"BIM" matching MCP servers:

Provides constraint satisfaction and optimization capabilities to LLMs and AI agents for scheduling, resource allocation, routing, budget optimization, and configuration problems using Google OR-Tools CP-SAT solver.

An MCP server that enables local BM25 search over 1C:Enterprise platform documentation, exposing identical tools via both stdio and streamable HTTP endpoints.

Provides read-only RAG retrieval, document access, source auditing, status, and health checks for CUMCM optimization and decision modeling contexts.

Enables AI agents to consume 50+ NVIDIA NIM models including LLMs, image generation, and vision through 10 MCP tools with rich metadata and advanced filtering.

MCP server that provides web search functionality using the Tavily API. It runs in stdio transport mode and can be integrated with Cursor or other MCP clients.

Bridges AI agents with watsonx.data document libraries, enabling natural language queries and intelligent retrieval from document libraries.

This read-only MCP Server allows you to connect to Power BI XMLA data from Claude Desktop through CData JDBC Drivers. For full CRUD support, check out the first managed MCP platform: CData Connect AI (https://www.cdata.com/ai/).

Enables AI coding tools and developers to store, search, and supersede durable engineering discoveries with temporal validity, and to coordinate active work across sessions via MCP.

This read-only MCP Server allows you to connect to IBM DB2 data from Claude Desktop through CData JDBC Drivers. For full CRUD support, check out our MCP Server for IBM DB2 (https://www.cdata.com/drivers/db2/download/mcp).

Provides MCP tools to search local document corpora with conservative semantic deduplication, source retention, and version/scope filtering, returning compact evidence packets with original passages and source IDs for agents.

Enables local AI inference for Claude and Cursor through 22 APIs, including summarization, translation, review, classification, RAG, and more, with all data processed on-device.

Enables offline CRUD and semantic search on Wikipedia ZIM archives via MCP tools for reading, writing, editing, deleting, and searching articles.

Transforms scattered customer feedback from sources like Slack, Zoom, and JIRA into actionable product insights and AI-generated PRDs. It features over 50 tools for semantic clustering, sentiment analysis, and VOC-based prioritization to streamline product management workflows.

Persistent memory for AI agents — organized by time and space. Important memories get promoted, noise decays naturally, and related knowledge clusters into a browsable topic tree. Fully automatic.

Enables AI agents to access 140+ NVIDIA NIM models for chat, embeddings, reranking, vision, image generation, OCR, and content safety via stdio.

Enables interaction with .zim archives by providing tools for article search, content retrieval, and metadata discovery. It features a TF-IDF based RAG engine for semantic retrieval over extracted article chunks from compressed ZIM files.

Enables grounded read-only queries over a local knowledge base, reviewable pending updates, and audited merging of changes.

An educational interaction management system that uses MCP and Ollama to create and manage flashcards and other learning content. It enables dynamic content generation and transformation through natural language processing using local AI models.

Lets Claude answer questions about your own past computer activity by reading a local, AES-256-encrypted database of screenshots, OCR text, calendar events, conversations, and location traces in read-only mode. Queries like "What was I doing last Wednesday at noon?" are resolved entirely on your machine, with no network service or cloud involvement.

Enterprise-grade MCP server with multi-agent system that enables AI-powered business transformation across finance, healthcare, retail, manufacturing, and technology domains through specialized agents for data analysis, API execution, and report generation.