MCP server for querying your local Google Takeout activity (Search/YouTube history) via SQLite/FTS5. Provides tools for keyword search, activity stats, and database info, enabling AI assistants to cite your personal history.
Free, open-source web search gateway and MCP server for LLMs, AI agents, and RAG. It provides no-key web, code, academic, and community search with deduplication, ranking fusion, and citation-ready results.
A multi-agent RAG MCP server that answers questions from your documents with a human-in-the-loop approval step, using a coordinator, retriever, and synthesizer agents.
Enables hybrid search over Telegram community message history, combining full-text and semantic search with incremental sync for Claude Desktop integration.
Provides access to a community knowledge base of 16k+ debugging solutions and 223+ reusable skills, plus auto-scanned project-specific knowledge bases that learn and store solutions as you work.
Enables interaction with OpenAI's Chat Completion and Assistants APIs, supporting assistant management, file operations, and direct queries to GPT models through standardized MCP tools.
Connects GPT-4 to a merchant store API, allowing users to query and manage store data for the Tnc_Store merchant through natural language interactions.
Manage, explore, transform and join data in Kafka topics across multiple clusters using different flavours of Apache Kafka via Lenses.io (including the free Community Edition)
Connect any MCP-compatible AI client to the entire FlowDot platform, enabling management of workflows, recipes, custom nodes, apps, knowledge bases, agent toolkits, and community features.
A lightweight, local RAG memory store for MCP agents that enables recording, retrieval, updating, and visualization of persistent memories across runs.
Enables AI assistants to save, retrieve, and manage research content using ChromaDB vector storage with semantic search, topic organization, and automatic deduplication powered by OpenAI embeddings.
A generic MCP server for conversational AI document research using the Pinecone Assistant API, providing customizable RAG knowledge base access without embedding complexities.
Enables AI assistants to search internal knowledge bases, create Confluence articles, file Jira tickets, and look up Okta users, with guardrails and streaming support.