"TED" matching MCP servers:

Enables AI agents to search, count, and validate EU public-procurement notices from the Tenders Electronic Daily database through read-only, keyless queries using keyword, country, CPV, date-range, and expert-syntax filters. It can run locally over stdio or as a token-protected HTTPS connector, returning notice titles, buyers, values, and links.

Neutral MCP server for researching public procurement notices from EU (TED) and German (DÖE) sources, offering tools to search, retrieve, and inspect notices without built-in business preferences.

Optimizes REST API calls for AI agents by returning compact schemas instead of full responses, allowing agents to fetch only needed fields via jq masks, reducing token consumption by up to 50x.

Enables MCP clients to submit AI agent claims for verification, read verdicts, and fetch or offline-verify signed receipts.

Enables mortgage risk assessment and underwriting by calculating DTI, LTV, credit risk, income stability, and asset sufficiency, and by aggregating these factors into a loan recommendation with conditions and compensating factors.

Retrieves, parses, and analyzes speeches and testimonies from Federal Reserve officers, enabling searches by speaker, topic, and keyword with automatic RSS feed discovery and intelligent relevance scoring.

MCP server integrating VolcEngine for automatic speech recognition (ASR) and text-to-speech (TTS), converting audio to text or text to audio files.

A lightweight, self-hosted MCP server that connects LLM-based agents to Red Hat Lightspeed services, enabling natural language querying of read-only (and optionally write) operations across Advisor, Image Builder, Inventory, Planning, Remediations, and Vulnerability services.

Enables structured robustness and security testing by scanning text for policy/safety issues and generating test suite outlines.

Connects AI assistants to Big Red Cloud accounting data, enabling read-only lookups and safe write operations with confirmation drafts.

Enables querying Federal Reserve communications as structured data: FOMC meeting calendar, policy statements with parsed rate decisions, votes, and sentence-level redlines, minutes by section, speeches and testimony, and the Beige Book by district.

Searches U.S. banks and holding companies, and retrieves their ownership hierarchies and merger/acquisition histories from Federal Reserve NIC data.

A high-performance MCP server for semantic search and codebase indexing using the Qdrant vector database. It features optimized embedding pipelines, AST-aware chunking, and git metadata enrichment for fast, privacy-focused local or remote search.

Provides weather data from the Thai Meteorological Department (TMD) with tools for querying stations, weather by province, and summaries, deployable via Docker or remote server.

Exposes Node-RED flows as MCP tools for AI assistants, with OAuth protection and optional admin tools for flow management.

Enables AI coding agents to perform end-to-end medical image analysis locally, from inspecting CT/MRI/X-ray studies and running containerized segmentation models like MedSAM2, TotalSegmentator, and HD-BET to refining masks, measuring volumes, and writing reports. It pairs preset or custom guideline protocols with a code-customizable viewer that renders images back to agents as annotated PNGs and to humans as interactive HTML.

A lightweight service that enables AI assistants to execute AWS CLI commands through the Model Context Protocol (MCP), allowing AI tools to retrieve AWS documentation and interact with AWS services.

Enables Claude to run Kubernetes CLI tools (kubectl, istioctl, helm, argocd) in a secure, containerized environment via the Model Context Protocol.

MCP server that renders LaTeX to PDF via pdflatex, supporting raw LaTeX and Jinja2 templates with artifact generation.

Enables users to run synthetic support-agent evaluations, preserve and inspect traces, score results deterministically, inject failures, and enforce release review gates through MCP tools, resources, and prompts.