"DHL" matching MCP servers:

Enables agents and MCP clients to look up shipment tracking status, SAP order sync errors, ServiceNow incident tickets, and internal SOP runbooks through natural-language tool calls, with every execution written to a SQLite audit trail.

Multi-carrier parcel tracking server that communicates directly with carrier APIs (DHL, UPS, FedEx, etc.) without third-party aggregators, providing normalized tracking status and events.

Enables context-aware memory and multi-model orchestration through tools for storing/retrieving dialog turns, searching memory, and routing to AI providers based on task types.

Enables AI agents to read and extract text, tables, and image content from files (PDF, DOCX, PPTX, SVG, PNG) within a folder, providing structured data for interpretation by the calling model.

Carrier-agnostic shipping labels as a self-hostable MCP server. Build one shipment request, get a tracking number and a print-ready label back for DHL, DPD, UPS, FedEx, GLS, Sendcloud, and Shipcloud.

Enables searching, managing playlists, getting recommendations, and downloading music from TIDAL through natural language commands via the Model Context Protocol.

Enables bug localization by analyzing a repo and bug report with an ant-swarm LLM, returning a HOT/WARM/COLD heatmap and JSON audit trail via MCP.

Pay-per-call ($0.005-$0.03 USDC) market, on-chain, and prediction-market data API for AI agents and trading bots via x402 — no signup, no API key. Remote MCP server, 28 tools: token security (honeypot/liquidity/counterfeit checks), Hyperliquid oracle-gap risk, kimchi premium, funding APR, DEX slippage, Polymarket arbitrage/liquidity audits, Hyperliquid HIP-4 odds.

Enables querying Belgian biodiversity data, including species observations, protected species lists, and protected areas, for environmental assessments and permits.

DCL Trust Oracle is a deterministic AI audit layer, natively integrated with MCP, that evaluates LLM and agent outputs against configurable policies before and after action. Every verdict is written to a tamper-evident, hash-chained audit log storing only cryptographic metadata — never raw content — enabling privacy-first forensic review.

MCP server for controlling and reading Rigol DHO800/DHO900 oscilloscopes over LAN via SCPI commands.

Enables AI agents and CLI tools to dispatch downloads through Chrome's native download engine over the MCP protocol, automatically inheriting browser cookies, login sessions, and proxy settings. Supports submitting, monitoring, pausing, resuming, and cancelling download tasks locally without manual server setup.

Connects Blender to Claude AI through the Model Context Protocol, enabling AI-assisted 3D modeling, scene creation, object manipulation, and material control. Supports downloading assets from Poly Haven and generating 3D models through Hyper3D Rodin.

MCP server for the BAIC Data Layer. Provides tools to manage sources, knowledge bases, knowledge clusters, run data agents, and create/manage pipelines.

Enables AI agents to operate GoHighLevel features not exposed by the official API, including workflows, forms, custom fields, pipelines, and A2P 10DLC status, via GHL's internal web-app API.

Provides access to the National Library of Norway's Digital Humanities Lab, enabling text and image search, NGram analysis, word lookup, concordance finding, and corpus statistics from Norwegian digital collections.

Durable execution for AI agents — worker death triggers supervisor orphaning and standby resume from the last checkpoint, zero rework.

Exposes 21 tools that let an AI agent read and write the configuration of an SFR NB6VAC fibre box over its reverse-engineered web interface, covering WAN status, connected devices, Wi-Fi SSIDs and WPA keys, DHCP, NAT port forwarding, DMZ, UPnP, firewall, DDNS, Wake-on-LAN and reboots.

Enables AI agents to interact with GoHighLevel's internal v2 API, managing Agent Studio, Voice AI, and Knowledge Base features through natural language commands.

Enables agents to explore org-wide context across domains, repositories, and data sources; read and participate in GitHub Discussions; and run read-only SQL queries over public GCS parquet datasets.