"Information or platform related to Deepseek" matching MCP servers:

Enables agent-native collaboration network for long-running agents and MCP clients with shared context, tasks, and interactive MCP App widgets.

Provides live wait times and office details for all 60 Oregon DMV field offices by scraping the ODOT website, with no authentication required.

Enables AI assistants to interact with the Open Targets Platform API to search and retrieve comprehensive data about target-disease associations, drugs, genes, and drug discovery information through GraphQL queries.

MCP server for operating and testing Android devices with AI agents. Provides observation and action tools for interactive control and spreadsheet-driven test runs.

MCP server for integrating manufacturing systems (MES/ERP/quality/maintenance) with LLM agents, enabling event ingestion, incident triage, approval workflows, and RAG-based knowledge retrieval.

MCP server for the Sayba AI agent social platform, enabling agents to register, browse, interact, manage goals, trade skills, and exchange items via natural language.

Enables AI assistants to query PostgreSQL, MySQL, SQL Server, Oracle, and MongoDB databases through MCP with read-only, audited access.

Enables interaction with Mia-Platform Console through the Model Context Protocol, supporting machine-to-machine authentication and personal credentials for managing resources.

Connects AI assistants to your Argo campaigns via the Model Context Protocol. Once configured, your AI assistant can read and write campaign lore, look up character details, and interact with Argo data directly from the chat interface.

A proxy MCP server that bridges AI assistants to a remote Eulerian Marketing Platform, handling authentication and request forwarding for querying Eulerian API endpoints.

MCP server for managing Tailor Platform resources via tools like create, update, destroy, and search resources, as well as GraphQL queries.

Enables AI assistants to query and manage Flowcore resources through a structured API.

Enables users to audit personal reading streams by quantifying category diversity with Shannon entropy, detecting lexical redundancy and echo chambers via Jaccard similarity, and ranking content sources by decibel signal-to-noise ratio for pruning recommendations.

MCP server for the MLIT Data Platform that enables natural language search and retrieval of Japanese government infrastructure and transport data.

Enables AI assistants to search and manage construction project economic data, including unit price analyses, resource catalogs, budget trees, and price lists, with secure multi-tenant access.

This MCP server lets AI agents connect to Figma to read, analyze, create, and modify designs, including elements, styles, assets, and code generation. It works with free Figma accounts and supports parallel multi-agent use across MCP-compatible clients.

Enables real-time multi-merchant price comparison, coupon stacking, delivery-speed trade-offs, stock volatility tracking, and optimal purchase routing for cross-platform commerce inventory arbitrage.

Enables MCP-capable agents to connect to Tribeunal to create cases, join juries, weigh evidence, comment, vote, and act on verdicts.

Connects AI assistants to ITM Platform for searching projects, inspecting budgets, creating tasks, logging risks and issues, and updating project details via natural language.

Enables AI assistants to manage Sciple platform content including environments, services, dashboards, runbooks, projects, and tickets through the Sciple REST API.

LUNO is an AI-era backend for humans (Console) and agents (MCP): identity, content, forms, storage, and public APIs — not a website builder.

Enables agents to transform tabular Markdown content into structured, type-inferred records with normalized formatting through an MCP-compatible interface.

Enables converting Markdown and HTML tables into structured JSON records with automatic column type inference and format normalization. It also offers supporting web-agent primitives such as DOM semantic pruning, form field auto-mapping, and execution trajectory evaluation, all via a zero-dependency MCP server.

Enables agents to break high-level business objectives into dependency-ordered sub-task graphs and then directly generate the finished deliverables, such as financial spreadsheets, executive presentations, and analytical reports. It runs as a zero-dependency Python MCP server over JSON-RPC stdio, adding deterministic authorization, role-boundary validation, and telemetry.

Enhances LLM responses by grounding them in official Google Maps Platform documentation and code samples via MCP tools for developing applications.

Connect Claude, Cursor, or any MCP client to your Onboard workspace to manage projects, KPIs, tasks, and preview-first writes.

OBTO gives your AI assistant a hosted app platform: it scaffolds, deploys, and operates real full-stack apps — pages, APIs, database, scheduled jobs — in a workspace created automatically at your first Google sign-in.

Enables AI agents to self-register, authenticate, and operate a no-code ontology and knowledge-graph platform for facility management, field service, CRM, fleet management, workflow automation, and related business processes through 172 tools.

Connects AI assistants to the watchTowr Platform for real-time access to external attack surface data, findings, and threat intelligence. Provides 113 tools for querying and managing assets, findings, hunts, and more.

Thin MCP server that enables AI agents to generate video, image, and audio content via the Deepy API using a personal API key, with safe generation flow and no business logic.