Find local keyword opportunities for any business. Returns keyword difficulty, current rank, search volume, and competitor data to improve local SEO.
MIT
136,896 tools. Last updated 2026-05-21 13:58
"Utilizing Local LLMs for Query Preprocessing with Minions Framework" matching MCP tools:
- Get AI search volume and trends for keywords to understand visibility in ChatGPT and other LLMs.MIT
- Query historical agent-execution traces with filters for agent name, framework, date range, and eval scores. Paginate results and optionally include dashboard summary statistics.MIT
- Generate a spec-compliant llms.txt file for a domain by reading its sitemap, sampling pages, and synthesizing a grouped summary. Optionally creates llms-full.txt with full page text.MIT
- Execute tests for TQL pipelines to verify operator functionality, run regression checks, and debug issues using the tenzir-test framework.Apache 2.0
- Fills text inputs or textareas with a specified value, clearing existing content and dispatching input/change events for framework compatibility.MIT
Matching MCP Servers
- AlicenseCqualityDmaintenanceA customizable Model Context Protocol server implementation that enables AI models to interact with external tools including weather queries, Google search, and camera control functionality.Last updated114Apache 2.0
- AlicenseCqualityCmaintenanceA powerful Model Context Protocol framework that extends Cursor IDE with tools for web content retrieval, PDF processing, and Word document parsing.Last updated817MIT
Matching MCP Connectors
Find local businesses on Google: name, address, phone, hours, ratings, and photos.
The BigQuery remote MCP server is a fully managed service that uses the Model Context Protocol to connect AI applications and LLMs to BigQuery data sources. It provides secure, standardized tools for AI agents to list datasets and tables, retrieve schemas, generate and execute SQL queries through natural language, and analyze data—enabling direct access to enterprise analytics data without requiring manual SQL coding.
- Retrieve official step-by-step instructions to instrument Scout APM for your framework, supporting web, background jobs, and database libraries.MIT
- Read and chunk a datasheet PDF for analysis. Supports local file upload or fetching cached chunks by part SKU, with optional keyword filtering to reduce context usage.Apache 2.0
- Search for stock photos by query with optional filters for orientation, size, color, and locale. Returns results with mandatory photographer attribution.MIT
- Map security framework controls to EU regulation requirements to identify which articles satisfy specific security controls.Apache 2.0
- Query the local audit log of every write operation performed. Filter by kind, target, status, and time with AND logic.MIT
- Search for stock videos by query with optional orientation, size, and locale filters. Returns HD-quality .mp4 links with mandatory attribution.MIT
- Query Elasticsearch indices using query DSL with enabled highlights. Connect and interact with Elasticsearch data via the Elasticsearch MCP Server for precise search results.
- Initialize a Zetrix smart contract development environment with project structure, testing framework, and utilities for blockchain application development.MIT
- Query nodes in the MCP Memory Server's knowledge graph to match entity names, types, and observation content, enabling precise information retrieval for LLMs.MIT
- Search system JSON files by query to find matching documents with relevance scores for enhanced reasoning workflows.MIT
- Analyze SQL query performance by retrieving actual execution plans with runtime statistics to identify optimization opportunities.Apache 2.0
- Get performance metrics for Local campaigns: impressions, clicks, conversions, cost. Filter by campaign ID and date range to analyze local ad performance.MIT
- Identify Go payment handlers lacking structured audit logging per PCI DSS 10.2.1. Detects missing or unstructured logging with framework-aware scanning.MIT
- Get detailed UI metadata and preprocessing info for a specific assignment action to prepare form or page views before performing the action.Apache 2.0