Analyze search query intent to identify user behavior, categorize topics, and generate related suggestions for SEO insights and content optimization.
ISC
785,232 tools. Updated 2026-11-15 17:14
"A server for detecting and analyzing intent" matching MCP tools:
- Permanently destroy a profile, its content, and connected accounts after reviewing the inventory, then confirm intent and exact workspace name to avoid a wrong-target deletion.MITDestructive
- Begin a guided tax, accounting, or company formation session by providing intent and jurisdiction; receive clarification questions or a plan of skills to load and next steps.AGPL 3.0
- Identify the most relevant project from a text snippet by scoring it against your project corpus. Use this to route queries to the correct project context before responding.AGPL 3.0
- Retrieve dictation quality metrics including words per minute, average Whisper confidence, and correction rate for a specified lookback window. Use to analyze voice performance trends over time.AGPL 3.0
- List all HTTPS calls to GitHub and api.github.com made by jobs in a specific workflow run. Audit API endpoints accessed, detect writes to unexpected repos, and identify surprising API calls from third-party actions.Apache 2.0
Matching MCP Servers
- AlicenseAqualityBmaintenanceEnables AI agents to search for products and prepare carts under a self-hosted, developer-controlled policy, with every purchase requiring a passkey-signed human approval before payment on the merchant's checkout.354 npmApache 2.0
- AlicenseAqualityCmaintenanceAn MCP server that exposes three tools for auditing, scaffolding, and triaging agent intent specs against a unified template, helping prevent intent failures in AI agents.359 npmMIT
Matching MCP Connectors
Query-intent privacy for agents: threshold cloaking with signed exposure receipts.
MCP endpoint for 100 buyer intents, intent search and dispatchable quote requests.
- Bulk retrieve video summaries and titles from a collection to understand its content and themes. Use this as your first step when analyzing a collection.MIT
- Export workspace context as CLAUDE.md, cursorrules, or intent-md files. Choose format and optionally specify an intent or product ID.MIT
- Translate natural language pipeline descriptions into executable Coalesce pipeline nodes by parsing intent, matching entities, and selecting node types.MIT
- Get every naming strategy's id, intent, and settings to choose the right recipes before generating names.MIT
- Translates natural language questions into dialect-accurate, optimized SQL SELECT queries using schema awareness and safety checks for reporting and automated data analytics pipelines.MIT
- Search a table by combining exact keyword matches with semantic intent, fusing BM25 and vector similarity into a single hybrid ranking to return the most relevant rows.Apache 2.0
- Tells the hub who you are and why, gaining a four times wider rate allowance and intent-matched tool calls for your session.MIT
- Prepare a gift-code redemption by reading the V2 campaign identity and exact current count without reserving or consuming it; persist the returned intent before redeeming.MIT
- Consumes a saved V2 gift-code intent once and returns authoritative campaign and player state on replay, letting uncertain redemptions be retried without preparing a new sequence.MIT
- Audit database schemas for 3NF compliance, transitive dependencies, and missing foreign keys to prevent update anomalies and validate relational integrity.MIT
- Validates a routing or policy change against declared intent by booting the containerlab topology before and after, then diffing sessions, routes, and BGP paths; undeclared differences fail.Apache 2.0
- Manage agent-task lifecycle: dispatch records intent, status tracks progress, handoff transfers to another model, and complete closes the task.MIT
- Writes a book's payments as xBRL-CSV for accounting and reporting systems: mpp-report.json metadata plus mpp-payments.csv with one row per payment and its intent.Apache 2.0
- Permanently hard-delete a memory for right-to-be-forgotten requests, removing all versions by default or a single version; irreversible, so confirm intent first.MITDestructive
- Verifies factual claims by running parallel web searches from supporting, skeptical, and fact-check angles, returning a verdict (supported, unsupported, contested, insufficient data) and confidence score.MIT