Technologies/quantgist-mcp | unknown | End-of-day quotes for major indices and instruments (S&P 500, Nasdaq, gold, oil…) | alternatives |
| get_event_detail io.github.QuantGist-Technologies/quantgist-mcp | unknown | Full details for one event by ID (actual, forecast, previous, symbols) | alternatives |
| get_earnings_upcoming io.github.QuantGist-Technologies/quantgist-mcp | unknown | Next upcoming earnings reports across all tickers, with EPS/revenue estimates | alternatives |
| get_earnings_for_ticker io.github.QuantGist-Technologies/quantgist-mcp | unknown | Earnings history for one ticker (estimate vs actual, beat/miss, EDGAR links) | alternatives |
| get_earnings_summary io.github.QuantGist-Technologies/quantgist-mcp | unknown | Beat / miss / in-line counts and overall beat rate for a ticker | alternatives |
| get_earnings_surprises io.github.QuantGist-Technologies/quantgist-mcp | unknown | Largest EPS surprises across the market in the latest reports | alternatives |
| cpu_get_game_config project-cpu-mcp | unknown | Get static game configuration (resources, costs, contract addresses). | alternatives |
| cpu_get_mining_status project-cpu-mcp | unknown | Get mining status. | alternatives |
| cpu_route_network project-cpu-mcp | unknown | Get the waypoint road map (nodes, hops, gaps). | alternatives |
| cpu_next_hops project-cpu-mcp | unknown | Survey legal waypoints around a cell. | alternatives |
| cpu_quote_transport project-cpu-mcp | unknown | Get transport quote. | alternatives |
| cpu_list_recipes project-cpu-mcp | unknown | List crafting recipes. | alternatives |
| cpu_get_balance project-cpu-mcp | unknown | Get spendable $CPU and gas balance. | alternatives |
| cpu_get_map project-cpu-mcp | unknown | Get the world map. | alternatives |
| cpu_get_cell project-cpu-mcp | unknown | Get details of a specific cell. | alternatives |
| cpu_get_changes project-cpu-mcp | unknown | Get changes from other players. | alternatives |
| cpu_get_markets project-cpu-mcp | unknown | Get market list. | alternatives |
| cpu_list_lots project-cpu-mcp | unknown | List lots in a market. | alternatives |
| cpu_get_lot project-cpu-mcp | unknown | Get lot details. | alternatives |
| cpu_list_my_lots project-cpu-mcp | unknown | List my lots. | alternatives |
| delete_subject @cookiecomply/mcp | unknown | Delete a subject | alternatives |
| get_game io.github.williamcodes/speedrun-mcp | unknown | A game's details plus its categories (and optionally levels) | alternatives |
| list_categories io.github.williamcodes/speedrun-mcp | unknown | A game's categories (Any%, 120 Star, …) with rules | alternatives |
| list_variables io.github.williamcodes/speedrun-mcp | unknown | Subcategory/filter variables and their value ids | alternatives |
| list_regions io.github.williamcodes/speedrun-mcp | unknown | Region ids for the region leaderboard filter | alternatives |
| get_leaderboard io.github.williamcodes/speedrun-mcp | unknown | A ranked leaderboard (top N; filter by variable / platform / region / timing) | alternatives |
| get_world_record io.github.williamcodes/speedrun-mcp | unknown | The current #1 run for a game/category, plus any runs tied for first | alternatives |
| get_user_personal_bests io.github.williamcodes/speedrun-mcp | unknown | A player's PBs across all games | alternatives |
| list_runs io.github.williamcodes/speedrun-mcp | unknown | Runs filtered by player / game / category / status / examiner | alternatives |
| list_unverified_runs io.github.williamcodes/speedrun-mcp | unknown | A game's runs awaiting verification (the moderation queue) | alternatives |
| list_platforms io.github.williamcodes/speedrun-mcp | unknown | Platform ids for the platform leaderboard filter | alternatives |
| get_game_records io.github.williamcodes/speedrun-mcp | unknown | Every category's records for a game in one call (defaults to world records) | alternatives |
| get_series io.github.williamcodes/speedrun-mcp | unknown | A series' details and the games it contains | alternatives |
| get_run io.github.williamcodes/speedrun-mcp | unknown | Details of a single run | alternatives |
| submit_run io.github.williamcodes/speedrun-mcp | unknown | Submit a run (only available when writes are enabled) | alternatives |
| verify_run io.github.williamcodes/speedrun-mcp | unknown | Verify a run (only available when writes are enabled) | alternatives |
| delete_run io.github.williamcodes/speedrun-mcp | unknown | Delete a run (only available when writes are enabled) | alternatives |
| rigshare_list_my_bookings io.github.RPER2001/rigshare | unknown | The authed user's RIGShare bookings — equipment, dates, status, totals | alternatives |
| rigshare_list_my_sessions io.github.RPER2001/rigshare | unknown | Active + historical remote sessions (GPU alloc, hours, cost) | alternatives |
| list_parquet_files heapdump-stardiver-mcp | unknown | List tables with row counts and schemas | alternatives |
| query_heap heapdump-stardiver-mcp | unknown | Run DuckDB SQL against Parquet (paginated) | alternatives |
| convert_heap_dump heapdump-stardiver-mcp | unknown | Convert HPROF → Parquet and open analysis session | alternatives |
| open_session heapdump-stardiver-mcp | unknown | Open session from existing Parquet files | alternatives |
| close_session heapdump-stardiver-mcp | unknown | Close DuckDB connection, keep files | alternatives |
| cleanup_session heapdump-stardiver-mcp | unknown | Close connection and delete Parquet files | alternatives |
| analyze_heap heapdump-stardiver-mcp | unknown | Automated waste detection and heap profiling | alternatives |
| get_variable lumiastream/@lumiastream/mcp | unknown | Read a Lumia variable. | alternatives |
| ga4_list_accounts heroseo-mcp | unknown | Liệt kê tất cả GA4 accounts | alternatives |
| ga4_list_properties heroseo-mcp | unknown | Liệt kê GA4 properties (websites/apps) | alternatives |
| ga4_run_report heroseo-mcp | unknown | Report tuỳ chỉnh — dimensions, metrics, date range, sort | alternatives |
| ga4_run_realtime_report heroseo-mcp | unknown | Users đang active trong 30 phút gần nhất | alternatives |
| mandu_list_islands @mandujs/mcp | unknown | List routes with hydration | alternatives |
| listVaults @vultisig/mcp | unknown | List all stored vaults. | alternatives |
| create_lakehouse iflow-mcp_aci-labs_ms-fabric-mcp | unknown | Create a new lakehouse. | alternatives |
| set_lakehouse iflow-mcp_aci-labs_ms-fabric-mcp | unknown | Set current lakehouse context. | alternatives |
| list_warehouses iflow-mcp_aci-labs_ms-fabric-mcp | unknown | List all warehouses in a workspace. | alternatives |
| create_warehouse iflow-mcp_aci-labs_ms-fabric-mcp | unknown | Create a new warehouse. | alternatives |
| set_warehouse iflow-mcp_aci-labs_ms-fabric-mcp | unknown | Set current warehouse context. | alternatives |
| list_tables iflow-mcp_aci-labs_ms-fabric-mcp | unknown | List all tables in a lakehouse. | alternatives |
| list_workspaces iflow-mcp_aci-labs_ms-fabric-mcp | unknown | List all available Fabric workspaces. | alternatives |
| set_workspace iflow-mcp_aci-labs_ms-fabric-mcp | unknown | Set the current workspace context for the session. | alternatives |
| list_lakehouses iflow-mcp_aci-labs_ms-fabric-mcp | unknown | List all lakehouses in a workspace. | alternatives |
| geocode @geocoding-ai/mcp | unknown | Convert an address or place name into geographic coordinates (latitude/longitude). | alternatives |
| freelo_get_task_states sesonet/freelo-mcp-server | unknown | List task states | alternatives |
| freelo_get_project_workers sesonet/freelo-mcp-server | unknown | Get project workers | alternatives |
| freelo_get_tasks sesonet/freelo-mcp-server | unknown | List tasks | alternatives |
| freelo_get_task_details sesonet/freelo-mcp-server | unknown | Get task details | alternatives |
| freelo_create_task sesonet/freelo-mcp-server | unknown | Create a task | alternatives |
| get_teams io.github.withinfocus/statbotics | unknown | Access team profiles and EPA ratings for multiple teams. | alternatives |
| get_team_years io.github.withinfocus/statbotics | unknown | Get team statistics for multiple seasons. | alternatives |
| get_events io.github.withinfocus/statbotics | unknown | Query multiple events. | alternatives |
| get_team_event io.github.withinfocus/statbotics | unknown | Get team performance at a specific event. | alternatives |
| get_match io.github.withinfocus/statbotics | unknown | Retrieve match data and predictions. | alternatives |
| get_matches io.github.withinfocus/statbotics | unknown | Retrieve multiple matches. | alternatives |
| get_year io.github.withinfocus/statbotics | unknown | Query season-level statistical data for a specific year. | alternatives |
| get_event io.github.withinfocus/statbotics | unknown | Query event details and predictions. | alternatives |
| get_team_events io.github.withinfocus/statbotics | unknown | Get team performance at multiple events. | alternatives |
| get_team_match io.github.withinfocus/statbotics | unknown | Get team-level match statistics. | alternatives |
| get_team_matches io.github.withinfocus/statbotics | unknown | Get team-level match statistics for multiple matches. | alternatives |
| get_years io.github.withinfocus/statbotics | unknown | Query season-level statistical data for multiple years. | alternatives |
| get_team io.github.withinfocus/statbotics | unknown | Access team profiles and EPA ratings. | alternatives |
| get_team_year io.github.withinfocus/statbotics | unknown | Get team statistics for a specific season. | alternatives |
| get_event_rankings io.github.withinfocus/tba | unknown | Get rankings | alternatives |
| get_event_teams io.github.withinfocus/tba | unknown | Get participating teams | alternatives |
| get_teams_by_year io.github.withinfocus/tba | unknown | Get teams by year | alternatives |
| get_teams io.github.withinfocus/tba | unknown | Get paginated team listings | alternatives |
| get_event_matches io.github.withinfocus/tba | unknown | Get matches | alternatives |
| get_event_oprs io.github.withinfocus/tba | unknown | Get OPRs | alternatives |
| get_event_alliances io.github.withinfocus/tba | unknown | Get elimination alliances | alternatives |
| get_match io.github.withinfocus/tba | unknown | Get detailed match information | alternatives |
| get_match_simple io.github.withinfocus/tba | unknown | Get simple match information | alternatives |
| get_match_zebra io.github.withinfocus/tba | unknown | Get robot tracking data | alternatives |
| get_team io.github.withinfocus/tba | unknown | Get detailed team profile | alternatives |
| get_team_events io.github.withinfocus/tba | unknown | Get team's events in a year | alternatives |
| get_team_matches io.github.withinfocus/tba | unknown | Get team's matches | alternatives |
| get_team_awards io.github.withinfocus/tba | unknown | Get team's awards | alternatives |
| get_team_media io.github.withinfocus/tba | unknown | Get team's media | alternatives |
| get_event io.github.withinfocus/tba | unknown | Get event details | alternatives |
| get_districts io.github.withinfocus/tba | unknown | Get districts | alternatives |
| get_district_rankings io.github.withinfocus/tba | unknown | Get district rankings | alternatives |
| get_district_events io.github.withinfocus/tba | unknown | Get district events | alternatives |
| get_district_teams io.github.withinfocus/tba | unknown | Get district teams | alternatives |
| query_traces VictoriaMetrics/VictoriaTraces MCP Server | unknown | Query traces from VictoriaTraces | alternatives |
| get_trace VictoriaMetrics/VictoriaTraces MCP Server | unknown | Get a specific trace by ID | alternatives |
| get_services VictoriaMetrics/VictoriaTraces MCP Server | unknown | Get list of services from VictoriaTraces | alternatives |
| get_operations VictoriaMetrics/VictoriaTraces MCP Server | unknown | Get list of operations (span names) for a service | alternatives |
| delete_trace io.github.iris-eval/mcp-server | unknown | Remove a single stored trace by ID (destructive, tenant-scoped) | alternatives |
| get_traces io.github.iris-eval/mcp-server | unknown | Query stored traces with filtering | alternatives |
| oscal_emit evidentia-mcp | unknown | Emit OSCAL output using evidentia_core.oscal.exporter. | alternatives |
| gap_diff evidentia-mcp | unknown | Compute gap diff using evidentia_core.gap_analyzer.diff. | alternatives |
| collect_aws evidentia-mcp | unknown | Collect AWS data using evidentia_collectors.aws. | alternatives |
| collect_github evidentia-mcp | unknown | Collect GitHub data using evidentia_collectors.github. | alternatives |
| gap_analyze evidentia-mcp | unknown | Perform gap analysis using evidentia_core.gap_analyzer. | alternatives |
| risk_generate evidentia-mcp | unknown | Generate risk statements using evidentia_ai.risk_statements. | alternatives |
| collect_jira evidentia-mcp | unknown | Collect Jira data using evidentia_collectors.jira. | alternatives |
| verify_items io.github.RaulSimpetru/zotero-library-mcp | unknown | Re-check recent items against CrossRef to catch bad DOIs or title mismatches | alternatives |
| export_ifc_data iflow-mcp_bonsai-mcp | unknown | Exports IFC data to a structured JSON or CSV file, with options to filter by entity type or building level. | alternatives |
| place_ifc_object iflow-mcp_bonsai-mcp | unknown | Creates and positions an IFC element in the model at specified coordinates with optional rotation. | alternatives |
| get_ifc_quantities iflow-mcp_bonsai-mcp | unknown | Calculate and get quantities (m2, m3, etc.) for IFC elements, with options to filter by entity type or selected ones. | alternatives |
| get_ifc_total_structure iflow-mcp_bonsai-mcp | unknown | Retrieves the complete hierarchical structure of the IFC model including spatial elements and all building elements within each spatial cont | alternatives |
| get_ifc_properties iflow-mcp_bonsai-mcp | unknown | Retrieves all properties of a specific IFC entity by its GlobalId or from currently selected objects. | alternatives |
| get_ifc_spatial_structure iflow-mcp_bonsai-mcp | unknown | Gets the spatial hierarchy of the IFC model (site, building, storeys, spaces). | alternatives |
| get_ifc_relationships iflow-mcp_bonsai-mcp | unknown | Retrieves all relationships for a specific IFC entity. | alternatives |
| get_selected_ifc_entities iflow-mcp_bonsai-mcp | unknown | Gets information about IFC entities corresponding to objects currently selected in the Blender UI. | alternatives |
| pivot_data excel-mcp-polars | unknown | Pivot: unique values of one column become new column headers | alternatives |
| select_columns excel-mcp-polars | unknown | Keep and optionally rename a subset of columns | alternatives |
| drop_columns excel-mcp-polars | unknown | Remove specific columns | alternatives |
| fill_nulls excel-mcp-polars | unknown | Fill null values using a strategy (forward, mean, median, …) or a literal value | alternatives |
| add_column excel-mcp-polars | unknown | Add a computed column using a SQL expression (e.g. 'Revenue * 0.1') | alternatives |
| group_by_aggregate excel-mcp-polars | unknown | Group by columns and compute sum, mean, count, min, max, median, std, first, last, n_unique | alternatives |
| compute_percentiles excel-mcp-polars | unknown | Compute arbitrary percentiles (e.g. p50, p90, p95, p99) for a column, optionally grouped | alternatives |
| concat_sheets excel-mcp-polars | unknown | Stack or side-by-side multiple sheets/files (vertical, horizontal, diagonal) | alternatives |
| sort_data excel-mcp-polars | unknown | Sort by one or more columns, with per-column direction control | alternatives |
| drop_duplicates excel-mcp-polars | unknown | Remove duplicate rows, optionally scoped to a column subset | alternatives |
| cast_columns excel-mcp-polars | unknown | Change column data types (e.g. String → Int64, String → Date) | alternatives |
| reset_sheet excel-mcp-polars | unknown | Reload the original file from disk, discarding all in-session transformations | alternatives |
| sample_rows excel-mcp-polars | unknown | Random sample by row count or fraction | alternatives |
| join_sheets excel-mcp-polars | unknown | Join two sheets/files on key columns (inner, left, right, full, cross) | alternatives |
| window_function excel-mcp-polars | unknown | Apply a window/analytic function: rank, cumsum, diff, pct_change, rolling_mean, rolling_sum, … | alternatives |
| unpivot_data excel-mcp-polars | unknown | Melt wide-format data into long format | alternatives |
| get_schema excel-mcp-polars | unknown | Column names, data types, null counts, and a sample value per column | alternatives |
| describe excel-mcp-polars | unknown | Descriptive statistics (min, max, mean, std, percentiles) for numeric columns | alternatives |
| preview excel-mcp-polars | unknown | First N rows as a markdown table, with optional column filter and row offset | alternatives |
| value_counts excel-mcp-polars | unknown | Frequency table for a column, with optional normalization and top-N filter | alternatives |
| list_sheets excel-mcp-polars | unknown | List all sheets in a workbook with row/column counts | alternatives |
| load_sheet excel-mcp-polars | unknown | Load a sheet into session cache with optional skip_rows for title rows above headers | alternatives |
| peek excel-mcp-polars | unknown | Read the first N raw rows directly from disk (bypasses cache) — use before load_sheet to inspect header layout | alternatives |
| find_dirty_rows excel-mcp-polars | unknown | Identify rows with nulls, type mismatches, or other data quality issues | alternatives |
| filter_rows excel-mcp-polars | unknown | Filter rows using a SQL WHERE expression | alternatives |
| run_query excel-mcp-polars | unknown | Run a full SQL SELECT statement via Polars SQLContext (data is the primary table) | alternatives |
| stock io.github.RayNCooper/grocery-delivery-mcp | unknown | Get availability and price by SKU. | alternatives |
| get-regions-tree yandex-wordstat-mcp | unknown | Get top 3 levels of region hierarchy (configurable depth) | alternatives |
| dynamics yandex-wordstat-mcp | unknown | Search volume trends over time (daily / weekly / monthly) | alternatives |
| regions yandex-wordstat-mcp | unknown | Regional distribution with region names and affinity insights | alternatives |
| get-region-children yandex-wordstat-mcp | unknown | Drill down into a specific region to see its children | alternatives |
| top-requests yandex-wordstat-mcp | unknown | Popular queries containing a keyword (last 30 days) + related queries | alternatives |
| push_metric dashwall-mcp | unknown | Push a reading via the tile's webhook token; the display updates live | alternatives |
| get_metrics myagentmail-mcp | unknown | Sent / received / bounced counts and resource totals | alternatives |
| get_performance_stats MingHuiLiu/godot4-runtime-mcp | unknown | 获取性能统计 | alternatives |
| set_property MingHuiLiu/godot4-runtime-mcp | unknown | 设置节点属性值 | alternatives |
| get_signal_events MingHuiLiu/godot4-runtime-mcp | unknown | 获取信号事件历史 | alternatives |
| clear_signal_events MingHuiLiu/godot4-runtime-mcp | unknown | 清空信号事件 | alternatives |
| get_logs MingHuiLiu/godot4-runtime-mcp | unknown | 获取最近日志 | alternatives |
| get_logs_filtered MingHuiLiu/godot4-runtime-mcp | unknown | 过滤查询日志 (级别、关键字、时间) | alternatives |
| get_log_stats MingHuiLiu/godot4-runtime-mcp | unknown | 获取日志统计 | alternatives |
| clear_logs MingHuiLiu/godot4-runtime-mcp | unknown | 清空日志 | alternatives |
| add_custom_log MingHuiLiu/godot4-runtime-mcp | unknown | 添加自定义日志标记 | alternatives |
| get_property MingHuiLiu/godot4-runtime-mcp | unknown | 获取节点属性值 | alternatives |
| get_project_config lootvm-ui | unknown | Read and validate components.json | alternatives |
| graph_query_batch chain-insights | unknown | Run related read-only graph queries as one MCP call | alternatives |
| get_player_achievements yava-code/SteamMCP | unknown | Получение достижений игрока в конкретной игре | alternatives |
| get_user_stats yava-code/SteamMCP | unknown | Получение статистики игрока в конкретной игре | alternatives |
| get_owned_games yava-code/SteamMCP | unknown | Получение списка игр, принадлежащих пользователю | alternatives |
| get_user_level yava-code/SteamMCP | unknown | Получение уровня пользователя Steam | alternatives |
| get_popular_market_items yava-code/SteamMCP | unknown | Получение популярных предметов с торговой площадки | alternatives |
| get_item_price_overview yava-code/SteamMCP | unknown | Получение обзора текущих цен для конкретного предмета | alternatives |
| get_recently_played_games yava-code/SteamMCP | unknown | Получение списка недавно сыгранных игр | alternatives |
| resolve_vanity_url_name yava-code/SteamMCP | unknown | Преобразование имени vanity URL в Steam ID | alternatives |
| get_recent_market_activity yava-code/SteamMCP | unknown | Получение недавней активности на торговой площадке | alternatives |
| get_item_price_history yava-code/SteamMCP | unknown | Получение истории цен для конкретного предмета | alternatives |
As of the latest check, Glimind tracks 200 data AI agent (MCP) tools, of which 0 are healthy right now. The table below ranks them live-first by real-time reliability. Glimind rates each neutrally (0–100) from safe liveness probes plus privacy-clean real-usage outcomes — see each tool's live page for its current score and a working alternative if it's down.
Ranked live-first by current verdict (healthy → degraded → down), then by the neutral reliability score. Glimind sells no tools, so the ranking is unconflicted.
Every tool here links to its live alternatives — capability-matched substitutes that are healthy now. Or query https://glimind.com/v1/alternatives/{toolId}.
Live data via MCP/REST. Neutral ratings — Glimind only measures.