AI agent tool reliability // full index

Tools

create_ppt_task aippt-mcp — 根据文本内容和模板ID创建PPT生成任务，返回任务ID（sid）用于查询进度。
get_task_progress aippt-mcp — 查询通过create_ppt_task或create_ppt_by_outline创建的任务进度，任务完成后返回PPT下载地址。
create_outline aippt-mcp — 根据文本内容生成PPT大纲，支持联网搜索补充内容，生成的大纲可用于create_ppt_by_outline。
create_outline_by_doc aippt-mcp — 根据文档内容生成PPT大纲，支持通过URL或本地路径上传文档（格式：pdf、doc、docx、txt、md，大小≤10M，字数≤8000字）。
create_ppt_by_outline aippt-mcp — 根据已生成的大纲和模板ID创建PPT，需通过create_outline或create_outline_by_doc获取大纲，通过get_theme_list获取模板ID。
mark_as_read ai-prishtina-whatsapp-mcp — Trigger read receipts programmatically
send_reaction ai-prishtina-whatsapp-mcp — React to messages with emoji
parse_webhook ai-prishtina-whatsapp-mcp — Parse incoming webhook payloads
verify_webhook_signature ai-prishtina-whatsapp-mcp — Validate that webhooks actually came from Meta
analyze_sentiment ai-prishtina-whatsapp-mcp — AI-powered sentiment analysis
detect_intent ai-prishtina-whatsapp-mcp — Intent detection from message text
translate_message ai-prishtina-whatsapp-mcp — Translate to any language
download_media ai-prishtina-whatsapp-mcp — Download media
get_conversation_history ai-prishtina-whatsapp-mcp — Sliding-window context per phone number
add_to_conversation ai-prishtina-whatsapp-mcp — Add messages to the conversation buffer
health_check_providers ai-prishtina-whatsapp-mcp — Check AI provider health across all registered providers
upload_media ai-prishtina-whatsapp-mcp — Upload media
send_text_message ai-prishtina-whatsapp-mcp — Send a text message to any WhatsApp number
send_bulk_messages ai-prishtina-whatsapp-mcp — Blast to multiple recipients with built-in rate limiting
send_media_message ai-prishtina-whatsapp-mcp — Send images, documents, audio, video
send_template_message ai-prishtina-whatsapp-mcp — Send approved template messages with components
send_interactive_message ai-prishtina-whatsapp-mcp — Send buttons and list messages
s2 ai-project-os-mcp — Transition to S2 (Spec) stage.
s3 ai-project-os-mcp — Transition to S3 (Structure) stage.
s4 ai-project-os-mcp — Transition to S4 (Schedule) stage.
s5 ai-project-os-mcp — Transition to S5 (Ship) stage.
status ai-project-os-mcp — Check the current project status and stage.
init ai-project-os-mcp — Initialize a new AI Project OS project.
s1 ai-project-os-mcp — Start or transition to S1 (Scope) stage.
gnosys_tags_add gnosys — Add a new tag to the registry.
gnosys_reinforce gnosys — Signal whether a memory was useful.
gnosys_update gnosys — Update an existing memory's frontmatter and/or content.
gnosys_migrate gnosys — Migrate a Gnosys store (.gnosys/) from one directory to another.
gnosys_stats gnosys — Summary statistics across all memories — totals by category, status, author, authority, average confidence, and date ranges.
gnosys_discover gnosys — Discover relevant memories by describing what you're working on.
gnosys_read gnosys — Read a specific memory.
gnosys_search gnosys — Search memories by keyword across all stores.
gnosys_list gnosys — List memories across all stores, optionally filtered by category, tag, or store layer.
gnosys_add_structured gnosys — Add a memory with structured fields you supply (title, category, tags, content) — makes no server-side LLM call.
gnosys_add gnosys — Add a memory from raw text; the server's LLM structures it.
gnosys_tags gnosys — List all tags in the registry, grouped by category.
gnosys_init gnosys — Initialize Gnosys in a project directory.
gnosys_stale gnosys — Find memories that haven't been modified or reviewed within a given number of days.
gnosys_commit_context gnosys — Pre-compaction memory sweep.
gnosys_history gnosys — View audit history for a memory.
gnosys_lens gnosys — Filtered view of memories.
gnosys_timeline gnosys — View memory creation and modification activity over time.
gnosys_graph gnosys — Show the full cross-reference graph across all memories.
gnosys_bootstrap gnosys — Batch-import existing documents from a directory into the memory store.
gnosys_import gnosys — Bulk import structured data (CSV, JSON, JSONL) into Gnosys memories.
gnosys_hybrid_search gnosys — Search memories using hybrid keyword + semantic search with Reciprocal Rank Fusion.
gnosys_semantic_search gnosys — Search memories using semantic similarity only (no keyword matching).
gnosys_reindex gnosys — Rebuild all semantic embeddings from every memory file.
gnosys_ask gnosys — Ask a natural-language question and get a synthesized answer with citations from the entire vault.
gnosys_maintain gnosys — Run vault maintenance: detect duplicate memories, apply confidence decay, consolidate similar memories.
gnosys_dearchive gnosys — Force-dearchive memories from archive.db back to active.
gnosys_reindex_graph gnosys — Build or rebuild the wikilink graph (.gnosys/graph.
gnosys_dream gnosys — Run a Dream Mode cycle — idle-time consolidation that decays confidence, generates category summaries, discovers relationships, and creates
gnosys_export gnosys — Export memories to Obsidian vault format.
gnosys_links gnosys — Show wikilinks for a specific memory — outgoing [[links]] and backlinks from other memories.
airbyte_get_attempt_logs airbyte-mcp — Structured log entries for a specific attempt
airbyte_get_cloud_sync_logs airbyte-mcp — Full-text sync logs with pagination (Cloud Config API)
airbyte_trigger_sync airbyte-mcp — Trigger a sync or reset job
airbyte_cancel_job airbyte-mcp — Cancel a running job
airbyte_list_connections airbyte-mcp — List connections / pipelines (filter by workspace)
airbyte_update_connection airbyte-mcp — Update an existing connection
airbyte_list_jobs airbyte-mcp — List jobs (filter by connection, type, status, dates)
airbyte_get_job airbyte-mcp — Get job details (status, duration, bytes/rows synced)
airbyte_get_connection airbyte-mcp — Get connection details including stream config
airbyte_create_connection airbyte-mcp — Create a new connection (pipeline)
airbyte_trigger_clear airbyte-mcp — Clear destination data for streams (internal API, self-managed)
airbyte_wait_for_job airbyte-mcp — Poll until a job reaches a terminal status (internal API)
airbyte_list_jobs_internal airbyte-mcp — List all job types including refresh and clear
airbyte_get_job_details airbyte-mcp — Per-attempt stats, failure reasons, and stacktraces
airbyte_get_job_logs airbyte-mcp — Structured log entries for all attempts
airbyte_get_stream_properties airbyte-mcp — Get stream properties for a source/destination pair
airbyte_list_tags airbyte-mcp — List tags
airbyte_create_tag airbyte-mcp — Create a tag
airbyte_update_tag airbyte-mcp — Update a tag
airbyte_delete_tag airbyte-mcp — Delete a tag
airbyte_list_source_definitions airbyte-mcp — List source connector definitions
airbyte_get_source_definition airbyte-mcp — Get a source connector definition
airbyte_list_destination_definitions airbyte-mcp — List destination connector definitions
airbyte_get_destination_definition airbyte-mcp — Get a destination connector definition
airbyte_health_check airbyte-mcp — Ping the Airbyte API
airbyte_list_workspaces airbyte-mcp — List workspaces with pagination
airbyte_list_sources airbyte-mcp — List source connectors (filter by workspace)
airbyte_get_source airbyte-mcp — Get source details by ID
airbyte_create_source airbyte-mcp — Create a new source connector
airbyte_update_source airbyte-mcp — Update an existing source
airbyte_list_destinations airbyte-mcp — List destination connectors (filter by workspace)
airbyte_get_destination airbyte-mcp — Get destination details by ID
airbyte_create_destination airbyte-mcp — Create a new destination connector
airbyte_update_destination airbyte-mcp — Update an existing destination
airbyte_get_workspace airbyte-mcp — Get workspace details by ID
airbyte_trigger_refresh airbyte-mcp — Trigger a per-stream refresh (internal API, self-managed)
trigger-dag airflow-mcp — 触发指定 DAG 的运行
enable-dag airflow-mcp — 启用指定的 DAG
get-daily-report airflow-mcp — 获取指定时间范围内的所有 DAG 运行的汇总报告
list-dags airflow-mcp — 列出所有可用的 DAG

AI agent tool reliability // full index

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