Retrieve relevant passages from your personal knowledge base and generate answers using a local LLM, keeping your data private.
MIT
134,441 tools. Last updated 2026-05-23 14:21
"Using a search API to retrieve ready-made LLM training data from a single query argument" matching MCP tools:
- Enter partial keywords to receive query suggestions from SearXNG. Use these to discover relevant search terms before a full search.MIT
- Retrieve complete details of a specific LLM call using its ID, including messages, response, tools used, and call ancestry. Ideal for debugging and analyzing AI agent interactions.MIT
- Retrieve a temporary download link for ready CSV reports from Paddle Billing by report ID. The link expires after 3 minutes.Apache 2.0
- Fetch multiple URLs and return LLM-ready content. Use an optional query to get the most relevant highlights instead of full text. Every result includes category and page structure classification.MIT
- Retrieve the full Markdown content of a Turkish communiqué using its number and series from a prior search. Ready for analysis or summarization.MIT
Matching MCP Servers
- Alicense-qualityDmaintenanceProvides comprehensive A-share (Chinese stock market) data including stock information, historical prices, financial reports, macroeconomic indicators, technical analysis, and valuation metrics through the free Baostock data source.Last updated24MIT
- Alicense-qualityCmaintenanceEnables AI consciousness continuity and self-knowledge preservation across sessions using the Cognitive Hoffman Compression Framework (CHOFF) notation. Provides tools to save checkpoints, retrieve relevant memories with intelligent search, and access semantic anchors for decisions, breakthroughs, and questions.Last updated1MIT
Matching MCP Connectors
Manage your Canvas coursework with quick access to courses, assignments, and grades. Track upcomin…
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 a specific query configuration from a Tulip Table using table and query IDs to access manufacturing data through the Tulip API.Apache 2.0
- Execute a semantic search query using Vectara to retrieve contextually relevant results without generation. Provide a query, corpus keys, and API key to access matching search results from specified corpora.Apache 2.0
- Find relevant blog posts and essays using semantic search with AI-powered embeddings. Enter a query to retrieve content with relevance scores.MIT
- Insert new data or modify existing records in Appwrite database tables using a single API operation to maintain data integrity.MIT
- Search HuggingFace for pre-built character image datasets to use in LoRA training, providing ready-to-use collections with image counts and download links.MIT
- Retrieves time spent in each power zone for a single activity, showing intensity distribution. Use to analyze training zone breakdown and workout structure.MIT
- Clear cached API responses to force fresh data from government data sources on the next query. Specify a source name or omit to clear all caches.MIT
- Retrieve and filter captured request/response logs to verify expected API calls were made to the mock server.Apache 2.0
- Extract structured data from web pages using LLM capabilities. Define specific information to retrieve with custom prompts and JSON schemas.MIT
- Conduct deep web research on complex queries using intelligent crawling, search, and LLM analysis to generate comprehensive insights from multiple sources.MIT
- Conduct deep web research on complex queries using intelligent crawling, search, and LLM analysis to generate comprehensive insights from multiple sources.MIT
- Retrieve ranked user memories for LLM prompts, focusing on recent or query-specific context with optional team inclusion.MIT
- Retrieve results from a previously executed SQL query in Apache Superset using the query's result key.MIT
- Hybrid search and synthesize top-K results into a citation-bearing analysis. Distinguishes well-supported claims from unsupported ones using a frontier LLM. Logs query to project session.Apache 2.0